Advances in Neural Information Processing Systems 5, [NIPS Conference]
Similarity between words computed by spreading activation on an English dictionary
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Contextual word similarity and estimation from sparse data
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Lexical disambiguation using simulated annealing
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Selective sampling for example-based word sense disambiguation
Computational Linguistics
An automatic extraction of key paragraphs based on context dependency
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Word sense disambiguation in untagged text based on term weight learning
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
To what extent does case contribute to verb sense disambiguation?
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Discriminating among word senses using McQuitty's similarity analysis
NAACLstudent '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Proceedings of the HLT-NAACL 2003 student research workshop - Volume 3
Word vectors and two kinds of similarity
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Synonym extraction using a semantic distance on a dictionary
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Comparing distributional and mirror translation similarities for extracting synonyms
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Heuristic methods for reducing errors of geographic named entities learned by bootstrapping
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Domain and function: a dual-space model of semantic relations and compositions
Journal of Artificial Intelligence Research
| Hi-index | 0.00 |
A comparison was made of vectors derived by using ordinary co-occurrence statistics from large text corpora and of vectors derived by measuring the interword distances in dictionary definitions. The precision of word sense disambiguation by using co-occurrence vectors from the 1987 Wall Street Journal (20M total words) was higher than that by using distance vectors from the Collins English Dictionary (60K head words + 1.6M definition words). However, other experimental results suggest that distance vectors contain some different semantic information from co-occurrence vectors.