Construction of the Literature Graph in Semantic Scholar
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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, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers). 2018.
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Scholarly knowledge platforms increasingly rely on explicit entities and relations to support comparison, retrieval, and reuse.
“Scholarly knowledge platforms increasingly rely on explicit entities and relations to support comparison, retrieval, and reuse [3][4][5].”
From Diagnosing the limits of large language models for structured scientific evidence extraction (2026) · cites this paper as [4]
The Introduction (page unavailable) describes Semantic Scholar’s literature graph as structured information extracted from scientific documents and says it can improve academic search and answer queries. The entity–entity relations section also describes explicit relations in that graph. The paper supports retrieval through one platform, but does not establish that scholarly platforms increasingly rely on this approach or that it supports comparison and reuse. (LLM, conf=0.84)
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Research works printed but not linked: 19
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- Authors
- Ammar, W., Groeneveld, D., Bhagavatula, C., Beltagy, I., Crawford, M., Downey, D., Dunkelberger, J., Elgohary, A., Feldman, S., Ha, V., Kinney, R., Kohlmeier, S., Lo, K., Murray, T., Ooi, H.-H., Peters, M., Power, J., Skjonsberg, S., Wang, L., Willhelm, C., Yuan, Z., Zuylen, M., & oren
- Affiliations
- Northwestern University (US)
- Corresponding author
- Ammar, Waleed
- ORCID
- Venue
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
- Published
- 2018
- Pages
- 84-91
- OpenAlex
- W2801930304
- Cited by
- 358
- References
- 0
- Citations by year
- 2026: 22 · 2025: 23 · 2024: 31 · 2023: 65 · 2022: 62 · 2021: 68 · 2020: 54 · 2019: 27 · 2018: 6
- FWCI
- 114.43
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- Semantic Scholar, citation networks, bibliographic metadata
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