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Conference papers

Event-based textual document retrieval by using semantic role labeling and coreference resolution

Chia-Hung Lin 1 Chia-Wei Yen 1 Jen-Shin Hong 1 Samuel Cruz-Lara 2
2 TALARIS - Natural Language Processing: representation, inference and semantics
Inria Nancy - Grand Est, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Conventional keyword-based indexing and retrieval techniques for textual documents lack of precision when a long query string is employed in order to discover documents containing a specific “event”, such as “Einstein discovered relativity”. This paper proposes a framework to resolve such a problem. In our proposal, we apply semantic role labeling and coreference techniques in order to parse each sentence within textual documents into three elements: subject, object and predicates. These elements can subsequently be used for indexing and retrieval. Our primitive evaluation experiments have shown that this promising methodology raises the retrieval precision if we compared it to conventional literal termmatching techniques.
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Contributor : Samuel Cruz-Lara Connect in order to contact the contributor
Submitted on : Wednesday, November 28, 2007 - 10:45:43 AM
Last modification on : Friday, February 4, 2022 - 3:21:38 AM
Long-term archiving on: : Monday, April 12, 2010 - 5:21:54 AM


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  • HAL Id : inria-00192465, version 1



Chia-Hung Lin, Chia-Wei Yen, Jen-Shin Hong, Samuel Cruz-Lara. Event-based textual document retrieval by using semantic role labeling and coreference resolution. IADIS International Conference WWW/Internet 2007, Oct 2007, Vila Real, Portugal. ⟨inria-00192465⟩



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