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Shachi Paul
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2020 – today
- 2023
- [c7]Rahul Goel, Waleed Ammar, Aditya Gupta, Siddharth Vashishtha, Motoki Sano, Faiz Surani, Max Chang, HyunJeong Choe, David Greene, Chuan He, Rattima Nitisaroj, Anna Trukhina, Shachi Paul, Pararth Shah, Rushin Shah, Zhou Yu:
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs. EMNLP 2023: 10820-10833 - [i8]Rahul Goel, Waleed Ammar, Aditya Gupta, Siddharth Vashishtha, Motoki Sano, Faiz Surani, Max Chang, HyunJeong Choe, David Greene, Kyle He, Rattima Nitisaroj, Anna Trukhina, Shachi Paul, Pararth Shah, Rushin Shah, Zhou Yu:
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs. CoRR abs/2303.08954 (2023) - 2022
- [c6]Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul:
TableFormer: Robust Transformer Modeling for Table-Text Encoding. ACL (1) 2022: 528-537 - [c5]Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah:
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning. COLING 2022: 310-322 - [i7]Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul:
TableFormer: Robust Transformer Modeling for Table-Text Encoding. CoRR abs/2203.00274 (2022) - [i6]Geunseob Oh, Rahul Goel, Christopher Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah:
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning. CoRR abs/2204.06748 (2022) - 2021
- [c4]Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang:
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. NAACL-HLT (Demonstrations) 2021: 125-132 - [i5]Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang:
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. CoRR abs/2104.09088 (2021) - 2020
- [c3]Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Adarsh Kumar, Anuj Kumar Goyal, Peter Ku, Dilek Hakkani-Tür:
MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines. LREC 2020: 422-428
2010 – 2019
- 2019
- [c2]Shachi Paul, Rahul Goel, Dilek Hakkani-Tür:
Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues. INTERSPEECH 2019: 1453-1457 - [c1]Rahul Goel, Shachi Paul, Dilek Hakkani-Tür:
HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking. INTERSPEECH 2019: 1458-1462 - [i4]Rahul Goel, Shachi Paul, Dilek Hakkani-Tür:
HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking. CoRR abs/1907.00883 (2019) - [i3]Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Dilek Hakkani-Tür:
MultiWOZ 2.1: Multi-Domain Dialogue State Corrections and State Tracking Baselines. CoRR abs/1907.01669 (2019) - [i2]Shachi Paul, Rahul Goel, Dilek Hakkani-Tür:
Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues. CoRR abs/1907.03020 (2019) - 2018
- [i1]Rahul Goel, Shachi Paul, Tagyoung Chung, Jérémie Lecomte, Arindam Mandal, Dilek Hakkani-Tür:
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems. CoRR abs/1811.12891 (2018)
Coauthor Index
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last updated on 2024-09-05 02:08 CEST by the dblp team
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