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pro vyhledávání: '"Subramanian, Shivashankar"'
Autor:
Kinney, Rodney, Anastasiades, Chloe, Authur, Russell, Beltagy, Iz, Bragg, Jonathan, Buraczynski, Alexandra, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Cohan, Arman, Crawford, Miles, Downey, Doug, Dunkelberger, Jason, Etzioni, Oren, Evans, Rob, Feldman, Sergey, Gorney, Joseph, Graham, David, Hu, Fangzhou, Huff, Regan, King, Daniel, Kohlmeier, Sebastian, Kuehl, Bailey, Langan, Michael, Lin, Daniel, Liu, Haokun, Lo, Kyle, Lochner, Jaron, MacMillan, Kelsey, Murray, Tyler, Newell, Chris, Rao, Smita, Rohatgi, Shaurya, Sayre, Paul, Shen, Zejiang, Singh, Amanpreet, Soldaini, Luca, Subramanian, Shivashankar, Tanaka, Amber, Wade, Alex D., Wagner, Linda, Wang, Lucy Lu, Wilhelm, Chris, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Van Zuylen, Madeleine, Weld, Daniel S.
The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data platform and website aimed at accelerating science by helping scholars d
Externí odkaz:
http://arxiv.org/abs/2301.10140
Bias is pervasive in NLP models, motivating the development of automatic debiasing techniques. Evaluation of NLP debiasing methods has largely been limited to binary attributes in isolation, e.g., debiasing with respect to binary gender or race, howe
Externí odkaz:
http://arxiv.org/abs/2109.10441
Class imbalance is a common challenge in many NLP tasks, and has clear connections to bias, in that bias in training data often leads to higher accuracy for majority groups at the expense of minority groups. However there has traditionally been a dis
Externí odkaz:
http://arxiv.org/abs/2109.10444
Publikováno v:
JCDL 2021
Author Name Disambiguation (AND) is the task of resolving which author mentions in a bibliographic database refer to the same real-world person, and is a critical ingredient of digital library applications such as search and citation analysis. While
Externí odkaz:
http://arxiv.org/abs/2103.07534
Autor:
Subramanian, Shivashankar, Baldini, Ioana, Ravichandran, Sushma, Katz-Rogozhnikov, Dmitriy A., Ramamurthy, Karthikeyan Natesan, Sattigeri, Prasanna, Varshney, Kush R., Wang, Annmarie, Mangalath, Pradeep, Kleiman, Laura B.
More than 200 generic drugs approved by the U.S. Food and Drug Administration for non-cancer indications have shown promise for treating cancer. Due to their long history of safe patient use, low cost, and widespread availability, repurposing of gene
Externí odkaz:
http://arxiv.org/abs/1911.07819
Many pledges are made in the course of an election campaign, forming important corpora for political analysis of campaign strategy and governmental accountability. At present, there are no publicly available annotated datasets of pledges, and most po
Externí odkaz:
http://arxiv.org/abs/1909.00187
We study pragmatics in political campaign text, through analysis of speech acts and the target of each utterance. We propose a new annotation schema incorporating domain-specific speech acts, such as commissive-action, and present a novel annotated c
Externí odkaz:
http://arxiv.org/abs/1905.07856
Publikováno v:
ACL 2018 (camera ready pre-print)
Online petitions are a cost-effective way for citizens to collectively engage with policy-makers in a democracy. Predicting the popularity of a petition --- commonly measured by its signature count --- based on its textual content has utility for pol
Externí odkaz:
http://arxiv.org/abs/1805.06566
Election manifestos document the intentions, motives, and views of political parties. They are often used for analysing a party's fine-grained position on a particular issue, as well as for coarse-grained positioning of a party on the left--right spe
Externí odkaz:
http://arxiv.org/abs/1805.02823
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