@inproceedings{ammar-etal-2018-construction,
title = "Construction of the Literature Graph in Semantic Scholar",
author = "Ammar, Waleed and
Groeneveld, Dirk and
Bhagavatula, Chandra and
Beltagy, Iz and
Crawford, Miles and
Downey, Doug and
Dunkelberger, Jason and
Elgohary, Ahmed and
Feldman, Sergey and
Ha, Vu and
Kinney, Rodney and
Kohlmeier, Sebastian and
Lo, Kyle and
Murray, Tyler and
Ooi, Hsu-Han and
Peters, Matthew and
Power, Joanna and
Skjonsberg, Sam and
Wang, Lucy Lu and
Wilhelm, Chris and
Yuan, Zheng and
van Zuylen, Madeleine and
Etzioni, Oren",
editor = "Bangalore, Srinivas and
Chu-Carroll, Jennifer and
Li, Yunyao",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)",
month = jun,
year = "2018",
address = "New Orleans - Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-3011",
doi = "10.18653/v1/N18-3011",
pages = "84--91",
abstract = "We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting literature graph consists of more than 280M nodes, representing papers, authors, entities and various interactions between them (e.g., authorships, citations, entity mentions). We reduce literature graph construction into familiar NLP tasks (e.g., entity extraction and linking), point out research challenges due to differences from standard formulations of these tasks, and report empirical results for each task. The methods described in this paper are used to enable semantic features in \url{www.semanticscholar.org}.",
}
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<abstract>We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting literature graph consists of more than 280M nodes, representing papers, authors, entities and various interactions between them (e.g., authorships, citations, entity mentions). We reduce literature graph construction into familiar NLP tasks (e.g., entity extraction and linking), point out research challenges due to differences from standard formulations of these tasks, and report empirical results for each task. The methods described in this paper are used to enable semantic features in www.semanticscholar.org.</abstract>
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%0 Conference Proceedings
%T Construction of the Literature Graph in Semantic Scholar
%A Ammar, Waleed
%A Groeneveld, Dirk
%A Bhagavatula, Chandra
%A Beltagy, Iz
%A Crawford, Miles
%A Downey, Doug
%A Dunkelberger, Jason
%A Elgohary, Ahmed
%A Feldman, Sergey
%A Ha, Vu
%A Kinney, Rodney
%A Kohlmeier, Sebastian
%A Lo, Kyle
%A Murray, Tyler
%A Ooi, Hsu-Han
%A Peters, Matthew
%A Power, Joanna
%A Skjonsberg, Sam
%A Wang, Lucy Lu
%A Wilhelm, Chris
%A Yuan, Zheng
%A van Zuylen, Madeleine
%A Etzioni, Oren
%Y Bangalore, Srinivas
%Y Chu-Carroll, Jennifer
%Y Li, Yunyao
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans - Louisiana
%F ammar-etal-2018-construction
%X We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting literature graph consists of more than 280M nodes, representing papers, authors, entities and various interactions between them (e.g., authorships, citations, entity mentions). We reduce literature graph construction into familiar NLP tasks (e.g., entity extraction and linking), point out research challenges due to differences from standard formulations of these tasks, and report empirical results for each task. The methods described in this paper are used to enable semantic features in www.semanticscholar.org.
%R 10.18653/v1/N18-3011
%U https://aclanthology.org/N18-3011
%U https://doi.org/10.18653/v1/N18-3011
%P 84-91
Markdown (Informal)
[Construction of the Literature Graph in Semantic Scholar](https://aclanthology.org/N18-3011) (Ammar et al., NAACL 2018)
ACL
- Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, et al.. 2018. Construction of the Literature Graph in Semantic Scholar. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers), pages 84–91, New Orleans - Louisiana. Association for Computational Linguistics.