Christopher Hidey

Affiliations:
  • Columbia University, Department of Computer Science, New York, NY, USA


According to our database1, Christopher Hidey authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Compute-Efficient Churn Reduction for Conversational Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments.
CoRR, 2022

Reducing Model Churn: Stable Re-training of Conversational Agents.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
ENTRUST: Argument Reframing with Language Models and Entailment.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Fixed That for You: Generating Contrastive Claims with Semantic Edits.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

IMHO Fine-Tuning Improves Claim Detection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Confirming the Non-compositionality of Idioms for Sentiment Analysis.
Proceedings of the Joint Workshop on Multiword Expressions and WordNet, 2019

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Persuasive Influence Detection: The Role of Argument Sequencing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification.
CoRR, 2017

The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation.
Proceedings of the 2017 Text Analysis Conference, 2017

Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation.
Proceedings of the 2016 Text Analysis Conference, 2016

Identifying Causal Relations Using Parallel Wikipedia Articles.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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