| Analyzing the semantic types of claims and premises in an online persuasive forum C Hidey, E Musi, A Hwang, S Muresan, K McKeown Proceedings of the 4th Workshop on Argument Mining, 11-21, 2017 | 125 | 2017 |
| Identifying causal relations using parallel Wikipedia articles C Hidey, K McKeown Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 108 | 2016 |
| AMPERSAND: Argument mining for PERSuAsive oNline discussions T Chakrabarty, C Hidey, S Muresan, K McKeown, A Hwang arXiv preprint arXiv:2004.14677, 2020 | 105 | 2020 |
| IMHO fine-tuning improves claim detection T Chakrabarty, C Hidey, K McKeown arXiv preprint arXiv:1905.07000, 2019 | 64 | 2019 |
| Persuasive Influence Detection: The Role of Argument Sequencing C Hidey, K McKeown Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 60 | 2018 |
| DeSePtion: Dual sequence prediction and adversarial examples for improved fact-checking C Hidey, T Chakrabarty, T Alhindi, S Varia, K Krstovski, M Diab, ... arXiv preprint arXiv:2004.12864, 2020 | 46 | 2020 |
| Fixed that for you: Generating contrastive claims with semantic edits C Hidey, K McKeown Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 33 | 2019 |
| Team SWEEPer: Joint sentence extraction and fact checking with pointer networks C Hidey, M Diab Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018 | 26 | 2018 |
| Discourse relation prediction: Revisiting word pairs with convolutional networks S Varia, C Hidey, T Chakrabarty Proceedings of the 20th annual SIGdial meeting on discourse and dialogue …, 2019 | 21 | 2019 |
| MFRED, 10 second interval real and reactive power for groups of 390 US apartments of varying size and vintage CJ Meinrenken, N Rauschkolb, S Abrol, T Chakrabarty, VC Decalf, ... Scientific Data 7 (1), 375, 2020 | 20 | 2020 |
| ENTRUST: Argument reframing with language models and entailment T Chakrabarty, C Hidey, S Muresan arXiv preprint arXiv:2103.06758, 2021 | 11 | 2021 |
| Leveraging sparse and dense feature combinations for sentiment classification T Yu, C Hidey, O Rambow, K McKeown arXiv preprint arXiv:1708.03940, 2017 | 11 | 2017 |
| Confirming the non-compositionality of idioms for sentiment analysis A Hwang, C Hidey Proceedings of the joint workshop on multiword expressions and wordnet (mwe …, 2019 | 9 | 2019 |
| The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. O Rambow, T Yu, A Radeva, AR Fabbri, C Hidey, T Peng, KR McKeown, ... TAC, 2016 | 9 | 2016 |
| Residential electricity conservation in response to auto-generated, multi-featured, personalized eco-feedback designed for large scale applications with utilities CJ Meinrenken, S Abrol, GB Gite, C Hidey, K McKeown, A Mehmani, ... Energy and Buildings 232, 110652, 2021 | 7 | 2021 |
| Reducing Model Churn: Stable Re-training of Conversational Agents C Hidey, F Liu, R Goel Proceedings of the 23rd Annual Meeting of the Special Interest Group on …, 2022 | 3 | 2022 |
| Reducing model jitter: Stable re-training of semantic parsers in production environments C Hidey, F Liu, R Goel arXiv preprint arXiv:2204.04735, 2022 | 2 | 2022 |
| LLM-based Task-oriented Dialog System with Few-shot Retrieval Augmentation R Goel, C Hidey, HR Mohammad, PR Muddireddy, F Liu | 1 | 2023 |
| Compute-Efficient Churn Reduction for Conversational Agents C Hidey, S Sarthak Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue W Held, C Hidey, F Liu, E Zhu, R Goel, D Yang, R Shah arXiv preprint arXiv:2212.08054, 2022 | | 2022 |
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityVerified email at cs.columbia.edu
