The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Proceedings of the 11th international conference on World Wide Web
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
The role of domain information in Word Sense Disambiguation
Natural Language Engineering
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Extending metadata definitions by automatically extracting and organizing glossary definitions
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Domain kernels for word sense disambiguation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Estimating class priors in domain adaptation for word sense disambiguation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Domain-specific sense distributions and predominant sense acquisition
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Unsupervised acquisition of predominant word senses
Computational Linguistics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
KnowNet: building a large net of knowledge from the web
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Personalizing PageRank for word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Supervised domain adaption for WSD
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Word domain disambiguation via word sense disambiguation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
International Journal of Human-Computer Studies
Knowledge-based WSD on specific domains: performing better than generic supervised WSD
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Extracting glosses to disambiguate word senses
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Quantifying the limits and success of extractive summarization systems across domains
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Inducing domain-specific semantic class taggers from (almost) nothing
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Learning word-class lattices for definition and hypernym extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
All words domain adapted WSD: finding a middle ground between supervision and unsupervision
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
SemEval-2010 task 17: All-words word sense disambiguation on a specific domain
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
CFILT: Resource conscious approaches for all-words domain specific WSD
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Discriminative instance weighting for domain adaptation in statistical machine translation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 20th ACM international conference on Information and knowledge management
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We present a new minimally-supervised framework for performing domain-driven Word Sense Disambiguation (WSD). Glossaries for several domains are iteratively acquired from the Web by means of a bootstrapping technique. The acquired glosses are then used as the sense inventory for fully-unsupervised domain WSD. Our experiments, on new and gold-standard datasets, show that our wide-coverage framework enables high-performance results on dozens of domains at a coarse and fine-grained level.