1 Pekar, V., "Word classification based on combined measures of distributional and semantic similarity" Association for Computational Linguistics 2 : 147-150, 2003
2 Lin, H., "Topic detection from short text: A term-based consensus clustering method" IEEE 1-6, 2016
3 Peat, H. J., "The limitations of term cooccurrence data for query expansion in document retrieval systems" 42 (42): 378-383, 1991
4 Li, C. H., "Text categorization algorithms using semantic approaches, corpus-based thesaurus and WordNet" 39 (39): 765-772, 2012
5 Jo, T., "String vector based AHC as approach to word clustering" Lancaster Centre for Forecasting 133-138, 2016
6 Chen, L., "Statistical relationship determination in automatic thesaurus construction" Association for Computing Machinery 267-268, 2005
7 Dagan, I., "Similarity-based models of word cooccurrence probabilities" 34 (34): 43-69, 1999
8 Lagutina, K., "Sentiment classification of Russian texts using automatically generated thesaurus" FRUCT Oy 217-222, 2018
9 Zazo, A. F., "Reformulation of queries using similarity thesauri" 41 (41): 1163-1173, 2005
10 Xu, J., "Query expansion using local and global document analysis" Association for Computing Machinery 4-11, 1996
1 Pekar, V., "Word classification based on combined measures of distributional and semantic similarity" Association for Computational Linguistics 2 : 147-150, 2003
2 Lin, H., "Topic detection from short text: A term-based consensus clustering method" IEEE 1-6, 2016
3 Peat, H. J., "The limitations of term cooccurrence data for query expansion in document retrieval systems" 42 (42): 378-383, 1991
4 Li, C. H., "Text categorization algorithms using semantic approaches, corpus-based thesaurus and WordNet" 39 (39): 765-772, 2012
5 Jo, T., "String vector based AHC as approach to word clustering" Lancaster Centre for Forecasting 133-138, 2016
6 Chen, L., "Statistical relationship determination in automatic thesaurus construction" Association for Computing Machinery 267-268, 2005
7 Dagan, I., "Similarity-based models of word cooccurrence probabilities" 34 (34): 43-69, 1999
8 Lagutina, K., "Sentiment classification of Russian texts using automatically generated thesaurus" FRUCT Oy 217-222, 2018
9 Zazo, A. F., "Reformulation of queries using similarity thesauri" 41 (41): 1163-1173, 2005
10 Xu, J., "Query expansion using local and global document analysis" Association for Computing Machinery 4-11, 1996
11 Hofmann, T., "Probabilistic latent semantic indexing" Association for Computing Machinery 50-57, 1999
12 Mohsen, G., "On the automatic construction of an Arabic thesaurus" IEEE 243-247, 2018
13 Waltz, D. L., "Massively parallel parsing : A strongly interactive model of natural language interpretation" 9 (9): 51-74, 1985
14 Ravikumar, S., "Mapping the intellectual structure of scientometrics : A co-word analysis of the journal Scientometrics(2005-2010)" 102 (102): 929-955, 2015
15 Mikolov, T., "Linguistic regularities in continuous space word representations" Association for Computational Linguistics 746-751, 2013
16 Lee, D. D., "Learning the parts of objects by non-negative matrix factorization" 401 : 788-791, 1999
17 Blei, D. M., "Latent Dirichlet allocation" 3 : 993-1022, 2003
18 Khasseh, A. A., "Intellectual structure of knowledge in iMetrics : A co-word analysis" 53 (53): 705-720, 2017
19 Deerwester, S., "Indexing by latent semantic analysis" 41 (41): 391-407, 1990
20 Gallant, S., "HNC's MatchPlus System" National Institute of Standards and Technology 107-111, 1992
21 Pennington, J., "GloVe: Global vectors for word representation" Association for Computational Linguistics 1532-1543, 2014
22 Terra, E. L., "Frequency estimates for statistical word similarity measures" Association for Computational Linguistics 1 : 165-172, 2003
23 Griffiths, T. L., "Finding scientific topics" 101 (101): 5228-5235, 2004
24 Toutanova, K., "Feature-rich part-of-speech tagging with a cyclic dependency network" Association for Computational Linguistics 173-180, 2003
25 Kishida, K., "Empirical comparison of external evaluation measures for document clustering by using synthetic data" IPSJ SIG 1-7, 2014
26 Kishida, K., "Double-pass clustering technique for multilingual document collections" 37 (37): 304-321, 2011
27 Kotlerman, L., "Directional distributional similarity for lexical inference" 16 (16): 359-389, 2010
28 Qiu, Y., "Concept based query expansion" Association for Computing Machinery 160-169, 1993
29 Mandala, R., "Combining multiple evidence from different types of thesaurus for query expansion" Association for Computing Machinery 191-197, 1999
30 Zhao, Z., "Cluster-driven model for improved word and text embedding" IOS Press 99-106, 2016
31 Poostchi, H., "Cluster labeling by word embeddings and WordNet's hypernymy" Association for Computational Linguistics 66-70, 2018
32 Xu, H., "Automatic thesaurus construction for spam filtering using revised back propagation neural network" 37 (37): 18-23, 2010
33 Liebeskind, C., "Automatic thesaurus construction for modern Hebrew" European Language Resources Association 1446-1451, 2018
34 Shunmugam, D. A., "An empirical investigation of word clustering techniques for natural language understanding" 6 (6): 2637-2646, 2016
35 Jing, Y., "An association thesaurus for information retrieval" Le Centre de Hautes Etudes Internationales d'Informatique Documentaire 1 : 146-160, 1994
36 Schutze, H., "A cooccurrence-based thesaurus and two applications to information retrieval" 33 (33): 307-318, 1997