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- WordNet® is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressin...WordNet® is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept.
- JWI (the MIT Java Wordnet Interface) is a Java library for interfacing with Wordnet.
- This is a Perl module that implements a variety of semantic similarity and relatedness measures based on information found in the lexical database WordNet....This is a Perl module that implements a variety of semantic similarity and relatedness measures based on information found in the lexical database WordNet.
- SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objec...SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity
- UKB is a collection of programs for performing graph-based Word Sense Disambiguation and lexical similarity/relatedness using a pre-existing knowledge base...UKB is a collection of programs for performing graph-based Word Sense Disambiguation and lexical similarity/relatedness using a pre-existing knowledge base.
- S-Match is an open source Java framework for semantic matching. It contains semantic matching, minimal semantic matching and structure preserving semantic ...S-Match is an open source Java framework for semantic matching. It contains semantic matching, minimal semantic matching and structure preserving semantic matching algorithm implementations.
- The Java WordNet Similarity Library (JWSL)
- Pure Java WordNet Similarity Library (Result Project)
- A Java implementation of WordNet::Similarity - a Perl coded package that allows one to measure, in various ways, the similarity between word senses using t...A Java implementation of WordNet::Similarity - a Perl coded package that allows one to measure, in various ways, the similarity between word senses using the structure of WordNet.
- Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, page 100--108. Los Angeles, California, Association for Computational Linguistics, (June 2010)
- The Semantic Web - ISWC 2008, volume 5318 of Lecture Notes in Computer Science, Springer Berlin / Heidelberg, (2008)
- Faculty of Engineering and Information Technology, School of Information and Communication Technology, Griffith University, Nathan Campus, Brisbane, Australia, Bachelor Honours Thesis, (October 2006)
- Poster+Demo Proceedings of the 6nd International Semantic Web Conference ISWC and the 2nd Asian Semantic Web Conference ASWC, page 13--14. Busan, Korea, (November 2007)
- Proceedings of the 2nd International Workshop on Ontology Matching, 304, page 301--305. http://ceur-ws.org, CEUR Workshop Proceedings, (November 2007)
- Encyclopedia of Language and Linguistics, page 665--670. Oxford, Elsevier, (2005)
- Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, page 171--180. New York, NY, USA, ACM, (1993)
- Proceedings of the workshop on Human Language Technology, page 303--308. Stroudsburg, PA, USA, Association for Computational Linguistics, (1993)
- MIT Press, Cambridge, MA, (1998)
- Computational Linguists 32(1):13--47 (2006)
- Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011, International Joint Conference on Artificial Intelligence, (2011)
- CoRR (1997)
- Statically Based NLP Techniques, page 48-56. (1992)
- MIT Press, Cambridge, MA, (1998)
- ACSC, volume 38 of CRPIT, page 315-322. Australian Computer Society, (2005)
- Research Report, MPI-I-2010-5-007. Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany, (November 2010)
- Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, page 19--27. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
- FOIS, page 285-296. (2001)
- IEEE Intelligent Systems 18(1):22-31 (2003)
- AI Magazine 24(3):13-24 (2003)
