SynWSD: A Meaning Attraction Models, Unsupervised Word Sense Disambiguation Algorithm

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SynWSD: A Meaning Attraction Models, Unsupervised Word Sense Disambiguation Algorithm

SynWSD

ID:

SynWSD

SynWSD is a unsupervised WSD algorithm that was the best in its class at the SemEval 2007 competition. It uses lexical attraction models to derive meaning attraction models with which it assigns the best WordNet sense-wise interpretation of the input sentence.

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DistributionAvailability

Available - Restricted Use

Licence

MS Commons - BY - NC - SA

Restrictions: Academic - Non Commercial Use, Inform Licensor, No Redistribution, Share Alike

User Nature: Academic, Commercial

Attribution Details: Please cite this paper: "Radu Ion and Dan Tufiş. Meaning Affinity Models. In Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval-2007, pages 282–287, Prague, Czech Republic, June 23–24 2007. ACL 2007."

Distribution Access/Medium: Accessible Through Interface, Downloadable

Licensors:

Research Institute for Artificial Intelligence, Romanian Academy

Distribution rights holders:

Research Institute for Artificial Intelligence, Romanian Academy

IPR Holder

Radu Ion

Contact Person

Radu Ion

toolService

Tool

Language Dependent

Input

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: English, Romanian

Character encoding: US - ASCII

Annotation type: Lemmatization, Morphosyntactic Annotation - Pos Tagging, Syntacticosemantic Annotation - Links

Annotation format: XML

Tagset: MultextEast

Segmentation level: Sentence, Word

Output

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: English, Romanian

Character encoding: US - ASCII

Annotation type: Semantic Annotation - Word Senses

Annotation format: XML

Tagset: WordNet version 2.0

Conformance to standards best practices: Word Net

Operation

Operating system: Os - Independent

Evaluation

Evaluated: True

Evaluation type: Glass Box

Evaluation measure: Automatic, Human

Evaluation details: In the SemEval 2007 WSD Competition

Metadata

Created: 06/12/2012

Last Updated: 06/12/2012

Source: METANET4U

3.0

Metadata Language: English (en)

Metadata Creator

Radu Ion

Documentation

Document Type: Manual

Radu Ion, SynWSD: A Meaning Attraction Models, Unsupervised Word Sense Disambiguation Algorithm, http://ws.racai.ro:9...

Keywords: word sense disambiguation, meaning attraction models

Document Language: English

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