A Summarization System for Scientific Documents

被引：0

作者：

Erera, Shai ^{[1
]}

Shmueli-Scheuer, Michal ^{[1
]}

Feigenblat, Guy ^{[1
]}

Nakash, Ora Peled ^{[2
]}

Boni, Odellia ^{[1
]}

Roitman, Haggai ^{[1
]}

Cohen, Doron ^{[1
]}

Weiner, Bar ^{[1
]}

Mass, Yosi ^{[1
]}

Rivlin, Or ^{[1
]}

Lev, Guy ^{[1
]}

Jerbi, Achiya ^{[1
]}

Herzig, Jonathan ^{[1
]}

Hou, Yufang ^{[1
]}

Jochim, Charles ^{[1
]}

Gleize, Martin ^{[1
]}

Bonin, Francesca ^{[1
]}

Ganguly, Debasis ^{[1
]}

Konopnicki, David ^{[1
]}

机构：

[1] IBM Res, Yorktown Hts, NY 10598 USA

[2] IBM Cloud, Yorktown Hts, NY USA

来源：

2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019): PROCEEDINGS OF SYSTEM DEMONSTRATIONS | 2019年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on these findings, we built a system that retrieves and summarizes scientific documents for a given information need, either in form of a free-text query or by choosing categorized values such as scientific tasks, datasets and more. Our system ingested 270,000 papers, and its summarization module aims to generate concise yet detailed summaries. We validated our approach with human experts.

引用

页码：211 / 216

页数：6

共 50 条

[1] SciBERTSUM: Extractive Summarization for Scientific Documents
Sefid, Athar
Giles, C. Lee
[J]. DOCUMENT ANALYSIS SYSTEMS, DAS 2022, 2022, 13237 : 688 - 701
[2] TLDR: Extreme Summarization of Scientific Documents
Cachola, Isabel
Lo, Kyle
Cohan, Arman
Weld, Daniel S.
[J]. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2020, 2020, : 4766 - 4777
[3] Summarization of scientific documents by detecting common facts in citations
Chen, Jingqiang
Zhuge, Hai
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2014, 32 : 246 - 252
[4] SATS: simplification aware text summarization of scientific documents
Zaman, Farooq
Kamiran, Faisal
Shardlow, Matthew
Saeed-Ul Hassan, Saeed-Ul
Karim, Asim
Aljohani, Naif Radi
[J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
[5] Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Dong, Yue
Mircea, Andrei
Cheung, Jackie C. K.
[J]. 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021), 2021, : 1089 - 1102
[6] Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Meng, Rui
Thaker, Khushboo
Zhang, Lei
Dong, Yue
Yuan, Xingdi
Wang, Tong
He, Daqing
[J]. ACL-IJCNLP 2021: THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 2, 2021, : 1080 - 1089
[7] Bringing structure into summaries: A Faceted summarization dataset for long scientific documents
Meng, Rui
Thaker, Khushboo
Zhang, Lei
Dong, Yue
Yuan, Xingdi
Wang, Tong
He, Daqing
[J]. arXiv, 2021,
[8] System of automatic scientific article summarization in Turkish
Kemaloglu Alagoz, Nazan
Kucuksille, Ecir Ugur
[J]. PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2024, 30 (04): : 470 - 481
[9] TSGVi: a graph-based summarization system for Vietnamese documents
Tu-Anh Nguyen-Hoang
Khai Nguyen
Quang-Vinh Tran
[J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2012, 3 (04) : 305 - 313
[10] TSGVi: a graph-based summarization system for Vietnamese documents
Tu-Anh Nguyen-Hoang
Khai Nguyen
Quang-Vinh Tran
[J]. Journal of Ambient Intelligence and Humanized Computing, 2012, 3 : 305 - 313

← 1 2 3 4 5 →