Papers by Rodney Kinney
S2ORC: The Semantic Scholar Open Research Corpus (2020.acl-main)
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| Challenge: | Academic papers are an increasingly important textual domain for natural language processing (NLP) research. |
| Approach: | They propose to aggregate 81.1M English-language academic papers into a unified source . they hope this resource will facilitate research and development of tools for text mining over academic text. |
| Outcome: | The proposed corpus includes metadata, abstracts, bibliographic references, and structured full text for 8.1M open access papers. |
Construction of the Literature Graph in Semantic Scholar (N18-3)
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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
| Challenge: | Fig. 1 summarizes a scalable system for organizing published scientific literature into a heterogeneous graph . authors describe methods used to enable semantic features in www.semanticscholar.org . |
| Approach: | They describe a scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. |
| Outcome: | The proposed system can be deployed on a scalable platform and report empirical results for each task. |
Ai2 Scholar QA: Organized Literature Synthesis with Attribution (2025.acl-demo)
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Amanpreet Singh, Joseph Chee Chang, Dany Haddad, Aakanksha Naik, Jena D. Hwang, Rodney Kinney, Daniel S Weld, Doug Downey, Sergey Feldman
| Challenge: | Ai2 Scholar QA is a free online scientific question answering application . it uses retrieval-augmented generation to answer complex scientific questions . many of these systems are expensive to use and closed-source . |
| Approach: | They propose a retrieval-augmented generation-based scientific question answering application . it uses a Python package and an interactive web app to make the entire pipeline public . they compare it with other similar question-answering applications . |
| Outcome: | The proposed system outperforms other systems on a recent scientific QA benchmark. |