research-article

Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)

Authors:

Muthu Kumar Chandrasekaran,

Kokil JaidkaAuthors Info & Claims

ACM SIGIR Forum, Volume 52, Issue 2

Pages 105 - 110

https://doi.org/10.1145/3308774.3308792

Published: 17 January 2019 Publication History

Abstract

The 3rd joint BIRNDL workshop was held at the 41st ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) in Ann Arbor, USA. BIRNDL 2018 intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated three paper sessions and the 4th edition of the CL-SciSumm Shared Task.

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G. Baruah and M. Kolla. Klick Labs at CL-SciSumm 2018. In Proceedings of the 3nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL2018), Ann Arbor, Michigan, July 2018.

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Cited By

Chandrasekaran MMayr P(2021)Report on the 4th Joint Workshop on Bibliometric-Enhanced Information Retrieval and Natural Language Processing for Digital Libraries at SIGIR 2019ACM SIGIR Forum10.1145/3458553.345855453:2(3-10)Online publication date: 23-Mar-2021
https://dl.acm.org/doi/10.1145/3458553.3458554
AbuRa’ed ASaggion HShvets ABravo À(2020)Automatic related work section generation: experiments in scientific document abstractingScientometrics10.1007/s11192-020-03630-2125:3(3159-3185)Online publication date: 24-Jul-2020
https://dl.acm.org/doi/10.1007/s11192-020-03630-2
Chandrasekaran MMayr PYasunaga MFreitag DRadev DKan MPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019)Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331650(1441-1443)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331650

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Information & Contributors

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Published In

cover image ACM SIGIR Forum

ACM SIGIR Forum Volume 52, Issue 2

December 2018

177 pages

ISSN:0163-5840

DOI:10.1145/3308774

Editors:
Claudia Hauff
Delft University of Technology. The Netherlands
,
Craig Macdonald
University of Glasgow, Glasgow, UK

Issue’s Table of Contents

Copyright © 2019 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 January 2019

Published in SIGIR Volume 52, Issue 2

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Cited By

Chandrasekaran MMayr P(2021)Report on the 4th Joint Workshop on Bibliometric-Enhanced Information Retrieval and Natural Language Processing for Digital Libraries at SIGIR 2019ACM SIGIR Forum10.1145/3458553.345855453:2(3-10)Online publication date: 23-Mar-2021
https://dl.acm.org/doi/10.1145/3458553.3458554
AbuRa’ed ASaggion HShvets ABravo À(2020)Automatic related work section generation: experiments in scientific document abstractingScientometrics10.1007/s11192-020-03630-2125:3(3159-3185)Online publication date: 24-Jul-2020
https://dl.acm.org/doi/10.1007/s11192-020-03630-2
Chandrasekaran MMayr PYasunaga MFreitag DRadev DKan MPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019)Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331650(1441-1443)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331650

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