Generating Topic Pages for Scientific Concepts Using Scientific Publications

Hosein Azarbonyad; Zubair Afzal; George Tsatsaronis

doi:10.1007/978-3-031-28238-6_23

Generating Topic Pages for Scientific Concepts Using Scientific Publications

Hosein Azarbonyad, Zubair Afzal, George Tsatsaronis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, we describe Topic Pages, an inventory of scientific concepts and information around them extracted from a large collection of scientific books and journals. The main aim of Topic Pages is to provide all the necessary information to the readers to understand scientific concepts they come across while reading scholarly content in any scientific domain. Topic Pages are a collection of automatically generated information pages using NLP and ML, each corresponding to a scientific concept. Each page contains three pieces of information: a definition, related concepts, and the most relevant snippets, all extracted from scientific peer-reviewed publications. In this paper, we discuss the details of different components to extract each of these elements. The collection of pages in production contains over 360, 000 Topic Pages across 20 different scientific domains with an average of 23 million unique visits per month, constituting it a popular source for scientific information.

Original language	English
Title of host publication	Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings
Editors	Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Annalina Caputo, Udo Kruschwitz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	341-349
Number of pages	9
ISBN (Print)	9783031282379
DOIs	https://doi.org/10.1007/978-3-031-28238-6_23
State	Published - 2023
Externally published	Yes
Event	45th European Conference on Information Retrieval, ECIR 2023 - Dublin, Ireland Duration: Apr 2 2023 → Apr 6 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13981 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	45th European Conference on Information Retrieval, ECIR 2023
Country/Territory	Ireland
City	Dublin
Period	04/2/23 → 04/6/23

Keywords

Definition extraction
Multi-document summarization
Scientific document processing

Access to Document

10.1007/978-3-031-28238-6_23

Cite this

Azarbonyad, H., Afzal, Z., & Tsatsaronis, G. (2023). Generating Topic Pages for Scientific Concepts Using Scientific Publications. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, A. Caputo, & U. Kruschwitz (Eds.), Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings (pp. 341-349). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13981 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28238-6_23

Azarbonyad, Hosein ; Afzal, Zubair ; Tsatsaronis, George. / Generating Topic Pages for Scientific Concepts Using Scientific Publications. Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. editor / Jaap Kamps ; Lorraine Goeuriot ; Fabio Crestani ; Maria Maistro ; Hideo Joho ; Brian Davis ; Cathal Gurrin ; Annalina Caputo ; Udo Kruschwitz. Springer Science and Business Media Deutschland GmbH, 2023. pp. 341-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Azarbonyad, H, Afzal, Z & Tsatsaronis, G 2023, Generating Topic Pages for Scientific Concepts Using Scientific Publications. in J Kamps, L Goeuriot, F Crestani, M Maistro, H Joho, B Davis, C Gurrin, A Caputo & U Kruschwitz (eds), Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13981 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 341-349, 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, 04/2/23. https://doi.org/10.1007/978-3-031-28238-6_23

Generating Topic Pages for Scientific Concepts Using Scientific Publications. / Azarbonyad, Hosein; Afzal, Zubair ; Tsatsaronis, George.
Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. ed. / Jaap Kamps; Lorraine Goeuriot; Fabio Crestani; Maria Maistro; Hideo Joho; Brian Davis; Cathal Gurrin; Annalina Caputo; Udo Kruschwitz. Springer Science and Business Media Deutschland GmbH, 2023. p. 341-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13981 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Afzal, Zubair

AU - Tsatsaronis, George

PY - 2023

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N2 - In this paper, we describe Topic Pages, an inventory of scientific concepts and information around them extracted from a large collection of scientific books and journals. The main aim of Topic Pages is to provide all the necessary information to the readers to understand scientific concepts they come across while reading scholarly content in any scientific domain. Topic Pages are a collection of automatically generated information pages using NLP and ML, each corresponding to a scientific concept. Each page contains three pieces of information: a definition, related concepts, and the most relevant snippets, all extracted from scientific peer-reviewed publications. In this paper, we discuss the details of different components to extract each of these elements. The collection of pages in production contains over 360, 000 Topic Pages across 20 different scientific domains with an average of 23 million unique visits per month, constituting it a popular source for scientific information.

AB - In this paper, we describe Topic Pages, an inventory of scientific concepts and information around them extracted from a large collection of scientific books and journals. The main aim of Topic Pages is to provide all the necessary information to the readers to understand scientific concepts they come across while reading scholarly content in any scientific domain. Topic Pages are a collection of automatically generated information pages using NLP and ML, each corresponding to a scientific concept. Each page contains three pieces of information: a definition, related concepts, and the most relevant snippets, all extracted from scientific peer-reviewed publications. In this paper, we discuss the details of different components to extract each of these elements. The collection of pages in production contains over 360, 000 Topic Pages across 20 different scientific domains with an average of 23 million unique visits per month, constituting it a popular source for scientific information.

KW - Definition extraction

KW - Multi-document summarization

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M3 - Contribución a la conferencia

AN - SCOPUS:85150991658

SN - 9783031282379

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings

A2 - Kamps, Jaap

A2 - Goeuriot, Lorraine

A2 - Crestani, Fabio

A2 - Maistro, Maria

A2 - Joho, Hideo

A2 - Davis, Brian

A2 - Gurrin, Cathal

A2 - Caputo, Annalina

A2 - Kruschwitz, Udo

PB - Springer Science and Business Media Deutschland GmbH

T2 - 45th European Conference on Information Retrieval, ECIR 2023

Y2 - 2 April 2023 through 6 April 2023

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Azarbonyad H, Afzal Z , Tsatsaronis G. Generating Topic Pages for Scientific Concepts Using Scientific Publications. In Kamps J, Goeuriot L, Crestani F, Maistro M, Joho H, Davis B, Gurrin C, Caputo A, Kruschwitz U, editors, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 341-349. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-28238-6_23