Shivashankar Subramanian

According to our database, Shivashankar Subramanian authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The Semantic Scholar Open Data Platform.

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, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld

CoRR, 2023

2022

Infrastructure for Rapid Open Knowledge Network Development.

Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou

AI Mag., 2022

2021

S2AND: A Benchmark and Evaluation System for Author Name Disambiguation.

Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Evaluating Debiasing Techniques for Intersectional Biases.

Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Fairness-aware Class Imbalanced Learning.

Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.

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

CoRR, 2019

Target Based Speech Act Classification in Political Campaign Text.

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Deep Ordinal Regression for Pledge Specificity Prediction.

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis.

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model.

Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Pairwise Webpage Coreference Classification Using Distant Supervision.

Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Joint Sentence-Document Model for Manifesto Text Analysis.

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke

Proceedings of the Australasian Language Technology Association Workshop, 2017

2016

Poster: Deep Learning Enabled M2M Gateway for Network Optimization.

Shivashankar Subramanian, Arindam Banerjee

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

2014

Multi-label collective classification in multi-attribute multi-relational network data.

Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014