Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Word-sense disambiguation using decomposable models
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Instance based learning with automatic feature selection applied to word sense disambiguation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
HLT '93 Proceedings of the workshop on Human Language Technology
English lexical sample task description
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Learner: a system for acquiring commonsense knowledge by analogy
Proceedings of the 2nd international conference on Knowledge capture
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Introduction to the special issue on evaluating word sense disambiguation systems
Natural Language Engineering
Teaching Machines about Everyday Life
BT Technology Journal
Proceedings of the 3rd international conference on Knowledge capture
Collecting paraphrase corpora from volunteer contributors
Proceedings of the 3rd international conference on Knowledge capture
Consistent Validation of Manual and Automatic Sense Annotations with the Aid of Semantic Graphs
Computational Linguistics
Automatic acquisition of English topic signatures based on a second language
ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
Meaningful clustering of senses helps boost word sense disambiguation performance
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
An empirical study of the behavior of active learning for word sense disambiguation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Valido: a visual tool for validating sense annotations
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A structural approach to the automatic adjudication of word sense disagreements
Natural Language Engineering
Choosing sense distinctions for WSD: psycholinguistic evidence
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
OntoNotes: corpus cleanup of mistaken agreement using word sense disambiguation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Word domain disambiguation via word sense disambiguation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Scaling up word sense disambiguation via parallel texts
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
A fully unsupervised word sense disambiguation method using dependency knowledge
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
SemEval-2007 task 07: coarse-grained English all-words task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2007 task 11: English lexical sample task via English-Chinese parallel text
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2007 task 17: English lexical sample, SRL and all words
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
PNNL: a supervised maximum entropy approach to word sense disambiguation
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Unsupervised translation disambiguation based on maximum web bilingual relatedness: web as lexicon
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Annotation and verification of sense pools in OntoNotes
Information Processing and Management: an International Journal
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
Knowledge-rich Word Sense Disambiguation rivaling supervised systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Extracting sense-disambiguated example sentences from parallel corpora
WDE '09 Proceedings of the 1st Workshop on Definition Extraction
Word sense disambiguation methods
Programming and Computing Software
Taxonomy induction based on a collaboratively built knowledge repository
Artificial Intelligence
Towards automatic acquisition of a fully sense tagged corpus for persian
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Evaluation of clustering algorithms for word sense disambiguation
International Journal of Data Analysis Techniques and Strategies
Empirical methods for the study of denotation in nominalizations in spanish
Computational Linguistics
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Open Mind Word Expert is an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at http://teach-computers.org. We expect the system to yield a large volume of high-quality training data at a much lower cost than the traditional method of hiring lexicographers. We thus propose a Senseval-3 lexical sample activity where the training data is collected via Open Mind Word Expert. If successful, the collection process can be extended to create the definitive corpus of word sense information.