Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Natural language processing and knowledge representation
Class-based probability estimation using a semantic hierarchy
Computational Linguistics
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
On learning more appropriate Selectional Restrictions
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
From trees to predicate-argument structures
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Extracting and evaluating general world knowledge from the Brown corpus
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
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
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Can we derive general world knowledge from texts?
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Strategies for lifelong knowledge extraction from the web
Proceedings of the 4th international conference on Knowledge capture
Semantic types of some generic relation arguments: detection and evaluation
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Class-driven attribute extraction
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Turning web text and search queries into factual knowledge: hierarchical class attribute extraction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Combining word sense and usage for modeling frame semantics
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Automatic fine-grained semantic classification for domain adaptation
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Open knowledge extraction through compositional language processing
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Large-scale extraction and use of knowledge from text
Proceedings of the fifth international conference on Knowledge capture
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Discovering commonsense entailment rules implicit in sentences
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Generality evaluation of automatically generated knowledge for the japanese conceptnet
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Modelling selectional preferences in a lexical hierarchy
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Reporting bias and knowledge acquisition
Proceedings of the 2013 workshop on Automated knowledge base construction
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Existing work in the extraction of commonsense knowledge from text has been primarily restricted to factoids that serve as statements about what may possibly obtain in the world. We present an approach to deriving stronger, more general claims by abstracting over large sets of factoids. Our goal is to coalesce the observed nominals for a given predicate argument into a few predominant types, obtained as WordNet synsets. The results can be construed as generically quantified sentences restricting the semantic type of an argument position of a predicate.