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ORCIDAnirudh Srinivasan
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Journal Articles
- 2017
[j1]Eshwar Chandrasekharan
, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, Eric Gilbert:
You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech. Proc. ACM Hum. Comput. Interact. 1(CSCW): 31:1-31:22 (2017)
Conference and Workshop Papers
- 2024
- [c9]Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi:
Textless Speech-to-Speech Translation With Limited Parallel Data. EMNLP (Findings) 2024: 16208-16224 - 2022
- [c8]Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury:
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. AAAI 2022: 13227-13229 - [c7]Anirudh Srinivasan, Eunsol Choi:
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages. EMNLP (Findings) 2022: 5723-5738 - 2021
- [c6]Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury, Sunayana Sitaram:
GCM: A Toolkit for Generating Synthetic Code-mixed Text. EACL (System Demonstrations) 2021: 205-211 - 2020
- [c5]Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury:
GLUECoS: An Evaluation Benchmark for Code-Switched NLP. ACL 2020: 3575-3585 - [c4]Anirudh Srinivasan, Sandipan Dandapat, Monojit Choudhury:
Code-mixed parse trees and how to find them. CodeSwitch@LREC 2020: 57-64 - [c3]Anirudh Srinivasan:
MSR India at SemEval-2020 Task 9: Multilingual Models Can Do Code-Mixing Too. SemEval@COLING 2020: 951-956 - 2019
- [c2]Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat:
Processing and Understanding Mixed Language Data. EMNLP/IJCNLP (2) 2019 - 2017
- [c1]Eshwar Chandrasekharan, Mattia Samory, Anirudh Srinivasan, Eric Gilbert:
The Bag of Communities: Identifying Abusive Behavior Online with Preexisting Internet Data. CHI 2017: 3175-3187
Editorship
- 2021
- [e1]Thamar Solorio, Shuguang Chen, Alan W. Black, Mona T. Diab, Sunayana Sitaram, Victor Soto, Emre Yilmaz, Anirudh Srinivasan:
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, CALCS@NAACL 2021, Online, June 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-45-9 [contents]
Informal and Other Publications
- 2023
- [i8]Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi:
Unit-based Speech-to-Speech Translation Without Parallel Data. CoRR abs/2305.15405 (2023) - [i7]Anirudh Srinivasan, Venkata Subrahmanyan Govindarajan, Kyle Mahowald:
Counterfactually Probing Language Identity in Multilingual Models. CoRR abs/2310.18862 (2023) - 2022
- [i6]Shuguang Chen, Gustavo Aguilar, Anirudh Srinivasan, Mona T. Diab, Thamar Solorio:
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data. CoRR abs/2202.09625 (2022) - [i5]Anirudh Srinivasan, Eunsol Choi:
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages. CoRR abs/2211.16496 (2022) - 2021
- [i4]Anirudh Srinivasan, Sunayana Sitaram, Tanuja Ganu, Sandipan Dandapat, Kalika Bali, Monojit Choudhury:
Predicting the Performance of Multilingual NLP Models. CoRR abs/2110.08875 (2021) - 2020
- [i3]Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury:
GLUECoS : An Evaluation Benchmark for Code-Switched NLP. CoRR abs/2004.12376 (2020) - 2019
- [i2]Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio:
Automated curriculum generation for Policy Gradients from Demonstrations. CoRR abs/1912.00444 (2019) - [i1]Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali:
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. CoRR abs/1912.03457 (2019)
Coauthor Index
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