Mining Software Entities in Scientific Literature-Reference-Cited by-同舟云学术

Mining Software Entities in Scientific Literature

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Lopez Patrice¹,Du Caifan²,Cohoon Johanna²,Ram Karthik³,Howison James²

Affiliation:

1. science-miner, Naves, France

2. University of Texas at Austin, Austin, TX, USA

3. Berkeley Institute for Data Science, Berkeley, CA, USA

Funder

Alfred P. Sloan Foundation

Gordon and Betty Moore Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3481936

Reference34 articles.

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2. Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. arXiv:1903.10676 [cs.CL] Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. arXiv:1903.10676 [cs.CL]

3. Fast and Space-Efficient Entity Linking for Queries

4. Building Software, Building Community: Lessons from the rOpenSci Project

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