João Sedoc

According to our database, João Sedoc authored at least 80 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overview of the Tenth Dialog System Technology Challenge: DSTC10.

Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Socially Responsible Data for Large Multilingual Language Models.

Andrew Smart, Ben Hutchinson, Lameck Mbangula Amugongo, Suzanne Dikker, Alex Zito, Amber Ebinama, Zara Wudiri, Ding Wang, Erin van Liemt, João Sedoc, Seyi Olojo, Stanley Uwakwe, Edem Wornyo, Sonja Schmer-Galunder, Jamila Smith-Loud

CoRR, 2024

Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations.

Xu Han, Felix Yu, João Sedoc, Benjamin Van Durme

CoRR, 2024

Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases.

Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis

CoRR, 2024

Large Language Models Show Human-like Social Desirability Biases in Survey Responses.

Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya, João Sedoc, Lyle H. Ungar, Johannes C. Eichstaedt

CoRR, 2024

Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions.

Salvatore Giorgi, João Sedoc, Valentin Barrière, Shabnam Tafreshi

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Using LLMs to Animate Interactive Story Characters with Emotions and Personality.

Aline Normoyle, João Sedoc, Funda Durupinar

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

On the Role of Summary Content Units in Text Summarization Evaluation.

Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Large Human Language Models: A Need and the Challenges.

Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Lived Experience Matters: Automatic Detection of Stigma toward People Who Use Substances on Social Media.

Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib, João Sedoc, Chase Smitterberg, Amanda Devoto, McKenzie Himelein-Wachowiak, Brenda Curtis

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Back to Principles: Theory-driven Evaluation of AI-based Conversational Agents.

Lining Zhang, João Sedoc, Natalia Levina

Proceedings of the 45th International Conference on Information Systems, 2024

Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support.

Britney Ngaw, Grishma Jena, João Sedoc, Aline Normoyle

Proceedings of the 19th International Conference on the Foundations of Digital Games, 2024

Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas.

Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4.

Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang, Ke Shi, Sarik Ghazarian, João Sedoc, Luis Fernando D'Haro, Alexander Rudnicky

CoRR, 2023

Human-Centered Metrics for Dialog System Evaluation.

Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc

CoRR, 2023

How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation.

Huda Khayrallah, Zuhaib Akhtar, Edward Cohen, João Sedoc

CoRR, 2023

Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles.

Valentin Barrière, João Sedoc, Shabnam Tafreshi, Salvatore Giorgi

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Linear Connectivity Reveals Generalization Strategies.

Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conceptor-Aided Debiasing of Large Language Models.

Li S. Yifei, Lyle H. Ungar, João Sedoc

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Conditioning on Dialog Acts improves Empathy Style Transfer.

Renyi Qu, Lyle H. Ungar, João Sedoc

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives".

Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy.

Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization.

Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Common Law Annotations: Investigating the Stability of Dialog System Output Annotations.

Seunggun Lee, Alexandra DeLucia, Nikita Nangia, Praneeth Ganedi, Ryan Guan, Rubing Li, Britney Ngaw, Aditya Singhal, Shalaka Vaidya, Zijun Yuan, Lining Zhang, João Sedoc

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Health-focused conversational agents in person-centered care: a review of apps.

Pritika Parmar, Jina Ryu, Shivani Pandya, João Sedoc, Smisha Agarwal

npj Digit. Medicine, 2022

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization.

Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu

CoRR, 2022

Conceptor-Aided Debiasing of Contextualized Embeddings.

Yifei Li, Lyle H. Ungar, João Sedoc

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations.

Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc

CoRR, 2022

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines.

Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim

CoRR, 2022

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories.

Valentin Barrière, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Inducing Generalizable and Interpretable Lexica.

Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle H. Ungar, João Sedoc

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Automatic Document Selection for Efficient Encoder Pretraining.

Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Piloting Family Health History Chatbot with Crowd-Sourced Data Collection.

Michelle H. Nguyen, João Sedoc, Casey Overby Taylor

Proceedings of the AMIA 2022, 2022

Measuring the Language of Self-Disclosure across Corpora.

Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle H. Ungar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory.

Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees.

Qi He, João Sedoc, Jordan Rodu

CoRR, 2021

Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring.

Prasanna Parasurama, João Sedoc

CoRR, 2021

Automatic Evaluation and Moderation of Open-domain Dialogue Systems.

Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael E. Banchs, Alexander Rudnicky

CoRR, 2021

Who says like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning.

Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

Who Speaks Like a Style of Vitamin: Towards Syntax-Aware Dialogue Summarization Using Multi-Task Learning.

Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim

IEEE Access, 2021

WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories.

Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur

Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Multi-Emotion Classification for Song Lyrics.

Darren Edmonds, João Sedoc

Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

MimicNet: fast performance estimates for data center networks with machine learning.

Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Measuring the 'I don't know' Problem through the Lens of Gricean Quantity.

Huda Khayrallah, João Sedoc

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Gendered Language in Resumes - An Empirical Analysis of Gender Norm Violation and Hiring Outcomes.

Prasanna Parasurama, João Sedoc

Proceedings of the 42nd International Conference on Information Systems, 2021

Topic Modeling for Maternal Health Using Reddit.

Shuang Gao, Shivani Pandya, Smisha Agarwal, João Sedoc

Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021

2020

SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training.

Huda Khayrallah, João Sedoc

CoRR, 2020

An Evaluation Protocol for Generative Conversational Systems.

Seolhwa Lee, Heuiseok Lim, João Sedoc

CoRR, 2020

Decoding Methods for Neural Narrative Generation.

Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc

CoRR, 2020

Revisiting Memory-Efficient Incremental Coreference Resolution.

Patrick Xia, João Sedoc, Benjamin Van Durme

CoRR, 2020

Learning Word Ratings for Empathy and Distress from Document-Level User Responses.

João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Item Response Theory for Efficient Human Evaluation of Chatbots.

João Sedoc, Lyle H. Ungar

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Incremental Neural Coreference Resolution in Constant Memory.

Patrick Xia, João Sedoc, Benjamin Van Durme

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

COD3S: Diverse Generation with Discrete Semantic Signatures.

Nathaniel Weir, João Sedoc, Benjamin Van Durme

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Collecting Verified COVID-19 Question Answer Pairs.

Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Using the Poly-encoder for a COVID-19 Question Answering System.

Seolhwa Lee, João Sedoc

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training.

Huda Khayrallah, João Sedoc

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Conceptor Debiasing of Word Representations Evaluated on WEAT.

Saket Karve, Lyle H. Ungar, João Sedoc

CoRR, 2019

Anonymization of Sensitive Information in Medical Health Records.

Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

ChatEval: A Tool for Chatbot Evaluation.

João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Continual Learning for Sentence Representations Using Conceptors.

Tianlin Liu, Lyle H. Ungar, João Sedoc

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification.

Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Overview of the Dialogue Breakdown Detection Challenge 4.

Ryuichiro Higashinaka, Luis F. D'Haro, Bayan Abu Shawar, Rafael E. Banchs, Kotaro Funakoshi, Michimasa Inaba, Yuiko Tsunomori, Tetsuro Takahashi, João Sedoc

Proceedings of the Increasing Naturalness and Flexibility in Spoken Dialogue Interaction, 2019

Getting in Shape: Word Embedding SubSpaces.

Tianyuan Zhou, João Sedoc, Jordan Rodu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Comparison of Diverse Decoding Methods from Conditional Language Models.

Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, Chris Callison-Burch

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Post-Processing of Word Vectors via Conceptor Negation.

Tianlin Liu, Lyle H. Ungar, João Sedoc

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors.

Tianlin Liu, João Sedoc, Lyle H. Ungar

CoRR, 2018

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations.

Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar

CoRR, 2018

Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants.

Charles W. Kazer, João Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar

Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

Modeling Empathy and Distress in Reaction to News Stories.

Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models.

João Sedoc

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Seating Assignment Using Constrained Signed Spectral Clustering.

João Sedoc, Aline Normoyle

CoRR, 2017

Domain Aware Neural Dialog System.

Sajal Choudhary, Prerna Srivastava, Lyle H. Ungar, João Sedoc

CoRR, 2017

Enterprise to Computer: Star Trek chatbot.

Grishma Jena, Mansi Vashisht, Abheek Basu, Lyle H. Ungar, João Sedoc

CoRR, 2017

Deriving Verb Predicates By Clustering Verbs with Arguments.

João Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle H. Ungar

CoRR, 2017

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering.

João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Semantic Word Clusters Using Signed Spectral Clustering.

João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Semantic Word Clusters Using Signed Normalized Graph Cuts.

João Sedoc, Jean Gallier, Lyle H. Ungar, Dean P. Foster

CoRR, 2016