João Sedoc

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Lyle UngarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Shabnam TafreshiinQbator AI at eviCore, Evernorth Health Services::: UMDAdresse e-mail validée de umd.edu
Chris Callison-BurchProfessor, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Sven BuechelID BerlinAdresse e-mail validée de id-berlin.de
H. Andrew SchwartzStony Brook UniversityAdresse e-mail validée de cs.stonybrook.edu
Daphne IppolitoCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Benjamin Van DurmeJohns Hopkins University / MicrosoftAdresse e-mail validée de jhu.edu
Seolhwa LeePostdoctoral researcher, Department of Computer Science, UKP Lab, TUDarmstadtAdresse e-mail validée de tu-darmstadt.de
Smisha AgarwalAssociate Professor, Johns Hopkins Bloomberg School of Public HealthAdresse e-mail validée de jh.edu
Anneke BuffoneUniversity of PennsylvaniaAdresse e-mail validée de sas.upenn.edu
Tianlin LiuGoogle DeepMindAdresse e-mail validée de google.com
Dean FosterAmazon, NYCAdresse e-mail validée de amazon.com
Arun KirubarajanGraduate Researcher, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Jean GallierProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Daniel Preotiuc-PietroBloombergAdresse e-mail validée de bloomberg.net
Masoud RouhizadehAssistant Professor, University of FloridaAdresse e-mail validée de ufl.edu
Derry Tanti WijayaBoston University, Monash University IndonesiaAdresse e-mail validée de monash.edu

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João Sedoc

Assistant Professor, Department of Technology, Operations, and Statistics, New York University

Adresse e-mail validée de stern.nyu.edu - Page d'accueil

natural language processing deep learning dialog systems spectral clustering hidden Markov models


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021	158	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	144	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	127	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	97	2021
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	95	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	94	2019
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation EC Stade, SW Stirman, LH Ungar, CL Boland, HA Schwartz, DB Yaden, ... NPJ Mental Health Research 3 (1), 12, 2024	93	2024
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	78	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	75	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	60	2021
Continual Learning for Sentence Representations Using Conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019	56	2019
Linear Connectivity Reveals Generalization Strategies J Juneja, R Bansal, K Cho, J Sedoc, N Saphra arXiv preprint arXiv:2205.12411, 2022	50	2022
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	49	2022
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	40	2022
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	40	2020
Conceptor Debiasing of Word Representations Evaluated on WEAT S Karve, L Ungar, J Sedoc arXiv preprint arXiv:1906.05993, 2019	37	2019
Learning Word Ratings for Empathy and Distress from Document-Level User Responses J Sedoc, S Buechel, Y Nachmany, A Buffone, L Ungar Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020	36	2020
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	35	2020
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	33*	2017
Decoding Methods for Neural Narrative Generation A DeLucia, A Mueller, XL Li, J Sedoc arXiv preprint arXiv:2010.07375, 2020	31	2020

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