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ORCIDChristopher Hidey
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- affiliation: Columbia University, Department of Computer Science, New York, NY, USA
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Conference and Workshop Papers
- 2023
[c15]William Held, Christopher Hidey, Fei Liu, Eric Zhu, Rahul Goel, Diyi Yang, Rushin Shah:
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue. ACL (1) 2023: 3586-3604- [c14]Christopher Hidey, Sarthak Sarthak:
Compute-Efficient Churn Reduction for Conversational Agents. EMNLP (Industry Track) 2023: 284-293 - 2022
- [c13]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 - [c12]Christopher Hidey, Fei Liu, Rahul Goel:
Reducing Model Churn: Stable Re-training of Conversational Agents. SIGDIAL 2022: 14-25 - 2021
- [c11]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan:
ENTRUST: Argument Reframing with Language Models and Entailment. NAACL-HLT 2021: 4958-4971 - 2020
- [c10]Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan:
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. ACL 2020: 8593-8606 - 2019
- [c9]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. EMNLP/IJCNLP (1) 2019: 2933-2943 - [c8]Alyssa Hwang, Christopher Hidey:
Confirming the Non-compositionality of Idioms for Sentiment Analysis. MWE-WN@ACL 2019: 125-129 - [c7]Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown:
IMHO Fine-Tuning Improves Claim Detection. NAACL-HLT (1) 2019: 558-563 - [c6]Christopher Hidey, Kathy McKeown:
Fixed That for You: Generating Contrastive Claims with Semantic Edits. NAACL-HLT (1) 2019: 1756-1767 - [c5]Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty:
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks. SIGdial 2019: 442-452 - 2018
- [c4]Christopher Hidey, Kathleen R. McKeown:
Persuasive Influence Detection: The Role of Argument Sequencing. AAAI 2018: 5173-5180 - [c3]Christopher Hidey, Mona T. Diab:
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks. FEVER@EMNLP 2018: 150-155 - 2017
- [c2]Christopher Hidey, Elena Musi
, Alyssa Hwang, Smaranda Muresan, Kathy McKeown:
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum. ArgMining@EMNLP 2017: 11-21 - 2016
- [c1]Christopher Hidey, Kathy McKeown:
Identifying Causal Relations Using Parallel Wikipedia Articles. ACL (1) 2016
Informal and Other Publications
- 2022
- [i10]Christopher Hidey, Fei Liu, Rahul Goel:
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments. CoRR abs/2204.04735 (2022) - [i9]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) - [i8]William Held, Christopher Hidey, Fei Liu, Eric Zhu, Rahul Goel, Diyi Yang, Rushin Shah:
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue. CoRR abs/2212.08054 (2022) - 2021
- [i7]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan:
ENTRUST: Argument Reframing with Language Models and Entailment. CoRR abs/2103.06758 (2021) - 2020
- [i6]Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan:
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. CoRR abs/2004.12864 (2020) - [i5]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. CoRR abs/2004.14677 (2020) - 2019
- [i4]Tuhin Chakrabarty, Christopher Hidey, Kathleen R. McKeown:
IMHO Fine-Tuning Improves Claim Detection. CoRR abs/1905.07000 (2019) - 2017
- [i3]Owen Rambow, Mohamed Al-Badrashiny, Axinia Radeva, Sardar Hamidian, Tao Yu, Tianrui Peng, Christopher Hidey, Smaranda Muresan, Mona T. Diab, Kathleen R. McKeown:
The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation. TAC 2017 - [i2]Tao Yu, Christopher Hidey, Owen Rambow, Kathleen R. McKeown:
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification. CoRR abs/1708.03940 (2017) - 2016
- [i1]Owen Rambow, Tao Yu, Axinia Radeva, Alexander R. Fabbri, Christopher Hidey, Tianrui Peng, Kathleen R. McKeown, Smaranda Muresan, Sardar Hamidian, Mona T. Diab, Debanjan Ghosh:
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. TAC 2016
Coauthor Index
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