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João Sedoc
João Sedoc
Assistant Professor, Department of Technology, Operations, and Statistics, New York University
Adresse e-mail validée de stern.nyu.edu - Page d'accueil
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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
692021
Comparison of Diverse Decoding Methods from Conditional Language Models
D Ippolito, R Kriz, M Kustikova, J Sedoc, C Callison-Burch
arXiv preprint arXiv:1906.06362, 2019
572019
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
562021
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
492019
Modeling Empathy and Distress in Reaction to News Stories
S Buechel, A Buffone, B Slaff, L Ungar, J Sedoc
arXiv preprint arXiv:1808.10399, 2018
462018
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
412019
Continual Learning for Sentence Representations Using Conceptors
T Liu, L Ungar, J Sedoc
arXiv preprint arXiv:1904.09187, 2019
292019
Conceptor Debiasing of Word Representations Evaluated on WEAT
S Karve, L Ungar, J Sedoc
arXiv preprint arXiv:1906.05993, 2019
272019
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
26*2017
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
242021
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
212017
Unsupervised post-processing of word vectors via conceptor negation
T Liu, L Ungar, J Sedoc
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6778-6785, 2019
192019
Domain Aware Neural Dialog System
S Choudhary, P Srivastava, L Ungar, J Sedoc
arXiv preprint arXiv:1708.00897, 2017
192017
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
142020
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
142019
The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations
J Sedoc, L Ungar
Proceedings of the First Workshop on Gender Bias in Natural Language …, 2019
132019
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
122020
Collecting Verified COVID-19 Question Answer Pairs
A Poliak, M Fleming, C Costello, KW Murray, M Yarmohammadi, ...
122020
Enterprise to Computer: Star Trek chatbot
G Jena, M Vashisht, A Basu, L Ungar, J Sedoc
arXiv preprint arXiv:1708.00818, 2017
122017
Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants
CW Kazer, J Sedoc, KKW Ng, V Liu, LH Ungar
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 141-147, 2018
102018
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