João Sedoc

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Lyle UngarUniversity of PennsylvaniaPreverjeni e-poštni naslov na cis.upenn.edu
Shabnam TafreshiinQbator AI at eviCore, Evernorth Health Services::: UMDPreverjeni e-poštni naslov na umd.edu
Chris Callison-BurchProfessor, University of PennsylvaniaPreverjeni e-poštni naslov na upenn.edu
Sven BuechelID BerlinPreverjeni e-poštni naslov na id-berlin.de
H. Andrew SchwartzStony Brook UniversityPreverjeni e-poštni naslov na cs.stonybrook.edu
Daphne IppolitoGoogle BrainPreverjeni e-poštni naslov na google.com
Benjamin Van DurmeJohns Hopkins University / MicrosoftPreverjeni e-poštni naslov na jhu.edu
Seolhwa LeePostdoctoral researcher, Department of Computer Science, UKP Lab, TUDarmstadtPreverjeni e-poštni naslov na tu-darmstadt.de
Smisha AgarwalAssociate Professor, Johns Hopkins Bloomberg School of Public HealthPreverjeni e-poštni naslov na jh.edu
Dean FosterAmazon, NYCPreverjeni e-poštni naslov na amazon.com
Anneke BuffoneUniversity of PennsylvaniaPreverjeni e-poštni naslov na sas.upenn.edu
Tianlin LiuUniversity of Basel, SwitzerlandPreverjeni e-poštni naslov na unibas.ch
Arun KirubarajanGraduate Researcher, University of PennsylvaniaPreverjeni e-poštni naslov na cis.upenn.edu
Jean GallierProfessor of Computer Science, University of PennsylvaniaPreverjeni e-poštni naslov na cis.upenn.edu
Daniel Preotiuc-PietroBloombergPreverjeni e-poštni naslov na bloomberg.net
Masoud RouhizadehAssistant Professor, University of FloridaPreverjeni e-poštni naslov na ufl.edu
Derry Tanti WijayaBoston University, Monash University IndonesiaPreverjeni e-poštni naslov na monash.edu

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João Sedoc

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

Preverjeni e-poštni naslov na stern.nyu.edu - Domača stran

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021	135	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	129	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	115	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	90	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	86	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	80	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	72	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	62	2022
Continual Learning for Sentence Representations Using Conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019	49	2019
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	46	2021
Linear Connectivity Reveals Generalization Strategies J Juneja, R Bansal, K Cho, J Sedoc, N Saphra arXiv preprint arXiv:2205.12411, 2022	45	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	43	2022
Large language models could change the future of behavioral healthcare: A proposal for responsible development and evaluation E Stade, SW Stirman, LH Ungar, CL Boland, HA Schwartz, DB Yaden, ... PsyArXiv, 2023	37	2023
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	37	2020
Conceptor Debiasing of Word Representations Evaluated on WEAT S Karve, L Ungar, J Sedoc arXiv preprint arXiv:1906.05993, 2019	37	2019
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	33	2022
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	32*	2017
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	30	2020
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	30	2020
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	28	2017

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