EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
The automated acquisition of topic signatures for text summarization
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Learning class-to-class selectional preferences
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A structural approach to the automatic adjudication of word sense disagreements
Natural Language Engineering
KnowNet: building a large net of knowledge from the web
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using cycles and quasi-cycles to disambiguate dictionary glosses
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
UBC-UMB: combining unsupervised and supervised systems for all-words WSD
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
On the use of automatically acquired examples for all-nouns word sense disambiguation
Journal of Artificial Intelligence Research
KnowNet: a proposal for building highly connected and dense knowledge bases from the web
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
BabelNet: building a very large multilingual semantic network
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Knowledge-rich Word Sense Disambiguation rivaling supervised systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Knowledge-based sense disambiguation (almost) for all structures
Information Systems
Incorporating coreference resolution into word sense disambiguation
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
The CQC algorithm: cycling in graphs to semantically enrich and enhance a bilingual dictionary
Journal of Artificial Intelligence Research
Building instance knowledge network for word sense disambiguation
ACSC '11 Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 113
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This paper presents an empirical evaluation of the quality of publicly available large-scale knowledge resources. The study includes a wide range of manually and automatically derived large-scale knowledge resources. In order to establish a fair and neutral comparison, the quality of each knowledge resource is indirectly evaluated using the same method on a Word Sense Disambiguation task. The evaluation framework selected has been the Senseval-3 English Lexical Sample Task. The study empirically demonstrates that automatically acquired knowledge resources surpass both in terms of precision and recall the knowledge resources derived manually, and that the combination of the knowledge contained in these resources is very close to the most frequent sense classifier. As far as we know, this is the first time that such a quality assessment has been performed showing a clear picture of the current state-of-the-art of publicly available wide coverage semantic resources.