Skip to Main content Skip to Navigation
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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00192465
Contributor : Samuel Cruz-Lara <>
Submitted on : Wednesday, November 28, 2007 - 10:45:43 AM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Monday, April 12, 2010 - 5:21:54 AM

File

IADIS-event-search-final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00192465, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

240

Files downloads

288