João Sedoc
João Sedoc
Assistant Professor, Department of Technology, Operations, and Statistics, New York University
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
Comparison of Diverse Decoding Methods from Conditional Language Models
D Ippolito, R Kriz, M Kustikova, J Sedoc, C Callison-Burch
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Modeling Empathy and Distress in Reaction to News Stories
S Buechel, A Buffone, B Slaff, L Ungar, J Sedoc
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Overview of the dialogue breakdown detection challenge 4
R Higashinaka, LF D’Haro, BA Shawar, RE Banchs, K Funakoshi, ...
Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021
ChatEval: A Tool for Chatbot Evaluation
J Sedoc, D Ippolito, A Kirubarajan, J Thirani, L Ungar, C Callison-Burch
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders
SX Tang, R Kriz, S Cho, SJ Park, J Harowitz, RE Gur, MT Bhati, DH Wolf, ...
npj Schizophrenia 7 (1), 1-8, 2021
Complexity-weighted loss and diverse reranking for sentence simplification
R Kriz, J Sedoc, M Apidianaki, C Zheng, G Kumar, E Miltsakaki, ...
arXiv preprint arXiv:1904.02767, 2019
Health-focused conversational agents in person-centered care: a review of apps
P Parmar, J Ryu, S Pandya, J Sedoc, S Agarwal
NPJ digital medicine 5 (1), 1-9, 2022
Continual Learning for Sentence Representations Using Conceptors
T Liu, L Ungar, J Sedoc
arXiv preprint arXiv:1904.09187, 2019
Linear Connectivity Reveals Generalization Strategies
J Juneja, R Bansal, K Cho, J Sedoc, N Saphra
arXiv preprint arXiv:2205.12411, 2022
MimicNet: fast performance estimates for data center networks with machine learning
Q Zhang, KKW Ng, C Kazer, S Yan, J Sedoc, V Liu
Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 287-304, 2021
Incremental Neural Coreference Resolution in Constant Memory
P Xia, J Sedoc, B Van Durme
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Conceptor Debiasing of Word Representations Evaluated on WEAT
S Karve, L Ungar, J Sedoc
arXiv preprint arXiv:1906.05993, 2019
Semantic word clusters using signed spectral clustering
J Sedoc, J Gallier, D Foster, L Ungar
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
D Omitaomu, S Tafreshi, T Liu, S Buechel, C Callison-Burch, J Eichstaedt, ...
arXiv preprint arXiv:2205.12698, 2022
Item Response Theory for Efficient Human Evaluation of Chatbots
J Sedoc, L Ungar
Proceedings of the First Workshop on Evaluation and Comparison of NLP …, 2020
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories
V Barriere, S Tafreshi, J Sedoc, S Alqahtani
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity …, 2022
Learning Word Ratings for Empathy and Distress from Document-Level User Responses
J Sedoc, S Buechel, Y Nachmany, A Buffone, L Ungar
arXiv preprint arXiv:1912.01079, 2019
Predicting emotional word ratings using distributional representations and signed clustering
J Sedoc, D Preoţiuc-Pietro, L Ungar
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Automatic evaluation and moderation of open-domain dialogue systems
C Zhang, J Sedoc, LF D'Haro, R Banchs, A Rudnicky
arXiv preprint arXiv:2111.02110, 2021
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