RACAI: Unsupervised WSD experiments @ SemEval-2, task #17

Authors:
Radu Ion;Dan Ştefãnescu
Affiliations:
Institute for AI, Romanian Academy, Calea Septembrie, Bucharest, Romania;Institute for AI, Romanian Academy, Calea Septembrie, Bucharest, Romania
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

Citing 6
Cited 0

The role of domain information in Word Sense Disambiguation

Natural Language Engineering
Lexical chains for question answering

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
One sense per collocation

HLT '93 Proceedings of the workshop on Human Language Technology
SemEval-2010 task 17: all-words word sense disambiguation on a specific domain

DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Revising the wordnet domains hierarchy: semantics, coverage and balancing

MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources
Unsupervised word sense disambiguation with lexical chains and graph-based context formalization

LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper documents the participation of the Research Institute for Artificial Intelligence of the Romanian Academy (RACAI) to the Task 17 -- All-words Word Sense Disambiguation on a Specific Domain, of the SemEval-2 competition. We describe three unsupervised WSD systems that make extensive use of the Princeton WordNet (WN) structure and WordNet Domains in order to perform the disambiguation. The best of them has been ranked the 12th by the task organizers out of 29 judged runs.