Daniel King
Daniel King
MosaicML, Allen Institute for AI (former)
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ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
M Neumann, D King, I Beltagy, W Ammar
arXiv preprint arXiv:1902.07669, 2019
Pretrained Language Models for Sequential Sentence Classification
A Cohan, I Beltagy, D King, B Dalvi, DS Weld
arXiv preprint arXiv:1909.04054, 2019
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation
S Subramanian, D King, D Downey, S Feldman
2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 170-179, 2021
High-Precision Extraction of Emerging Concepts from Scientific Literature
D King, D Downey, DS Weld
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search
D King, Z Shen, N Subramani, DS Weld, I Beltagy, D Downey
arXiv preprint arXiv:2203.08436, 2022
Rich search and discovery for research datasets: Building the next generation of scholarly infrastructure
J Lane, I Mulvany, P Nathan
Sage, 2020
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
SK Murthy, K Lo, D King, C Bhagavatula, B Kuehl, S Johnson, J Borchardt, ...
arXiv preprint arXiv:2205.06982, 2022
Towards personalized descriptions of scientific concepts
SK Murthy, D King, T Hope, D Weld, D Downey
The Fifth Widening Natural Language Processing Workshop at EMNLP, 2021
Infrastructure for rapid open knowledge network development
M Cafarella, M Anderson, I Beltagy, A Cattan, S Chasins, I Dagan, ...
AI Magazine 43 (1), 59-68, 2022
S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications
S Rohatgi, D Downey, D King, S Feldman
Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-5, 2022
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