Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Large-scale information retrieval with latent semantic indexing
Information Sciences: an International Journal
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
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
Preposition semantic classification via Penn Treebank and FrameNet
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Coverage and inheritance in the preposition project
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Extending knowledge and deepening linguistic processing for the question answering system insicht
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
University of hagen at CLEF 2004: indexing and translating concepts for the GIRT task
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Inferring the semantics of temporal prepositions in Italian
SigSem '07 Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions
Simple preposition correspondence: a problem in English to Indian language machine translation
SigSem '07 Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions
Interpretation and normalization of temporal expressions for question answering
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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The proper interpretation of prepositions is an important issue for automatic natural language understanding. We present an approach towards PP interpretation as part of a natural language understanding system which has been successfully employed in various NLP tasks for information retrieval and question answering. Our approach is based on the so-called Multi-Net paradigm, a knowledge representation formalism especially designed for the representation of natural language semantics. The paper describes how the information about the semantic interpretation of PPs is represented in the lexicon and in PP interpretation rules and how this information is used during semantic analysis. Moreover, we report on experiments that evaluate the impact of using this information about PP interpretation on the CLEF question answering task.