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Shivashankar Subramanian
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2020 – today
- 2024
- [c13]Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra:
Towards Improved Multi-Source Attribution for Long-Form Answer Generation. NAACL-HLT 2024: 3906-3919 - 2023
- [i9]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg
, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - 2022
- [j1]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - 2021
- [c12]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. EMNLP (1) 2021: 2045-2051 - [c11]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. EMNLP (1) 2021: 2492-2498 - [c10]Shivashankar Subramanian, Daniel King
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. JCDL 2021: 170-179 - [i8]Shivashankar Subramanian, Daniel King
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. CoRR abs/2103.07534 (2021) - [i7]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. CoRR abs/2109.10441 (2021) - [i6]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. CoRR abs/2109.10444 (2021) - 2020
- [c9]Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. AAAI 2020: 13369-13381
2010 – 2019
- 2019
- [c8]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. EMNLP/IJCNLP (1) 2019: 1729-1740 - [c7]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. *SEM@NAACL-HLT 2019: 273-282 - [i5]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. CoRR abs/1905.07856 (2019) - [i4]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. CoRR abs/1909.00187 (2019) - [i3]Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman:
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. CoRR abs/1911.07819 (2019) - 2018
- [c6]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. ACL (2) 2018: 182-188 - [c5]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. NAACL-HLT 2018: 1964-1974 - [i2]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis. CoRR abs/1805.02823 (2018) - [i1]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. CoRR abs/1805.06566 (2018) - 2017
- [c4]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke:
Joint Sentence-Document Model for Manifesto Text Analysis. ALTA 2017: 25-33 - [c3]Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn:
Pairwise Webpage Coreference Classification Using Distant Supervision. WWW (Companion Volume) 2017: 841-842 - 2016
- [c2]Shivashankar Subramanian, Arindam Banerjee:
Poster: Deep Learning Enabled M2M Gateway for Network Optimization. MobiSys (Companion Volume) 2016: 144 - 2014
- [c1]Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran
Multi-label collective classification in multi-attribute multi-relational network data. ASONAM 2014: 509-514
Coauthor Index
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