Details

Autor(en) / Beteiligte

• AbuRa’ed, Ahmed
• Chiruzzo, Luis
• Saggion, Horacio
• Accuosto, Pablo
• Bravo Serrano, Àlex, 1984

Titel

LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems

Erscheinungsjahr

2017

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Comunicació presentada a: CL-SciSumm 2017, organitzat com a part de The 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) i conjuntament amb The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) In recent years there has been an increasing interest in approaches to scienti c summarization that take advantage of the citations a research paper has received in order to extract its main contributions. In this context, the CL-SciSumm 2017 Shared Task has been proposed to address citation-based information extraction and summarization. In this paper we present several systems to address three of the CL-SciSumm tasks. Notably, unsupervised systems to match citing and cited sentences (Task 1A), a supervised approach to identify the type of information being cited (Task 1B), and a supervised citation-based summarizer (Task 2). This work is supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502) and by the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE).