Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Class-based probability estimation using a semantic hierarchy
Computational Linguistics
Verb class disambiguation using informative priors
Computational Linguistics
Evaluating and combining approaches to selectional preference acquisition
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences
Computational Linguistics
Clustering Syntactic Positions with Similar Semantic Requirements
Computational Linguistics
Automated induction of sense in context
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A cognitive model for the representation and acquisition of verb selectional preferences
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
No sentence is too confusing to ignore
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Semi-supervised WSD in selectional preferences with semantic redundancy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A flexible, corpus-driven model of regular and inverse selectional preferences
Computational Linguistics
Multimedia content preference using the moving average technique
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Statistical inference method of user preference on broadcasting content
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Dynamically personalized web service system to mobile devices
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Investigating the semantics of frame elements
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
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This paper presents a Bayesian model for unsupervised learning of verb selectional preferences. For each verb the model creates a Bayesian network whose architecture is determined by the lexical hicrarchy of Wordnet and whose parameters are estimated from a list of verb-object pairs found from a corpus. "Explaining away", a well-known property of Bayesian networks, helps the model deal in a natural fashion with word sense ambiguity in the training data. On a word sense disambiguation test our model performed better than other state of the art systems for unsupervised learning of selectional preferences. Computational complexity problems, ways of improving this approach and methods for implementing "explaining away" in other graphical frameworks are discussed.