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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2016 Issue 3, Pages 44–47 (Mi iipr292)

Natural language analysis

Query formulation for source retrieval based on named entities and n-grams extraction

I. V. Sochenkova, R. Malulekab

a Institute for Systems Analysis of Russian Academy of Sciences
b Peoples' Friendship University of Russia

Abstract: This paper presents an approach for the source retrieval task using two distinct keyphrase extraction strategies, namely n-grams from chunked text and named entities. The proposed approach was evaluated on TIRA and performed well against other participants of PAN CLEF.

Keywords: source retrieval, named entity extraction, plagiarism detection.

Language: English



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