26.1.12.5 Grammar Based Analysis, Language Issues, Natural Language

Silberer, C.[Carina], Ferrari, V.[Vittorio], Lapata, M.[Mirella],
Visually Grounded Meaning Representations,
PAMI(39), No. 11, November 2017, pp. 2284-2297.
IEEE DOI 1710
Computational modeling, Data models, Feature extraction, Neural networks, Pragmatics, Semantics, Visualization, Cognitive simulation, concept learning, connectionism and neural nets, distributed representations, natural, language, processing BibRef

He, Q.[Qi], Chang, K.Y.[Kui-Yu], Lim, E.P.[Ee-Peng], Banerjee, A.[Arindam],
Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models,
PAMI(32), No. 10, October 2010, pp. 1795-1808.
IEEE DOI 1008
I.e. sorting through news streams. BibRef

Quan, X.J.[Xiao-Jun], Liu, W.Y.[Wen-Yin], Qiu, B.[Bite],
Term Weighting Schemes for Question Categorization,
PAMI(33), No. 1, January 2011, pp. 1009-1021.
IEEE DOI 1104
For user interactions. BibRef

Giannone, C.[Cristina], Basili, R.[Roberto], Naggar, P.[Paolo], Moschitti, A.[Alessandro],
Supervised semantic relation mining from linguistically noisy text documents,
IJDAR(14), No. 2, June 2011, pp. 213-228.
WWW Link. 1106
BibRef

Hutchinson, B., Ostendorf, M., Fazel, M.,
Low Rank Language Models for Small Training Sets,
SPLetters(18), No. 9, September 2011, pp. 489-492.
IEEE DOI 1108
BibRef

Bassiou, N.[Nikoletta], Kotropoulos, C.[Constantine],
Long distance bigram models applied to word clustering,
PR(44), No. 1, January 2011, pp. 145-158.
Elsevier DOI 1003
Word clustering; Language modeling; Distance bigrams; Probabilistic latent semantic analysis; Relative cluster validity indices; Trigger-pairs; Spectral clustering; Cluster dispersion; Cluster sense precision; Cluster sense recall; WordNet BibRef

Ray, S.K.[Santosh Kumar], Singh, S.[Shailendra], Joshi, B.P.,
A semantic approach for question classification using WordNet and Wikipedia,
PRL(31), No. 13, 1 October 2010, pp. 1935-1943.
Elsevier DOI 1003
Question Answering System; Question classification; Answer validation; WordNet; Google; Wikipedia BibRef

Yu, Z.T.[Zheng-Tao], Su, L.[Lei], Li, L.[Lina], Zhao, Q.[Quan], Mao, C.L.[Cun-Li], Guo, J.Y.[Jian-Yi],
Question classification based on co-training style semi-supervised learning,
PRL(31), No. 13, 1 October 2010, pp. 1975-1980.
Elsevier DOI 1003
Chinese question classification; Word semantic similarity; Semi-supervised learning; Co-training BibRef

Petrou, M.[Maria],
The road to intelligence,
IVC(30), No. 8, August 2012, pp. 474-475.
Elsevier DOI 1209
Opinion paper; Intelligent systems; System architecture; Tower of knowledge; Human language BibRef

Takçi, H.[Hidayet], Güngör, T.[Tunga],
A high performance centroid-based classification approach for language identification,
PRL(33), No. 16, 1 December 2012, pp. 2077-2084.
Elsevier DOI 1210
Language identification; Centroid-based classification; IDF (inverse document frequency); ICF (inverse class frequency) BibRef

Yuret, D.,
FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely Lexical Substitutes Based on an N-Gram Language Model,
SPLetters(19), No. 11, November 2012, pp. 725-728.
IEEE DOI 1210
BibRef

Zhu, J.B.[Jing-Bo], Zhang, C.L.[Chun-Liang], Ma, M.Y.[Matthew Y.],
Multi-Aspect Rating Inference with Aspect-Based Segmentation,
AffCom(3), No. 4 2012, pp. 469-481.
IEEE DOI 1302
Inconsistent ratings in text. BibRef

Kouritzin, M.A., Newton, F., Wu, B.[Biao],
On Random Field Completely Automated Public Turing Test to Tell Computers and Humans Apart Generation,
IP(22), No. 4, April 2013, pp. 1656-1666.
IEEE DOI 1303
Turing Test. BibRef

Lim, S.[Soojong], Lee, C.K.[Chang-Ki], Ra, D.Y.[Dong-Yul],
Dependency-based semantic role labeling using sequence labeling with a structural SVM,
PRL(34), No. 6, 15 April 2013, pp. 696-702.
Elsevier DOI 1303
Semantic role labeling; Natural language; Semantic analysis; Sequence labeling; Structural SVM BibRef

Banea, C.[Carmen], Mihalcea, R.[Rada], Wiebe, J.[Janyce],
Porting Multilingual Subjectivity Resources across Languages,
AffCom(4), No. 2, 2013, pp. 211-225.
IEEE DOI 1307
Availability BibRef

Sheen, S.[Shina], Anitha, R., Sirisha, P.,
Malware detection by pruning of parallel ensembles using harmony search,
PRL(34), No. 14, 2013, pp. 1679-1686.
Elsevier DOI 1308
Malware detection BibRef

Cristani, M.[Marco], Pesarin, A.[Anna], Drioli, C.[Carlo], Tavano, A.[Alessandro], Perina, A.[Alessandro], Murino, V.[Vittorio],
Generative modeling and classification of dialogs by a low-level turn-taking feature,
PR(44), No. 8, August 2011, pp. 1785-1800.
Elsevier DOI 1104
Dialog analysis; Generative modeling; Classification; Feature extraction BibRef

Wiebe, J., Riloff, E.,
Finding Mutual Benefit between Subjectivity Analysis and Information Extraction,
AffCom(2), No. 4, 2011, pp. 175-191.
IEEE DOI 1202
sentiments from text BibRef

Gelernter, J.[Judith], Balaji, S.[Shilpa],
An algorithm for local geoparsing of microtext,
GeoInfo(17), No. 4, October 2013, pp. 635-667.
Springer DOI 1309
Language parsing. Finding location information in the message, not simply the location of the person (location reference of the contents). BibRef

Finch, A.[Andrew], Song, W.[Wei], Tanaka-Ishii, K.[Kumiko], Sumita, E.[Eiichiro],
Speaking Louder than Words with Pictures Across Languages,
AIMag(34), No. 2, Summer 2013, pp. 31-47.
WWW Link. 1309
GUI to support use of images on mobile device for trans-language communication. BibRef

Li, Y.[Yan], Qin, Z.[Zhen], Xu, W.[Weiran], Ji, H.[Heng], Guo, J.[Jun],
Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification,
IEICE(E96-D), No. 12, December 2013, pp. 2805-2813.
WWW Link. 1312
BibRef

Zeng, X.D.[Xiao-Dong], Wong, D.F.[Derek F.], Chao, L.S.[Lidia S.], Trancoso, I.[Isabel], He, L.Y.[Liang-Ye], Huang, Q.P.[Qiu-Ping],
Lexicon expansion for latent variable grammars,
PRL(42), No. 1, 2014, pp. 47-55.
Elsevier DOI 1404
Latent variable grammar BibRef

Neviarouskaya, A., Aono, M.,
Sentiment Word Relations with Affect, Judgment, and Appreciation,
AffCom(4), No. 4, October 2013, pp. 425-438.
IEEE DOI 1406
BibRef

Kang, N.[Ni], Brinkman, W.P., van Riemsdijk, M.B., Neerincx, M.A.,
An Expressive Virtual Audience with Flexible Behavioral Styles,
AffCom(4), No. 4, October 2013, pp. 326-340.
IEEE DOI 1406
natural language interfaces BibRef

Seon, C.N.[Choong-Nyoung], Lee, H.J.[Hyun-Jung], Kim, H.[Harksoo], Seo, J.Y.[Jung-Yun],
Improving domain action classification in goal-oriented dialogues using a mutual retraining method,
PRL(45), No. 1, 2014, pp. 154-160.
Elsevier DOI 1407
Mutual retraining method BibRef

Zmugg, R.[René], Thaller, W.[Wolfgang], Krispel, U.[Ulrich], Edelsbrunner, J.[Johannes], Havemann, S.[Sven], Fellner, D.W.[Dieter W.],
Procedural architecture using deformation-aware split grammars,
VC(30), No. 9, September 2014, pp. 1009-1019.
Springer DOI 1410
BibRef

Wu, H.[Hao], Bu, J.J.[Jia-Jun], Chen, C.[Chun], Zhu, J.K.[Jian-Ke], Zhang, L.J.[Li-Jun], Liu, H.F.[Hai-Feng], Wang, C.[Can], Cai, D.[Deng],
Locally discriminative topic modeling,
PR(45), No. 1, 2012, pp. 617-625.
Elsevier DOI 1410
Topic modeling BibRef

Chen, C., Buntine, W., Ding, N., Xie, L., Du, L.,
Differential Topic Models,
PAMI(37), No. 2, February 2015, pp. 230-242.
IEEE DOI 1502
Bayes methods. Comparing different document collections. BibRef

Park, S.[Sungrae], Lee, W.[Wonsung], Moon, I.C.[Il-Chul],
Efficient extraction of domain specific sentiment lexicon with active learning,
PRL(56), No. 1, 2015, pp. 38-44.
Elsevier DOI 1503
Sentiment analysis BibRef

Chen, N., Zhu, J., Xia, F., Zhang, B.,
Discriminative Relational Topic Models,
PAMI(37), No. 5, May 2015, pp. 973-986.
IEEE DOI 1504
Analytical models. link structure and document contents for document networks. BibRef

Bianchetti, R.A.[Raechel A.], MacEachren, A.M.[Alan M.],
Cognitive Themes Emerging from Air Photo Interpretation Texts Published to 1960,
IJGI(4), No. 2, 2015, pp. 551-571.
DOI Link 1504
BibRef

Liu, B.Q.[Bing-Quan], Feng, J.[Jian], Liu, M.[Ming], Hu, H.F.[Hai-Feng], Wang, X.L.[Xiao-Long],
Predicting the quality of user-generated answers using co-training in community-based question answering portals,
PRL(58), No. 1, 2015, pp. 29-34.
Elsevier DOI 1505
Co-training BibRef

Zheng, Y.[Yin], Zemel, R.S.[Richard S.], Zhang, Y.J.[Yu-Jin], Larochelle, H.[Hugo],
A Neural Autoregressive Approach to Attention-based Recognition,
IJCV(113), No. 1, May 2015, pp. 67-79.
Springer DOI 1506
BibRef
Earlier: A1, A3, A4, Only:
Topic Modeling of Multimodal Data: An Autoregressive Approach,
CVPR14(1370-1377)
IEEE DOI 1409
multimodal data; neural autoregressive approach; topic modeling latent Dirichlet allocation (LDA). BibRef

Zheng, Y.[Yin], Zhang, Y.J.[Yu-Jin], Larochelle, H.[Hugo],
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data,
PAMI(38), No. 6, June 2016, pp. 1056-1069.
IEEE DOI 1605
Computational modeling BibRef

Pang, J., Jia, F., Zhang, C., Zhang, W., Huang, Q., Yin, B.,
Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades,
MultMed(17), No. 6, June 2015, pp. 843-853.
IEEE DOI 1506
Accidents BibRef

Pang, J., Tao, F., Zhang, C., Zhang, W., Huang, Q., Yin, B.,
Robust Latent Poisson Deconvolution From Multiple Features for Web Topic Detection,
MultMed(18), No. 12, December 2016, pp. 2482-2493.
IEEE DOI 1612
Deconvolution BibRef

Park, S.N.[Su Nghyun], Scherer, S., Gratch, J., Carnevale, P.J., Morency, L.P.,
I Can Already Guess Your Answer: Predicting Respondent Reactions during Dyadic Negotiation,
AffCom(6), No. 2, April 2015, pp. 86-96.
IEEE DOI 1507
behavioural sciences computing BibRef

Wang, N., Pynadath, D.V., Marsella, S.C.,
Subjective Perceptions in Wartime Negotiation,
AffCom(6), No. 2, April 2015, pp. 118-126.
IEEE DOI 1507
Atmospheric measurements BibRef

Pang, L., Zhu, S., Ngo, C.W.,
Deep Multimodal Learning for Affective Analysis and Retrieval,
MultMed(17), No. 11, November 2015, pp. 2008-2020.
IEEE DOI 1511
Feature extraction BibRef

Caled, D.[Danielle], Beyssac, P.[Pedro], Xexéo, G.[Geraldo], Zimbrão, G.[Geraldo],
Buzzword detection in the scientific scenario,
PRL(69), No. 1, 2016, pp. 42-48.
Elsevier DOI 1601
Buzzword detection BibRef

Ren, F., Matsumoto, K.,
Semi-Automatic Creation of Youth Slang Corpus and Its Application to Affective Computing,
AffCom(7), No. 2, April 2016, pp. 176-189.
IEEE DOI 1606
Context BibRef

Mihalcea, R., Garimella, A.,
What Men Say, What Women Hear: Finding Gender-Specific Meaning Shades,
IEEE_Int_Sys(31), No. 4, July 2016, pp. 62-67.
IEEE DOI 1608
Blogs BibRef

Kim, T.Y.[Tae-Yeon], Yi, S.H.[Soon-Hyung],
Reading comprehension by content-related audiovisual feedback in children's story application (app),
IJCVR(6), No. 3, 2016, pp. 300-308.
DOI Link 1608
Study effect of audiovisual feedback for story reading apps on comprenhension. Best with related a-v in the app. BibRef

Bi, S.[Size], Han, X.Y.[Xiao-Yu], Tian, J.[Jing], Liang, X.[Xiao], Wang, Y.[Yang], Huang, T.L.[Ting-Lei],
Data Association at the Level of Narrative Plots to Support Analysis of Spatiotemporal Evolvement of Conflict: A Case Study in Nigeria,
IJGI(5), No. 10, 2016, pp. 188.
DOI Link 1610
BibRef

Song, M., Yoo, C.D.,
Multimodal representation: Kneser-ney smoothing/skip-gram based neural language model,
ICIP16(2281-2285)
IEEE DOI 1610
Context BibRef

Gatti, L., Guerini, M., Turchi, M.,
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis,
AffCom(7), No. 4, October 2016, pp. 409-421.
IEEE DOI 1612
Context modeling BibRef

Méndez-Cruz, C.F.[Carlos-Francisco], Medina-Urrea, A.[Alfonso], Sierra, G.[Gerardo],
Unsupervised morphological segmentation based on affixality measurements,
PRL(84), No. 1, 2016, pp. 127-133.
Elsevier DOI 1612
Unsupervised learning BibRef

Bekele, M.K.[Mafkereseb Kassahun], de By, R.A.[Rolf A.], Singh, G.[Gaurav],
Spatiotemporal Information Extraction from a Historic Expedition Gazetteer,
IJGI(5), No. 12, 2016, pp. 221.
DOI Link 1612
BibRef

Ryu, S.H.[Seong-Han], Kim, S.[Seokhwan], Choi, J.[Junhwi], Yu, H.[Hwanjo], Lee, G.G.[Gary Geunbae],
Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems,
PRL(88), No. 1, 2017, pp. 26-32.
Elsevier DOI 1703
Natural language processing BibRef

Lee, C.K.[Chang-Ki], Jung, S.K.[Sang-Keun], Park, C.E.[Cheon-Eum],
Anaphora resolution with pointer networks,
PRL(95), No. 1, 2017, pp. 1-7.
Elsevier DOI 1708
Anaphora resolution BibRef

Wang, X.N.[Xiao-Nan], Du, S.H.[Shi-Hong], Feng, C.C.[Chen-Chieh], Zhang, X.Y.[Xue-Ying], Zhang, X.Y.[Xiu-Yuan],
Interpreting the Fuzzy Semantics of Natural-Language Spatial Relation Terms with the Fuzzy Random Forest Algorithm,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Si, N.W.[Nian-Wen], Wang, H.J.[Heng-Jun], Shan, Y.D.[Yi-Dong],
Exploring global sentence representation for graph-based dependency parsing using BLSTM-SCNN,
PRL(105), 2018, pp. 96-104.
Elsevier DOI 1804
Artificial intelligence, Natural language processing, Graph-based dependency parsing, Convolutional Neural Network BibRef

Nguyen, J.[Jennifer], Sánchez-Hernández, G.[Germán], Agell, N.[Núria], Rovira, X.[Xari], Angulo, C.[Cecilio],
A decision support tool using Order Weighted Averaging for conference review assignment,
PRL(105), 2018, pp. 114-120.
Elsevier DOI 1804
OWA, Decision support systems, Conference reviewer assignment BibRef

Wang, B.[Bin], Ou, Z.J.[Zhi-Jian], Tan, Z.Q.[Zhi-Qiang],
Learning Trans-Dimensional Random Fields with Applications to Language Modeling,
PAMI(40), No. 4, April 2018, pp. 876-890.
IEEE DOI 1804
learning (artificial intelligence), natural language processing, random processes, sampling methods, undirected graphical modeling BibRef

Dalva, D.[Dogan], Guz, U.[Umit], Gurkan, H.[Hakan],
Effective semi-supervised learning strategies for automatic sentence segmentation,
PRL(105), 2018, pp. 76-86.
Elsevier DOI 1804
Machine learning, Multi-view semi-supervised learning, Co-training, Sentence segmentation, Boosting BibRef

Malheiro, R., Panda, R., Gomes, P., Paiva, R.P.,
Emotionally-Relevant Features for Classification and Regression of Music Lyrics,
AffCom(9), No. 2, April 2018, pp. 240-254.
IEEE DOI 1806
Adaptation models, Affective computing, Context, Emotion recognition, Feature extraction, Music, Semantics, recognition of group emotion BibRef

Xin, R.[Rui], Ai, T.H.[Ting-Hua], Ai, B.[Bo],
Metaphor Representation and Analysis of Non-Spatial Data in Map-Like Visualizations,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Fu, X.[Xiao], Huang, K.J.[Ke-Jun], Sidiropoulos, N.D.[Nicholas D.], Shi, Q.J.[Qing-Jiang], Hong, M.Y.[Ming-Yi],
Anchor-Free Correlated Topic Modeling,
PAMI(41), No. 5, May 2019, pp. 1056-1071.
IEEE DOI 1904
Correlation, Biological system modeling, Analytical models, Optimization, Data models, Games, Tensile stress, Topic modeling, nonnegative matrix factorization BibRef

Kim, H.[Hyemin], Yang, S.[Seon], Ko, Y.J.[Young-Joong],
How to utilize syllable distribution patterns as the input of LSTM for Korean morphological analysis,
PRL(120), 2019, pp. 39-45.
Elsevier DOI 1904
Syllable embedding, Morpheme distribution, Syllable distribution pattern, Bi-LSTM-CRF, POS tagging BibRef

Runck, B.C.[Bryan C.], Manson, S.[Steven], Shook, E.[Eric], Gini, M.[Maria], Jordan, N.[Nicholas],
Using word embeddings to generate data-driven human agent decision-making from natural language,
GeoInfo(23), No. 2, Apriul 2019, pp. 221-242.
WWW Link. 1906
BibRef

Lu, W.M.[Wei-Ming], Ma, P.K.[Peng-Kun], Yu, J.[Jiale], Zhou, Y.F.[Yang-Fan], Wei, B.G.[Bao-Gang],
Metro maps for efficient knowledge learning by summarizing massive electronic textbooks,
IJDAR(22), No. 2, June 2019, pp. 99-111.
Springer DOI 1906
BibRef

Terenin, A.[Alexander], Magnusson, M.[Måns], Jonsson, L.[Leif], Draper, D.[David],
Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler,
PAMI(41), No. 7, July 2019, pp. 1709-1719.
IEEE DOI 1906
Convergence, Computational modeling, Complexity theory, Resource management, Parallel processing, Probability, Color, topic models BibRef

Chaturvedi, I.[Iti], Satapathy, R.[Ranjan], Cavallari, S.[Sandro], Cambria, E.[Erik],
Fuzzy commonsense reasoning for multimodal sentiment analysis,
PRL(125), 2019, pp. 264-270.
Elsevier DOI 1909
Sentiment prediction, Fuzzy logic, Deep learning, Multi-modal BibRef

Cao, X.F.[Xue-Fei], Li, J.H.[Ji-Hong], Wang, R.[Ruibo], Wang, Y.[Yu], Niu, Q.[Qian], Shi, J.F.[Jun-Feng],
Calibrating GloVe model on the principle of Zipf's law,
PRL(125), 2019, pp. 715-720.
Elsevier DOI 1909
Distributed representation, Zipf's law, Co-occurrences, GloVe, BibRef

Kekeç, T.[Taygun], Mimno, D.[David], Tax, D.M.J.[David M.J.],
Boosted negative sampling by quadratically constrained entropy maximization,
PRL(125), 2019, pp. 310-317.
Elsevier DOI 1909
Word embeddings, Contrastive learning, Negative sampling, Entropy maximization, Semantic similarity BibRef

Bustio-Martínez, L.[Lázaro], Muñoz-Briseño, A.[Alfredo], Cumplido, R.[René], Hernández-León, R.[Raudel], Feregrino-Uribe, C.[Claudia],
A novel multi-core algorithm for frequent itemsets mining in data streams,
PRL(125), 2019, pp. 241-248.
Elsevier DOI 1909
Frequent itemsets mining, Data streams, Lexicographic order, Gearman, Parallel algorithms BibRef

Lee, H.G.[Hyeon-Gu], Kim, H.[Harksoo],
GF-Net: Improving machine reading comprehension with feature gates,
PRL(129), 2020, pp. 8-15.
Elsevier DOI 2001
Gate mechanism for linguistic feature, Gated feature network, Machine reading comprehension BibRef

Tellols, D.[Dolça], Lopez-Sanchez, M.[Maite], Rodríguez, I.[Inmaculada], Almajano, P.[Pablo], Puig, A.[Anna],
Enhancing sentient embodied conversational agents with machine learning,
PRL(129), 2020, pp. 317-323.
Elsevier DOI 2001
Embodied conversational agents, Machine learning, Virtual tutors BibRef

Chang, J.Y.[Jae-Young],
Multi-document summarisation using feature distribution analysis,
IJCVR(10), No. 2, 2020, pp. 111-121.
DOI Link 2003
BibRef

Selosse, M.[Margot], Jacques, J.[Julien], Biernacki, C.[Christophe],
Textual data summarization using the Self-Organized Co-Clustering model,
PR(103), 2020, pp. 107315.
Elsevier DOI 2005
Co-Clustering, Document-term matrix, Latent block model BibRef

Ganguly, D.[Debasis],
Learning variable-length representation of words,
PR(103), 2020, pp. 107306.
Elsevier DOI 2005
Word embedding, Compression and sparsity, Lexical semantics BibRef

Xia, Z., Yi, P., Liu, Y., Jiang, B., Wang, W., Zhu, T.,
GENPass: A Multi-Source Deep Learning Model for Password Guessing,
MultMed(22), No. 5, May 2020, pp. 1323-1332.
IEEE DOI 2005
Password, Neural networks, Deep learning, Training, Computational modeling, Markov processes, Neural networks, text processing BibRef

Choi, J.[Jaekeol], Lee, S.W.[Sang-Woong],
Improving FastText with inverse document frequency of subwords,
PRL(133), 2020, pp. 165-172.
Elsevier DOI 2005
Word embedding, FastText, Inverse document frequency, Word2vec BibRef

Spasic, I., Williams, L., Buerki, A.,
Idiom-Based Features in Sentiment Analysis: Cutting the Gordian Knot,
AffCom(11), No. 2, April 2020, pp. 189-199.
IEEE DOI 2006
Sentiment analysis, Feature extraction, Semantics, Thesauri, Crowdsourcing, Pattern recognition, Sentiment analysis, feature extraction BibRef

Worsham, J.[Joseph], Kalita, J.[Jugal],
Multi-task learning for natural language processing in the 2020s: Where are we going?,
PRL(136), 2020, pp. 120-126.
Elsevier DOI 2008
Multi-task learning, Task relationship, Natural language processing BibRef

Al-Shaibani, M.S.[Maged S.], Alyafeai, Z.[Zaid], Ahmad, I.[Irfan],
Meter classification of Arabic poems using deep bidirectional recurrent neural networks,
PRL(136), 2020, pp. 1-7.
Elsevier DOI 2008
Arabic poetry, Poem-meter classification, Bidirectional RNNs, Deep learning BibRef

Alhathloul, Z.[Zainab], Ahmad, I.[Irfan],
Automatic dottization of Arabic text (Rasms) using deep recurrent neural networks,
PRL(162), 2022, pp. 47-55.
Elsevier DOI 2210
Arabic NLP, Dottization of Arabic Rasms, Bidirectional RNNs, Deep learning BibRef

Liu, C.[Cheng], Wang, X.F.[Xiao-Fang],
Quality-related English text classification based on recurrent neural network,
JVCIR(71), 2020, pp. 102724.
Elsevier DOI 2009
Recurrent neural network, Text categorization, English categorization, Feature Word Categorization BibRef

Lu, W.P.[Wen-Peng], Zhang, X.[Xu], Lu, H.M.[Hui-Min], Li, F.F.[Fang-Fang],
Deep hierarchical encoding model for sentence semantic matching,
JVCIR(71), 2020, pp. 102794.
Elsevier DOI 2009
Hierarchical encoding model, Hierarchical measure mechanism, Sentence similarity, Semantic equivalence identification, Text representation BibRef

Aldana-Bobadilla, E.[Edwin], Molina-Villegas, A.[Alejandro], Lopez-Arevalo, I.[Ivan], Reyes-Palacios, S.[Shanel], Muñiz-Sanchez, V.[Victor], Arreola-Trapala, J.[Jean],
Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Burdisso, S.G.[Sergio G.], Errecalde, M.[Marcelo], Montes-y-Gómez, M.[Manuel],
t-SS3: A text classifier with dynamic n-grams for early risk detection over text streams,
PRL(138), 2020, pp. 130-137.
Elsevier DOI 1806
Early text classification, Dynamic word n-grams, Incremental classification, SS3, Explainability, Trie, Digital tree BibRef

Rajiv, S., Navaneethan, C.,
Keyword weight optimization using gradient strategies in event focused web crawling,
PRL(142), 2021, pp. 3-10.
Elsevier DOI 2101
BibRef
And: Corrigendum: PRL(161), 2022, pp. 8.
Elsevier DOI 2209
Web crawler, Web-based retrieval system, Term frequency (TF) based feature extraction, Support vector machine (SVM) classifiers BibRef

El-Allaly, E.D.[Ed-Drissiya], Sarrouti, M.[Mourad], En-Nahnahi, N.[Noureddine], Ouatik El Alaoui, S.[Said],
DeepCADRME: A deep neural model for complex adverse drug reaction mentions extraction,
PRL(143), 2021, pp. 27-35.
Elsevier DOI 2102
Adverse drug reaction, Complex mentions, N-level model, N-level tagging sequence, Deep bidirectional transformer, Natural language processing BibRef

Çelikkanat, A.[Abdulkadir], Malliaros, F.D.[Fragkiskos D.],
Topic-aware latent models for representation learning on networks,
PRL(144), 2021, pp. 89-96.
Elsevier DOI 2103
Network representation learning, Node embeddings, Link prediction, Community structure BibRef

Khysru, K., Jin, D., Huang, Y., Feng, H., Dang, J.,
A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words,
SPLetters(28), 2021, pp. 459-463.
IEEE DOI 2103
Semantics, Standards, Interpolation, Speech recognition, Probability, Predictive models, Internet, Functional words, tibetan radical suffix BibRef

de Rosa, G.H.[Gustavo H.], Papa, J.P.[João P.],
A survey on text generation using generative adversarial networks,
PR(119), 2021, pp. 108098.
Elsevier DOI 2108
Text generation, Generative adversarial Networks, Machine learning, Language modeling, Natural language processing BibRef

Hao, F.[Fei], Gao, J.[Jie], Bisogni, C.[Carmen], Min, G.[Geyong], Loia, V.[Vincenzo], de Maio, C.[Carmen],
Stability of three-way concepts and its application to natural language generation,
PRL(149), 2021, pp. 51-58.
Elsevier DOI 2108
Three-way concept, Stability, Natural language generation BibRef

Shi, Y.[Yong], Xiao, Y.[Yang], Quan, P.[Pei], Lei, M.L.[Ming-Long], Niu, L.F.[Ling-Feng],
Document-level relation extraction via graph transformer networks and temporal convolutional networks,
PRL(149), 2021, pp. 150-156.
Elsevier DOI 2108
Document-level relation extraction, Heterogeneous graph, Temporal convolutional networks BibRef

Singh, P.[Parvinder], Sharma, B.[Bhawna],
Anti-phishing model based on relative content mining,
IJCVR(12), No. 1, 2022, pp. 66-84.
DOI Link 2112
BibRef

Huang, X.[Xin], Peng, Y.X.[Yu-Xin], Wen, Z.[Zhang],
Visual-Textual Hybrid Sequence Matching for Joint Reasoning,
Cyber(51), No. 12, December 2021, pp. 5692-5705.
IEEE DOI 2112
Cognition, Task analysis, Correlation, Media, Feature extraction, Visualization, Image recognition, Entailment recognition, visual-textual reasoning BibRef

Fize, J.[Jacques], Moncla, L.[Ludovic], Martins, B.[Bruno],
Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link 2112
Using context to know which of the same named locations is meant. BibRef

Cardoso, A.B.[Ana Bárbara], Martins, B.[Bruno], Estima, J.[Jacinto],
A Novel Deep Learning Approach Using Contextual Embeddings for Toponym Resolution,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Chen, X.S.[Xu-Song], Lei, C.Y.[Chen-Yi], Liu, D.[Dong], Wang, G.X.[Guo-Xin], Tang, H.H.[Hai-Hong], Zha, Z.J.[Zheng-Jun], Li, H.Q.[Hou-Qiang],
E-Commerce Storytelling Recommendation Using Attentional Domain-Transfer Network and Adversarial Pre-Training,
MultMed(24), 2022, pp. 506-518.
IEEE DOI 2202
Feature extraction, Training, Testing, Task analysis, Streaming media, Predictive models, storytelling recommendation BibRef

Wang, Z.Y.[Zi-Yang], Wei, W.[Wei], Mao, X.L.[Xian-Ling], Guo, G.B.[Gui-Bing], Zhou, P.[Pan], Jiang, S.[Sheng],
User-based network embedding for opinion spammer detection,
PR(125), 2022, pp. 108512.
Elsevier DOI 2203
Spam detection, Collective spammer, Network embedding, Signed network BibRef

Singh, P.[Parvinder], Sharma, B.[Bhawna], Kaur, J.[Jasvinder],
An anti-phishing model based on similarity measurement,
IJCVR(12), No. 2, 2022, pp. 141-155.
DOI Link 2203
BibRef

Jiang, T.T.[Ting-Ting], Bu, C.Y.[Chen-Yang], Zhu, Y.[Yi], Wu, X.D.[Xin-Dong],
Combining embedding-based and symbol-based methods for entity alignment,
PR(124), 2022, pp. 108433.
Elsevier DOI 2203
Judge whether entities refer to the same object in the real world. Entity alignment, Knowledge graph embedding, String Similarity BibRef

Ma, T.H.[Ting-Huai], Rong, H.[Huan], Hao, Y.S.[Yong-Sheng], Cao, J.[Jie], Tian, Y.[Yuan], Al-Rodhaan, M.[Mznah],
A Novel Sentiment Polarity Detection Framework for Chinese,
AffCom(13), No. 1, January 2022, pp. 60-74.
IEEE DOI 2203
Feature extraction, Vocabulary, Twitter, Sentiment analysis, Task analysis, Information science, Indexes, natural language processing BibRef

Ahmed, U.[Usman], Lin, J.C.W.[Jerry Chun-Wei], Srivastava, G.[Gautam],
Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health,
PRL(157), 2022, pp. 135-143.
Elsevier DOI 2205
Internet-delivered interventions, Word sense identification, Text clustering, Adaptive treatments, NLP BibRef

Peer, D.[David], Stabinger, S.[Sebastian], Engl, S.[Stefan], Rodríguez-Sánchez, A.[Antonio],
Greedy-layer pruning: Speeding up transformer models for natural language processing,
PRL(157), 2022, pp. 76-82.
Elsevier DOI 2205
Natural language processing, Transformer models, Pruning, Knwoledge distillation BibRef

Zhang, Z.S.[Zhuo-Sheng], Wu, Y.W.[Yu-Wei], Zhou, J.[Junru], Duan, S.F.[Su-Feng], Zhao, H.[Hai], Wang, R.[Rui],
SG-Net: Syntax Guided Transformer for Language Representation,
PAMI(44), No. 6, June 2022, pp. 3285-3299.
IEEE DOI 2205
Syntactics, Task analysis, Bit error rate, Feature extraction, Context modeling, Linguistics, Knowledge discovery, machine translation BibRef

Huang, M.R.[Ming-Rui], Fan, X.T.[Xiang-Tao], Jian, H.D.[Hong-Deng], Zhang, H.Y.[Hong-Yue], Guo, L.Y.[Li-Ying], Di, L.P.[Li-Ping],
Bibliometric Analysis of OGC Specifications between 1994 and 2020 Based on Web of Science (WoS),
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Bunker, J.[Justin], Curtis, K.[Kristal], Girolami, M.[Mark], Sriharsha, R.[Ram],
A mixture modeling approach for clustering log files with coreset and user feedback,
PRL(156), 2022, pp. 74-80.
Elsevier DOI 2205
Event log clustering, Coresets, Data mining, Topic models, Variational Bayes BibRef

Pyne, S.[Stephanie], Castron, M.[Melissa], Parish, A.[Annita], Farrell, P.[Peter], Johnston, S.[Shawn],
Mapping for Awareness of Indigenous Stories,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Pantraki, E.[Evangelia], Tsingalis, I.[Ioannis], Kotropoulos, C.[Constantine],
Cross-lingual transfer learning: A PARAFAC2 approach,
PRL(159), 2022, pp. 167-173.
Elsevier DOI 2206
PARAFAC2, Cross-lingual transfer learning, Cross-lingual document classification, Language processing BibRef

He, J.X.[Jia-Xuan], Hu, H.F.[Hai-Feng],
Language Reinforced Superposition Multimodal Fusion for Sentiment Analysis,
SPLetters(29), 2022, pp. 1347-1351.
IEEE DOI 2206
Bit error rate, Transformers, Feature extraction, Data mining, Acoustics, Fuses, Visualization, sentiment analysis BibRef

Wei, C.W.[Cheng-Wei], Wang, B.[Bin], Kuo, C.C.J.[C.C. Jay],
Task-specific dependency-based word embedding methods,
PRL(159), 2022, pp. 174-180.
Elsevier DOI 2206
Natural language processing, Word embedding, Dependency parsing, Pointwise mutual information, Text classification BibRef

Jain, D.K.[Deepak Kumar], Kumar, A.[Akshi], Sangwan, S.R.[Saurabh Raj],
TANA: The amalgam neural architecture for sarcasm detection in indian indigenous language combining LSTM and SVM with word-emoji embeddings,
PRL(160), 2022, pp. 11-18.
Elsevier DOI 2208
Deep Learning, Sarcasm, LSTM, SVM, Hindi BibRef

Song, T.[Tianbao], Sun, J.B.[Jing-Bo], Liu, X.[Xin], Song, J.[Jihua], Peng, W.M.[Wei-Ming],
Topic-word-constrained sentence generation with variational autoencoder,
PRL(160), 2022, pp. 148-154.
Elsevier DOI 2208
Natural language generation, Variational autoencoder, Constrained sentence generation BibRef

Egorova, E.[Ekaterina], Vydana, H.K.[Hari Krishna], Burget, L.[Lukáš], Cernocký, J.H.[Jan Honza],
Spelling-Aware Word-Based End-to-End ASR,
SPLetters(29), 2022, pp. 1729-1733.
IEEE DOI 2208
Training, Vocabulary, Task analysis, Decoding, Predictive models, Training data, Recurrent neural networks, ASR, end-to-end, OOV BibRef

Toledano-López, O.G.[Orlando Grabiel], Madera, J.[Julio], González, H.[Hector], Simón-Cuevas, A.[Alfredo],
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization,
PRL(160), 2022, pp. 105-111.
Elsevier DOI 2208
Estimation of distribution algorithms, Convolutional neural network, Text categorization BibRef

Firdaus, M.[Mauajama], Chauhan, H.[Hardik], Ekbal, A.[Asif], Bhattacharyya, P.[Pushpak],
EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System,
AffCom(13), No. 3, July 2022, pp. 1555-1566.
IEEE DOI 2209
Visualization, Task analysis, Artificial intelligence, TV, Buildings, History, Generative adversarial networks, Conversational AI, multimodality BibRef

Li, Y.M.[Ying-Ming], Cui, B.Y.[Bai-Yun], Zhang, Z.F.[Zhong-Fei],
Efficient Relational Sentence Ordering Network,
PAMI(44), No. 10, October 2022, pp. 6169-6183.
IEEE DOI 2209
Hidden Markov models, Bit error rate, Task analysis, Coherence, Computational modeling, Predictive models, Decoding, pointer network BibRef

Huang, M.H.[Ming-Hui], Xie, H.R.[Hao-Ran], Rao, Y.[Yanghui], Liu, Y.W.[Yu-Wei], Poon, L.K.M.[Leonard K. M.], Wang, F.L.[Fu Lee],
Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis,
AffCom(13), No. 3, July 2022, pp. 1337-1348.
IEEE DOI 2209
Sentiment analysis, Analytical models, Neural networks, Supervised learning, Feature extraction, Task analysis, attention mechanism BibRef

Balz, T.[Timo],
Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Li, B.[Bing], Nong, X.W.[Xiu-Wen],
Automatically classifying non-functional requirements using deep neural network,
PR(132), 2022, pp. 108948.
Elsevier DOI 2209
Non-functional requirements classification, BERT, N-gram, Multi-sample dropout BibRef

Trisedya, B.D.[Bayu Distiawan], Qi, J.Z.[Jian-Zhong], Wang, W.[Wei], Zhang, R.[Rui],
GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases,
PAMI(44), No. 11, November 2022, pp. 7521-7533.
IEEE DOI 2210
Knowledge based systems, Aggregates, Decoding, Transformers, Data models, Neural networks, Internet, knowledge base BibRef

Parameshachari, B.D., Rak, T.[Tomasz], de Silva, L.C.[Liyanage Chandratilak],
Computational linguistics processing in indigenous language,
PRL(163), 2022, pp. 180-181.
Elsevier DOI 2212
BibRef

Tao, L.F.[Liu-Feng], Xie, Z.[Zhong], Xu, D.[Dexin], Ma, K.[Kai], Qiu, Q.J.[Qin-Jun], Pan, S.Y.[Sheng-Yong], Huang, B.[Bo],
Geographic Named Entity Recognition by Employing Natural Language Processing and an Improved BERT Model,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Zhao, T.T.[Ting-Ting], Li, G.X.[Gui-Xi], Song, Y.J.[Ya-Jing], Wang, Y.[Yuan], Chen, Y.[Yarui], Yang, J.C.[Ju-Cheng],
A multi-scenario text generation method based on meta reinforcement learning,
PRL(165), 2023, pp. 47-54.
Elsevier DOI 2301
Text generation, Natural language processing, Reinforcement learning, Meta-reinforcement learning, Multi-scenario BibRef

Rashid, M.A.[Mohammad Amin], Amirkhani, H.[Hossein],
Improving edit-based unsupervised sentence simplification using fine-tuned BERT,
PRL(166), 2023, pp. 112-118.
Elsevier DOI 2302
Unsupervised sentence simplification, Masked language modeling, Domain adaptation, BERT, Natural language processing BibRef

Ali, M.R.[Mohammad Rafayet], Sen, T.[Taylan], Kane, B.[Benjamin], Bose, S.[Shagun], Carroll, T.M.[Thomas M.], Epstein, R.[Ronald], Schubert, L.[Lenhart], Hoque, E.[Ehsan],
Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education,
AffCom(14), No. 1, January 2023, pp. 223-235.
IEEE DOI 2303
Medical services, Prognostics and health management, Training, Cancer, Trajectory, History, Affective computing, Virtual agent, palliative care BibRef

Abdelnour, J.[Jérôme], Rouat, J.[Jean], Salvi, G.[Giampiero],
NAAQA: A Neural Architecture for Acoustic Question Answering,
PAMI(45), No. 4, April 2023, pp. 4997-5009.
IEEE DOI 2303
Visualization, Acoustics, Task analysis, Question answering (information retrieval), Training, Cognition, auditory scene analysis BibRef

Li, Z.C.[Zu-Chao], Zhang, Z.S.[Zhuo-Sheng], Zhao, H.[Hai], Wang, R.[Rui], Chen, K.[Kehai], Utiyama, M.[Masao], Sumita, E.[Eiichiro],
Text Compression-Aided Transformer Encoding,
PAMI(44), No. 7, July 2022, pp. 3840-3857.
IEEE DOI 2206
Task analysis, Encoding, Context modeling, Computational modeling, Machine translation, Bit error rate, Training, machine reading comprehension BibRef

Pavan, M.C.[Matheus Camasmie], dos Santos, V.G.[Vitor Garcia], Lan, A.G.J.[Alex Gwo Jen], Martins, J.T.[João Trevisan], dos Santos, W.R.[Wesley Ramos], Deutsch, C.[Caio], da Costa, P.B.[Pablo Botton], Hsieh, F.C.[Fernando Chiu], Paraboni, I.[Ivandré],
Morality Classification in Natural Language Text,
AffCom(14), No. 1, January 2023, pp. 857-863.
IEEE DOI 2303
Ethics, Task analysis, Twitter, Sentiment analysis, Computational modeling, Dictionaries, MFT BibRef

Seghier, M.L.[Mohamed L.],
Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language,
IJIST(33), No. 3, 2023, pp. 773-775.
DOI Link 2305
BibRef

Bedi, M.[Manjot], Kumar, S.[Shivani], Akhtar, M.S.[Md Shad], Chakraborty, T.[Tanmoy],
Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations,
AffCom(14), No. 2, April 2023, pp. 1363-1375.
IEEE DOI 2306
Task analysis, Visualization, Semantics, Context modeling, Acoustics, Switches, Planning, Sarcasm detection, humor classification, multi-modality BibRef

Alhuzali, H.[Hassan], Ananiadou, S.[Sophia],
Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variations,
AffCom(14), No. 2, April 2023, pp. 1297-1307.
IEEE DOI 2306
Emotion recognition, Training, Task analysis, Natural language processing, Convolutional neural networks, variant triplet centre loss BibRef

Prado-Osco, L.[Lucas], Lopes-de Lemos, E.[Eduardo], Nunes-Gonçalves, W.[Wesley], Marques-Ramos, A.P.[Ana Paula], Marcato Junior, J.[José],
The Potential of Visual ChatGPT for Remote Sensing,
RS(15), No. 13, 2023, pp. 3232.
DOI Link 2307
BibRef

Rahul, V.S.[Vaddadi Sai], Tejas, M., Prasanth, N.N.[N. Narayanan], Raja, S.P.,
Early Success Prediction of Indian Movies Using Subtitles: A Document Vector Approach,
IJIG(23), No. 4 2023, pp. 2350030.
DOI Link 2308
BibRef

Koulali, R.[Rim], Koulali, M.A.[Mohammed-Amine],
Feature Selection as a Hedonic Coalition Formation Game for Arabic Topic Detection,
PRL(172), 2023, pp. 137-143.
Elsevier DOI 2309
Feature selection, Arabic topic detection, Coalitional game theory, Hedonic coalitional game formation, Natural language processing BibRef

Rashid, J.[Junaid], Kim, J.[Jungeun], Hussain, A.[Amir], Naseem, U.[Usman],
WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text,
PRL(172), 2023, pp. 158-164.
Elsevier DOI 2309
Topi modeling, Short text, Classification, Topic coherence BibRef

Zhang, Y.Y.[Yuan-Yuan], Zou, C.C.[Chang-Chun], Peng, C.[Cheng], Lan, X.X.[Xi-Xi], Zhang, H.J.[Hong-Jie],
Geophysics in Antarctic Research: A Bibliometric Analysis,
RS(15), No. 16, 2023, pp. 3928.
DOI Link 2309
BibRef

Xing, B.[Bowen], Tsang, I.W.[Ivor W.],
Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding,
PAMI(45), No. 11, November 2023, pp. 13170-13184.
IEEE DOI 2310
BibRef

Aakur, S.N.[Sathyanarayanan N.], Sarkar, S.[Sudeep],
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory,
PAMI(45), No. 11, November 2023, pp. 13185-13202.
IEEE DOI 2310
BibRef

Gong, G.Q.[Guo-Qiang], Zhu, L.C.[Lin-Chao], Mu, Y.D.[Ya-Dong],
Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding,
MultMed(25), 2023, pp. 7402-7414.
IEEE DOI 2311
BibRef

Sahu, G.A.[Geeta Abakash], Hudnurkar, M.[Manoj],
Sarcasm Detection: A Review, Synthesis and Future Research Agenda,
IJIG(23), No. 6 2023, pp. 2350061.
DOI Link 2312
BibRef

Ji, C.Q.[Chang-Qing], Wang, L.[Liyong], Qin, J.[Jing], Kang, X.[Xin], Wang, Z.[Zumin],
Capturing natural position relationships: A neural differential equation approach,
PRL(178), 2024, pp. 14-20.
Elsevier DOI 2402
Transformer, Position encoding, Sequence model, Neural differential equation BibRef

Vilar, J.M.[Juan Miguel],
A categorical interpretation of state merging algorithms for DFA inference,
PR(150), 2024, pp. 110326.
Elsevier DOI 2403
Grammatical inference, DFA, Category theory, RPNI, EDSM BibRef

Joseph, S.[Samuel], Priya, S.B.[S. Bhagavathi], Poorvaja, R., Kumaran, M.S.[M. Santhosh], Shivaraj, S., Jeyanth, V., Shivesh, P.R.,
IoT Empowered AI: Transforming Object Recognition and NLP Summarization with Generative AI,
ICCVMI23(1-6)
IEEE DOI 2403
Solid modeling, Home appliances, Power demand, Optical character recognition, Education, Cameras, GenAl BibRef

Liu, D.[Dan],
Design Information Extraction and Visual Representation based on Artificial Intelligence Natural Language Processing Techniques,
CVIDL23(154-158)
IEEE DOI 2403
Industries, Visualization, Semantics, Information retrieval, Feature extraction, Natural language processing, User experience, BERT Baseline BibRef

Li, B.[Boyu], Zuo, K.J.[Kuang-Ji], Xiao, H.D.[Hong-De],
Exploring Wordle- Based on Improved Machine Learning Models,
CVIDL23(441-445)
IEEE DOI 2403
Training, Uncertainty, Social networking (online), Neural networks, Games, Predictive models, Prediction algorithms, K-means BibRef

Ma, D.[Ding], Wu, X.Q.[Xiang-Qian],
Tracking by Natural Language Specification with Long Short-term Context Decoupling,
ICCV23(13966-13975)
IEEE DOI 2401
BibRef

Seff, A.[Ari], Cera, B.[Brian], Chen, D.[Dian], Ng, M.[Mason], Zhou, A.[Aurick], Nayakanti, N.[Nigamaa], Refaat, K.S.[Khaled S.], Al-Rfou, R.[Rami], Sapp, B.[Benjamin],
MotionLM: Multi-Agent Motion Forecasting as Language Modeling,
ICCV23(8545-8556)
IEEE DOI 2401
BibRef

Zhang, L.[Letian], Zhai, X.T.[Xiao-Tong], Zhao, Z.K.[Zhong-Kai], Wen, X.[Xin], Zhao, B.C.[Bing-Chen],
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models,
VLAR23(4631-4635)
IEEE DOI 2401
BibRef

Goel, A.[Arushi], Fernando, B.[Basura], Keller, F.[Frank], Bilen, H.[Hakan],
Who are you referring to? Coreference resolution in image narrations,
ICCV23(15201-15212)
IEEE DOI 2401
BibRef

Ng, E.[Evonne], Subramanian, S.[Sanjay], Klein, D.[Dan], Kanazawa, A.[Angjoo], Darrell, T.J.[Trevor J.], Ginosar, S.[Shiry],
Can Language Models Learn to Listen?,
ICCV23(10049-10059)
IEEE DOI 2401
BibRef

Ferro, S.[Sara], Pasquariello, D.[Debora], Pelillo, M.[Marcello], Traviglia, A.[Arianna],
The Specchieri Marven Dataset: An Abbreviation-Rich Dataset in Venetian Idiom,
CIAP23(II:527-539).
Springer DOI 2312
BibRef

dos Santos, N.R.[Nícolas Roque], Minatel, D.[Diego], Valejo, A.D.B.[Alan Demétrius Baria], de Andrade Lopes, A.[Alneu],
Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks,
CIARP23(I:589-604).
Springer DOI 2312
BibRef

Berlanga, R.[Rafael], Soriano, M.[Mario],
Explaining Semantic Text Similarity in Knowledge Graphs,
CIARP23(I:526-539).
Springer DOI 2312
BibRef

Corradi, L.[Lorenzo], Manenti, A.[Alessandro], del Bonifro, F.[Francesca], Setti, F.[Francesco], del Sorbo, D.[Dario],
A Deep Natural Language Inference Predictor Without Language-specific Training Data,
CIAP23(II:168-181).
Springer DOI 2312
BibRef

Burmani, N.[Nabil], Alami, H.[Hamza], Lafkiar, S.[Said], Zouitni, M.[Mohamed], Taleb, M.[Mohammed], Nahnahi, N.E.[Noureddine En],
Graph based method for Arabic text summarization,
ISCV22(1-8)
IEEE DOI 2208
Measurement, Deep learning, Coherence, Natural language processing, Intelligent systems, TF-IDF BibRef

El Idrissi, B.[Bouchra], Tetou, C.[Chadia], Doumi, K.[Karim],
On The Formalization of The TOGAF Content MetaModel Using Ontologies,
ISCV22(1-6)
IEEE DOI 2208
Computational modeling, Semantics, Prototypes, Ontologies, Knowledge discovery, Complexity theory, Stakeholders, semantic web BibRef

Moltisanti, D.[Davide], Keller, F.[Frank], Bilen, H.[Hakan], Sevilla-Lara, L.[Laura],
Learning Action Changes by Measuring Verb-Adverb Textual Relationships,
CVPR23(23110-23118)
IEEE DOI 2309
BibRef

Janaki, K., Arulprakasam, R., Paramasivan, M.[Meenakshi], Dare, V.R.[V. Rajkumar],
Algebraic Properties of Parikh q-Matrices on Two-Dimensional Words,
IWCIA22(171-188).
Springer DOI 2301
BibRef

Wallis, P.[Phillip], Song, X.[Xubo],
Efficient Fine-Tuning of Deep Neural Networks with Effective Parameter Allocation,
ICIP22(3510-3514)
IEEE DOI 2211
Deep learning, Computational modeling, Neural networks, Memory management, Transformers, Natural language processing BibRef

Omar, S.[Salehah], Bakar, J.A.[Juhaida Abu], Nadzir, M.M.[Maslinda Mohd], Harun, N.H.[Nor Hazlyna], Yusoff, N.[Nooraini],
Malay lexical simplification model for non-native speaker,
ISCV22(1-6)
IEEE DOI 2208
Analytical models, Vocabulary, Databases, Computational modeling, Morphology, Machine learning, text analysis BibRef

Zouitni, M.[Mohamed], Hamza, A.[Alami], Lafkiar, S.[Said], Burmani, N.[Nabil], Taleb, M.[Mohammed], En-Nahnahi, N.[Noureddine],
Machine Learning Based Methods for Arabic Duplicate Question Detection,
ISCV22(1-6)
IEEE DOI 2208
Deep learning, Support vector machines, Learning systems, Computational modeling, User experience, Arabic natural language processing BibRef

Amarouche, S.[Sylia], Mostefai, S.[Sabrina], Amirouche, F.[Fatiha], Talbi, S.[Said],
New approach of smoothing to extend language model in Lucene,
ISCV22(1-7)
IEEE DOI 2208
Java, Smoothing methods, Computational modeling, Search engines, Intelligent systems, Indexing, Lucene BibRef

Zhang, L.[Lei], Zhao, X.M.[Xiao-Ming], Song, X.Q.[Xue-Qiang], Fang, Y.W.[Yu-Wei], Li, D.[Dong], Wang, H.Z.[Hai-Zhou],
A Novel Chinese Sarcasm Detection Model Based on Retrospective Reader,
MMMod22(II:267-278).
Springer DOI 2203
BibRef

Neekhara, P.[Paarth], Hussain, S.[Shehzeen], Du, J.L.[Jing-Long], Dubnov, S.[Shlomo], Koushanfar, F.[Farinaz], McAuley, J.[Julian],
Cross-modal Adversarial Reprogramming,
WACV22(2898-2906)
IEEE DOI 2202
Repurpose image classification networks for natural language. Training, Computational modeling, Neural networks, Neural circuits, Network architecture, Natural language processing, Security, Semi- and Un-supervised Learning BibRef

Wang, R.[Renshen], Fujii, Y.[Yasuhisa], Popat, A.C.[Ashok C.],
Post-OCR Paragraph Recognition by Graph Convolutional Networks,
WACV22(2533-2542)
IEEE DOI 2202
Adaptation models, Text recognition, Convolution, Computational modeling, Image edge detection, Layout, Document Analysis Deep Learning -> Graph Neural Networks BibRef

Shah, V.[Vipul], Udmale, S.S.[Sandeep S.], Sambhe, V.[Vijay], Bhole, A.[Amey],
A Deep Hybrid Approach for Hate Speech Analysis,
CAIP21(I:424-433).
Springer DOI 2112
BibRef

González, M.C.[Meliza Contreras], Vidal, M.T.[Mireya Tovar], de Ita, G.,
Inferential Rules for Identifying Answers in TOEFL Texts,
MCPR21(13-22).
Springer DOI 2108
BibRef

Xu, J.J.[Jing-Jing], Duffy, B.M.[Brendan M.], Duffy, V.G.[Vincent G.],
Data Mining in Systematic Reviews: A Bibliometric Analysis of Game-Based Learning and Distance Learning,
DHM21(I:343-354).
Springer DOI 2108
BibRef

Liu, Y.[Yu], Cao, Y.Q.[Ya-Qin], Ding, Y.[Yi], Zhang, Y.[Yun],
A Bibliometric Analysis of Intelligent Agent Researches During 2010-2020 Based on VOS Viewer,
DHM21(II:208-219).
Springer DOI 2108
BibRef

Laparle, S.[Schuyler],
Tracking Discourse Topics in Co-speech Gesture,
DHM21(I:233-249).
Springer DOI 2108
BibRef

Mordido, G.[Gonçalo], Niedermeier, J.[Julian], Meinel, C.[Christoph],
Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic,
WACV21(2012-2021)
IEEE DOI 2106
Measurement, Fuzzy logic, Correlation, Sensitivity, Stability analysis, Topology, Proposals BibRef

Vascon, S.[Sebastiano], Aslan, S.[Sinem], Bigaglia, G.[Gianluca], Giudice, L.[Lorenzo], Pelillo, M.[Marcello],
Transductive Visual Verb Sense Disambiguation,
WACV21(3049-3058)
IEEE DOI 2106
Visualization, Semisupervised learning, Linguistics, Data models, Cognition BibRef

Kraus, M.[Matthias], Seldschopf, P.[Philip], Minker, W.[Wolfgang],
Towards the Development of a Trustworthy Chatbot for Mental Health Applications,
MMMod21(II:354-366).
Springer DOI 2106
BibRef

Kieu, B.T.[Binh Thanh], Unanue, I.J.[Inigo Jauregi], Pham, S.B.[Son Bao], Phan, H.X.[Hieu Xuan], Piccardi, M.[Massimo],
Learning Neural Textual Representations for Citation Recommendation,
ICPR21(4145-4152)
IEEE DOI 2105
Measurement, Training, Benchmark testing, Encoding, Task analysis BibRef

Cheong, M.[Marc], Alfano, M.[Mark],
To Honor our Heroes: Analysis of the Obituaries of Australians Killed in Action in WWI and WWII,
ICPR21(6965-6972)
IEEE DOI 2105
Obituaries, Text analysis, Tracking, Shape, Europe, Africa, Natural language processing, Applications of document analysis, wellbeing BibRef

Choi, H.J.[Hyun-Jin], Kim, J.[Judong], Joe, S.[Seongho], Gwon, Y.J.[Young-June],
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks,
ICPR21(5482-5487)
IEEE DOI 2105
Computational modeling, Bit error rate, Semantics, Natural languages, Benchmark testing, Pattern recognition BibRef

Wang, Y.[Yue], Xu, Z.[Zhuo], Bai, L.[Lu], Wan, Y.[Yao], Cui, L.X.[Li-Xin], Zhao, Q.[Qian], Hancock, E.R.[Edwin R.], Yu, P.S.[Philip S.],
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks,
ICPR21(278-285)
IEEE DOI 2105
Training, Knowledge engineering, Natural language processing, Data mining, Labeling, Task analysis, Joining processes, heterogeneous information network BibRef

Xint, Y.[Yuan], Xu, L.[Linli], Guo, J.L.[Jun-Liang], Li, J.[Jiquan], Sheng, X.[Xin], Zhou, Y.Y.[Yuan-Yuan],
Label Incorporated Graph Neural Networks for Text Classification,
ICPR21(8892-8898)
IEEE DOI 2105
Text categorization, Semantics, Benchmark testing, Data structures, Graph neural networks, Natural language processing BibRef

Eum, S.[Sungmin], Kwon, H.S.[Hee-Sung],
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing,
ICPR21(1384-1391)
IEEE DOI 2105
Visualization, Semantics, Pattern recognition, Testing BibRef

Saini, N.[Naveen], Kumar, S.[Sushil], Saha, S.[Sriparna], Bhattacharyya, P.[Pushpak],
Scientific Document Summarization using Citation Context and Multi-objective Optimization,
ICPR21(4290-4295)
IEEE DOI 2105
Publishing, Current measurement, Semantics, Blogs, Evolutionary computation, Linear programming, Computational linguistics BibRef

Wang, B.[Bin], Chen, F.X.[Fen-Xiao], Wang, Y.C.[Yun-Cheng], Kuo, C.C.J.[C.C. Jay],
Efficient Sentence Embedding via Semantic Subspace Analysis,
ICPR21(119-125)
IEEE DOI 2105
Computational modeling, Semantics, Buildings, Pattern recognition, Task analysis, Computational complexity BibRef

Lee, H.[Hyunjae], Yoon, J.[Jaewoong], Hwang, B.G.[Bong-Gyu], Joe, S.[Seongho], Min, S.J.[Seung-Jai], Gwon, Y.J.[Young-June],
KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding,
ICPR21(5551-5557)
IEEE DOI 2105
Training, Bit error rate, Natural languages, Switches, Predictive models, Encoding, Pattern recognition BibRef

Khan, H.[Hanif], Asghar, M.U.[Muhammad Usama], Asghar, M.Z.[Muhammad Zubair], Srivastava, G.[Gautam], Maddikunta, P.K.R.[Praveen Kumar Reddy], Gadekallu, T.R.[Thippa Reddy],
Fake Review Classification Using Supervised Machine Learning,
HCAU20(269-288).
Springer DOI 2103
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Papapicco, C.[Concetta],
Artificial Kindness: The Italian Case of Google Mini Recognition Patterns,
MPRSS20(714-727).
Springer DOI 2103
Implenenting kindness in AI systems. BibRef

Gallo, I.[Ignazio], Nawaz, S.[Shah], Landro, N.[Nicola], la Grassa, R.[Riccardo],
Visual Word Embedding for Text Classification,
MMDLCA20(339-352).
Springer DOI 2103
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Qi, Y.Y.[Yuan-Yuan], Zhang, J.Y.[Jia-Yue], Xu, W.R.[Wei-Ran], Guo, J.[Jun], Zhang, H.G.[Hong-Gang],
Learning Graph Topology Representation with Attention Networks,
VCIP20(1-4)
IEEE DOI 2102
Bit error rate, Topology, Convolution, Adaptation models, Task analysis, Symmetric matrices, Graph Attention Networks BibRef

Yang, S.,
Deep Automated Text Scoring Model Based on Memory Network,
CVIDL20(480-484)
IEEE DOI 2102
computer aided instruction, natural language processing, neural nets, text analysis, neural network, weighted facts, Natural Language Processing BibRef

Yaxue, Q.,
Convolutional Neural Networks for Literature Retrieval,
CVIDL20(393-397)
IEEE DOI 2102
convolutional neural nets, feature extraction, information retrieval, learning (artificial intelligence), hash code BibRef

Wang, F., Sun, G.,
Research on the Metaphorical Features of Computer Language in English from the Perspective of Cognition,
CVIDL20(278-280)
IEEE DOI 2102
computer networks, Internet, natural languages, programming languages, metaphorical features, computer language, Cognition BibRef

Li, Y., Shi, G.,
Global-Local Feature Fusion Mechanism for Sentiment Classification,
CVIDL20(332-337)
IEEE DOI 2102
data mining, feature extraction, natural language processing, pattern classification, text analysis, capsule network BibRef

Nassr, Z., Sael, N., Benabbou, F.,
Preprocessing Arabic Dialect for Sentiment Mining: State of Art,
SmartCityApp20(323-330).
DOI Link 2012
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Iftikhar, S., Jabeen, F., Nasir, H., Fida, S.,
WordNet and Wiki Based Approach for Finding Polysemy Tags in a Tag Set,
ISCV20(1-8)
IEEE DOI 2011
dictionaries, information retrieval, Internet, meta data, natural language processing, search engines, text analysis, Ambiguity BibRef

Kachaoui, J., Belangour, A.,
Local Ontologies Merging in Data Ponds,
ISCV20(1-7)
IEEE DOI 2011
knowledge representation, ontologies (artificial intelligence), open systems, semantic networks, knowledge representation, Data Ponds BibRef

Kaddari, Z., Mellah, Y., Berrich, J., Bouchentouf, T., Belkasmi, M.G.,
Applying the T5 language model and duration units normalization to address temporal common sense understanding on the MCTACO dataset,
ISCV20(1-4)
IEEE DOI 2011
natural language processing, text analysis, temporal common sense understanding, MCTACO BibRef

Saili, C.E., Fatimi, S., Alaoui, L.,
Frequent Itemsets Methods for Text Clustering,
ISCV20(1-5)
IEEE DOI 2011
data mining, hypermedia, information retrieval, pattern clustering, text analysis, document clustering, document browsing, mtdc BibRef

El Ansari, O.[Oumayma], Jihad, Z.[Zahir], Hajar, M.[Mousannif],
A Dataset to Support Sexist Content Detection in Arabic Text,
ICISP20(130-137).
Springer DOI 2009
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Yang, Z., Yao, Y., Tu, S.,
Exploiting Sparse Topics Mining for Temporal Event Summarization,
ICIVC20(322-331)
IEEE DOI 2009
Semantics, Earthquakes, Task analysis, Tsunami, Sparse matrices, Search engines, Redundancy, Temporal Summarization, Sparse Topics, Matrix Factorization BibRef

Jarquín-Vásquez, H.J.[Horacio Jesús], Montes-y-Gómez, M.[Manuel], Villaseñor-Pineda, L.[Luis],
Not All Swear Words Are Used Equal: Attention over Word n-grams for Abusive Language Identification,
MCPR20(282-292).
Springer DOI 2007
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Gornishka, I.[Iva], Rudinac, S.[Stevan], Worring, M.[Marcel],
Interactive Search and Exploration in Discussion Forums Using Multimodal Embeddings,
MMMod20(II:388-399).
Springer DOI 2003
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Mena, J.[José], Brando, A.[Axel], Pujol, O.[Oriol], Vitrià, J.[Jordi],
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis,
IbPRIA19(I:29-40).
Springer DOI 1910
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Toselli, A.H.[Alejandro H.], Romero, V.[Verónica], Vidal, E.[Enrique], Sánchez, J.A.[Joan Andreu], Seaward, L.[Louise], Schofield, P.[Philip],
A Study of English Neologisms Through Large-Scale Probabilistic Indexing of Bentham's Manuscripts,
NTIAP19(92-102).
Springer DOI 1909
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Abbas, M.[Mourad], Lichouri, M.[Mohamed], Zeggada, A.[Ahmed],
Classification of Arabic Poems: from the 5th to the 15th Century,
NTIAP19(179-186).
Springer DOI 1909
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Soler-Company, J.[Juan], Wanner, L.[Leo],
Automatic Classification and Linguistic Analysis of Extremist Online Material,
MMMod19(II:577-582).
Springer DOI 1901
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Lin, J.Z.[Jin-Zhong], Pang, J.[Junbiao], Su, L.[Li], Liu, Y.[Yugui], Huang, Q.M.[Qing-Ming],
Accelerating Topic Detection on Web for a Large-Scale Data Set via Stochastic Poisson Deconvolution,
MMMod19(I:590-602).
Springer DOI 1901
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Su, Y., Huang, Y., Kuo, C.C.J.,
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis,
ICPR18(585-590)
IEEE DOI 1812
Principal component analysis, Support vector machines, Training, Dimensionality reduction, Task analysis, Complexity theory, Tools BibRef

Zhao, Z.Y.[Zi-Yi], Pugdeethosapol, K.[Krittaphat], Lin, S.[Sheng], Li, Z.[Zhe], Ding, C.W.[Cai-Wen], Wang, Y.Z.[Yan-Zhi], Qiu, Q.R.[Qin-Ru],
Learning Topics Using Semantic Locality,
ICPR18(3710-3715)
IEEE DOI 1812
Semantics, Dictionaries, Feature extraction, Training, Analytical models, Motion pictures, Frequency measurement BibRef

Chen, X., Bai, L., Wang, D., Shi, J.,
Improve Word Mover's Distance with Part-of-Speech Tagging,
ICPR18(3722-3728)
IEEE DOI 1812
Syntactics, Semantics, Measurement, Tagging, Task analysis, Neural networks, Rivers BibRef

Yuan, H., Chen, X., Li, Y., Yang, Z., Liu, W.,
Detecting Phishing Websites and Targets Based on URLs and Webpage Links,
ICPR18(3669-3674)
IEEE DOI 1812
Phishing, Feature extraction, Uniform resource locators, Search engines, Machine learning, Protocols, phishing detection, Deep Forest BibRef

Tamper, M.[Minna], Leskinen, P.[Petri], Apajalahti, K.[Kasper], Hyvönen, E.[Eero],
Using Biographical Texts as Linked Data for Prosopographical Research and Applications,
EuroMed18(I:125-137).
Springer DOI 1811
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Qiu, F.Z.[Fang-Zhe], Stifter, D.[David], Bauer, B.[Bernhard], Lash, E.[Elliott], Ji, T.[Tianbo],
Chronologicon Hibernicum: A Probabilistic Chronological Framework for Dating Early Irish Language Developments and Literature,
EuroMed18(I:731-740).
Springer DOI 1811
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Dzisko, M.[Malwina], Lewandowska, A.[Anna], Samborska-Owczarek, A.[Anna],
Does the Research Question Structure Impact the Attention Model? User Study Experiment,
ICCVG18(487-498).
Springer DOI 1810
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Wrzeciono, P.[Piotr], Karwowski, W.[Waldemar],
Pattern Recognition Method for Classification of Agricultural Scientific Papers in Polish,
ICCVG18(499-511).
Springer DOI 1810
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Farrah, S., El Manssouri, H., Ziyati, E.H., Ouzzif, M.,
An hybrid approach to improve part of speech tagging system,
ISCV18(1-6)
IEEE DOI 1807
grammars, natural language processing, neural nets, pattern classification, text analysis, Arabic language, arabic BibRef

Tovar, M.[Mireya], Flores, G.[Gerardo], Reyes-Ortiz, J.A.[José A.], Contreras, M.[Meliza],
Validation of Semantic Relation of Synonymy in Domain Ontologies Using Lexico-Syntactic Patterns and Acronyms,
MCPR18(199-208).
Springer DOI 1807
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Vargas-Ocampo, E.[Edgar], Roman-Rangel, E.[Edgar], Hermosillo-Valadez, J.[Jorge],
Learning Word and Sentence Embeddings Using a Generative Convolutional Network,
MCPR18(135-144).
Springer DOI 1807
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Wang, X.[Xiao], Zhang, Y.Y.[Yuan-Yuan], Yu, S.N.[Sheng-Nan], Liu, X.[Xiwei], Wang, F.Y.[Fei-Yue],
Computerized Adaptive English Ability Assessment Based on Deep Learning,
PSIVTWS17(158-171).
Springer DOI 1806
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Basiri, M.E., Kabiri, A.,
Sentence-level sentiment analysis in Persian,
IPRIA17(84-89)
IEEE DOI 1712
Bayes methods, data mining, learning (artificial intelligence), sentiment analysis, CNRC, Persian languages, Persian lexicon, SA, sentence-level dataset BibRef

Rahman, N.[Nazreena], Borah, B.[Bhogeswar],
A Method for Semantic Relatedness Based Query Focused Text Summarization,
PReMI17(387-393).
Springer DOI 1711
BibRef

Pramanick, M.[Malay], Mitra, P.[Pabitra],
A Metaphor Detection Approach Using Cosine Similarity,
PReMI17(358-364).
Springer DOI 1711
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Yu, L.C.[Li-Cheng], Tan, H.[Hao], Bansal, M.[Mohit], Berg, T.L.[Tamara L.],
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions,
CVPR17(3521-3529)
IEEE DOI 1711
Atmospheric modeling, Computational modeling, Object recognition, Semantics, Training, Visualization BibRef

Zeroual, I., Lakhouaja, A.,
Arabic information retrieval: Stemming or lemmatization?,
ISCV17(1-6)
IEEE DOI 1710
information retrieval, natural language processing, Arabic Information Retrieval, Arabic documents, Arabic language, Surface treatment, Arabic language, Lemmatization, Morphological analysis, Stemming BibRef

Yan, G.J.[Gong-Jun], Shi, H.[Hui], Chong, D.[Dazhi], He, W.[Wu],
Mining e-commerce satisfaction sentiment through a bilingual model,
ICIVC17(1029-1033)
IEEE DOI 1708
Analytical models, Sentiment analysis, Systematics, E-commerce, bilingual model, business intelligence, recommend system, sentiment analysis, text mining BibRef