Conference Proceedings

Inter-sentential Relations in Information Extraction Corpora

Kumutha Swampillai, Mark Stevenson, N Calzolari (ed.), K Choukri (ed.), B Maegaard (ed.), J Mariani (ed.), J Odijk (ed.), S Piperidis (ed.), M Rosner (ed.), D Tapias (ed.)

LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA | Published : 2010

Abstract

In natural language relationships between entities can asserted within a single sentence or over many sentences in a document. Many information extraction systems are constrained to extracting binary relations that are asserted within a single sentence (single-sentence relations) and this limits the proportion of relations they can extract since those expressed across multiple sentences (inter-sentential relations) are not considered. The analysis in this paper focuses on finding the distribution of inter-sentential and single-sentence relations in two corpora used for the evaluation of information extraction systems: the MUC6 corpus and the ACE corpus from 2003. In order to carry out this a..

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University of Melbourne Researchers