Identifying Strategic Information from Scientific Articles through Sentence Classification. - Archive ouverte HAL
Communication Dans Un Congrès Année : 2008

Identifying Strategic Information from Scientific Articles through Sentence Classification.

Résumé

We address here the need to assist users in rapidly accessing the most important or strategic information in the text corpus by identifying sentences carrying specific information. More precisely, we want to identify contribution of authors of scientific papers through a categorization of sentences using rhetorical and lexical cues. We built local grammars to annotate sentences in the corpus according to their rhetorical status: objective, new things, results, findings, hypotheses, conclusion, related_word, future work. The annotation is automatically projected automatically onto two other corpora to test their portability across several domains. The local grammars are implemented in the Unitex system. After sentence categorization, the annotated sentences are clustered and users can navigate the result by accessing specific information types. The results can be used for advanced information retrieval purposes.
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Dates et versions

hal-00635663 , version 1 (25-10-2011)

Identifiants

  • HAL Id : hal-00635663 , version 1

Citer

Fidelia Ibekwe-Sanjuan, Chaomei Chen, Pinho Roberto. Identifying Strategic Information from Scientific Articles through Sentence Classification.. 6th International Conference on Language Resources and Evaluation Conference (LREC-08), May 2008, Marrakesh, Morocco. pp.1518-1522. ⟨hal-00635663⟩
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