WordNet-SenseRelate System

Context:
- It is composed of:
  - AllWords, which assigns a sense to each word in a text,
  - TargetWord, which assigns a sense to a given word
  - WordToSet, which assigns the sense of a word most related to a set of words.
- It is Perl-based.
- It makes use of a WordNet Similarity Measure.
See: WikiRelate System, .

References

http://sourceforge.net/projects/senserelate/
- SenseRelate uses measures of semantic similarity to perform word sense disambiguation. AllWords assigns a sense to each word in a text, TargetWord assigns a sense to a given word, and WordToSet assigns the sense of a word most related to a set of words.
http://sourceforge.net/forum/forum.php?forum_id=910782
- Date: 2009-01-23 05:07 Summary: WordNet-SenseRelate-AllWords-0.13 released! We are pleased to announce the release of WordNet-SenseRelate-AllWords, version 0.13. This package assigns a meaning to all the words in a text based on information found in the lexical database WordNet. This release features improved support for running experiments with the SemCor corpus.
http://search.cpan.org/~sid/WordNet-SenseRelate-TargetWord-0.09/
- System by Siddharth Patwardhan
- based on Banerjee and Pedersen (2002), Patwardhan et al. (2003), and Banerjee and Pedersen (2003).

(Patwardhan et al., 2005) ⇒ Siddharth Patwardhan, Satanjeev Banerjee, and Ted Pedersen. (2005). “SenseRelate::TargetWord A generalized framework for word sense disambiguation.” In: Proceedings of AAAI-05.
- ABSTRACT: Many words in natural language have different meanings when used in different contexts. SenseRelate::TargetWord is a Perl package that disambiguates a target word in context by finding the sense that is most related to its neighbors according to a WordNet::Similarity measure of relatedness.

(Pedersen et al., 2004) ⇒ Ted Pedersen, Siddharth Patwardhan, and Jason Michelizzi. (2004). “WordNet::Similarity - Measuring the Relatedness of Concepts.” In: Proceedings of the Nineteenth National Conference on Artificial Intelligence - Intelligent Systems Demonstration (AAAI-04).

(Patwardhan et al., 2003) ⇒ (2003). Siddharth Patwardhan, Satanjeev Banerjee, and Ted Pedersen. "Using Measures of Semantic Relatedness for Word Sense Disambiguation.” In: Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2003).