Automatic labeling of semantic roles
Computational Linguistics
Digraph analysis of dictionary preposition definitions
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Empirical acquisition of conceptual distinctions via dictionary definitions
Empirical acquisition of conceptual distinctions via dictionary definitions
Preposition senses: generalized disambiguation model
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Exploiting semantic role resources for preposition disambiguation
Computational Linguistics
Semantic interpretation of prepositions for NLP applications
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
SemEval-2007 task 06: word-sense disambiguation of prepositions
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
IRST-BP: preposition disambiguation based on chain clarifying relationships contexts
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
The role of nominalizations in prepositional phrase attachment in GENIA
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
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In The Preposition Project (TPP), 13 prepositions have now been analyzed and considerable data made available. These prepositions, among the most common words in English, contain 211 senses. By analyzing the coverage of these senses, it is shown that TPP provides potentially greater breadth and depth than other inventories of the range of semantic roles. Specific inheritance mechanisms are developed within the preposition sense inventory and shown to be viable and provide a basis for the rationalization of the range of preposition meaning. In addition, this rationalization can be used for developing a data-driven mapping of a semantic role hierarchy. Based on these findings and methodology, the broad structure of a WordNet-like representation of preposition meaning, with self-contained disambiguation tests, is outlined.