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Искусственный интеллект и принятие решений, 2016, выпуск 3, страницы 44–47
(Mi iipr292)
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Анализ естественного языка
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
Аннотация:
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.
Ключевые слова:
source retrieval, named entity extraction, plagiarism detection.
Образец цитирования:
I. V. Sochenkov, R. Maluleka, “Query formulation for source retrieval based on named entities and n-grams extraction”, Искусственный интеллект и принятие решений, 2016, no. 3, 44–47
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/iipr292 https://www.mathnet.ru/rus/iipr/y2016/i3/p44
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