Saloni Potdar

According to our database, Saloni Potdar authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

The Second Workshop on Applied Machine Learning Management.

Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Fast and Light-Weight Answer Text Retrieval in Dialogue Systems.

Hui Wan, Siva Sankalp Patel, J. William Murdock, Saloni Potdar, Sachindra Joshi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants.

Cheng Qian, Haode Qi, Gengyu Wang, Ladislav Kunc, Saloni Potdar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Improved Text Classification via Contrastive Adversarial Training.

Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.

Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su

Trans. Assoc. Comput. Linguistics, 2021

Improved Text Classification via Contrastive Adversarial Training.

Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar, Mo Yu

CoRR, 2021

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations.

Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Multilingual BERT Post-Pretraining Alignment.

Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Benchmarking Intent Detection for Task-Oriented Dialog Systems.

Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Saloni Potdar

CoRR, 2020

Frustratingly Hard Evidence Retrieval for QA Over Books.

Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su

Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2019

Out-of-Domain Detection for Low-Resource Text Classification Tasks.

Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu

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

Context-Aware Conversation Thread Detection in Multi-Party Chat.

Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu

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

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.

Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Diverse Few-Shot Text Classification with Multiple Metrics.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

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

2017

Robust Task Clustering for Deep Many-Task Learning.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou

CoRR, 2017

Neural Models for Sequence Chunking.

Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017