João Sedoc

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 89

Top Topics

Item Response Theory

Automatic Evaluation

Top Venues

EMNLP (Findings)

Publications

Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR (2024)
Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya, João Sedoc, Lyle H. Ungar, Johannes C. Eichstaedt
Large Language Models Show Human-like Social Desirability Biases in Survey Responses. CoRR (2024)
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
Large Human Language Models: A Need and the Challenges. NAACL-HLT (2024)
Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis
Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases. CoRR (2024)
Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib, João Sedoc, Chase Smitterberg, Amanda Devoto, McKenzie Himelein-Wachowiak, Brenda Curtis
Lived Experience Matters: Automatic Detection of Stigma toward People Who Use Substances on Social Media. ICWSM (2024)
Britney Ngaw, Grishma Jena, João Sedoc, Aline Normoyle
Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support. FDG (2024)
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
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Aline Normoyle, João Sedoc, Funda Durupinar
Using LLMs to Animate Interactive Story Characters with Emotions and Personality. VR Workshops (2024)
Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib, João Sedoc, Chase Smitterberg, Amanda Devoto, McKenzie Himelein-Wachowiak, Brenda Curtis
Lived Experience Matters: Automatic Detection of Stigma toward People Who Use Substances on Social Media. CoRR (2023)
Seunggun Lee, Alexandra DeLucia, Nikita Nangia, Praneeth Ganedi, Ryan Guan, Rubing Li, Britney Ngaw, Aditya Singhal, Shalaka Vaidya, Zijun Yuan, Lining Zhang, João Sedoc
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations. ACL (Findings) (2023)
Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku
An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives. CoRR (2023)
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. EACL (Findings) (2023)
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
Large Human Language Models: A Need and the Challenges. CoRR (2023)
Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc
Human-Centered Metrics for Dialog System Evaluation. CoRR (2023)
Renyi Qu, Lyle H. Ungar, João Sedoc
Conditioning on Dialog Acts improves Empathy Style Transfer. EMNLP (Findings) (2023)
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Linear Connectivity Reveals Generalization Strategies. ICLR (2023)
Li Yifei, Lyle H. Ungar, João Sedoc
Conceptor-Aided Debiasing of Large Language Models. EMNLP (2023)
Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku
An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". EMNLP (2023)
Valentin Barrière, João Sedoc, Shabnam Tafreshi, Salvatore Giorgi
Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles. WASSA@ACL (2023)
Huda Khayrallah, Zuhaib Akhtar, Edward Cohen, João Sedoc
How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation. CoRR (2023)
Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang, Ke Shi, Sarik Ghazarian, João Sedoc, Luis Fernando D'Haro, Alexander Rudnicky
Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4. CoRR (2023)
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) (2023)
Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc
Automatic Document Selection for Efficient Encoder Pretraining. CoRR (2022)
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
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Linear Connectivity Reveals Generalization Strategies. CoRR (2022)
Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle Ungar, João Sedoc
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR (2022)
Michelle H. Nguyen, João Sedoc, Casey Taylor
Piloting Family Health History Chatbot with Crowd-Sourced Data Collection. AMIA (2022)
Pritika Parmar, Jina Ryu, Shivani Pandya, João Sedoc, Smisha Agarwal
Health-focused conversational agents in person-centered care: a review of apps. npj Digit. Medicine 5 (2022)
Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle Ungar, João Sedoc
Inducing Generalizable and Interpretable Lexica. EMNLP (Findings) (2022)
Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR (2022)
Yifei Li, Lyle Ungar, João Sedoc
Conceptor-Aided Debiasing of Contextualized Embeddings. CoRR (2022)
Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc
Automatic Document Selection for Efficient Encoder Pretraining. EMNLP (2022)
Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. Insights@ACL (2022)
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. CoRR (2022)
Valentin Barrière, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories. WASSA@ACL (2022)
Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. CoRR (2022)
Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle Ungar
Measuring the Language of Self-Disclosure across Corpora. ACL (Findings) (2022)
Shuang Gao, Shivani Pandya, Smisha Agarwal, João Sedoc
Topic Modeling for Maternal Health Using Reddit. LOUHI@EACL (2021)
Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories. WASSA@EACL (2021)
Qi He, João Sedoc, Jordan Rodu
Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees. CoRR (2021)
Darren Edmonds, João Sedoc
Multi-Emotion Classification for Song Lyrics. WASSA@EACL (2021)
Huda Khayrallah, João Sedoc
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. NAACL-HLT (2021)
Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu
MimicNet: fast performance estimates for data center networks with machine learning. SIGCOMM (2021)
Prasanna Parasurama, João Sedoc
Gendered Language in Resumes - An Empirical Analysis of Gender Norm Violation and Hiring Outcomes. ICIS (2021)
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael E. Banchs, Alexander Rudnicky
Automatic Evaluation and Moderation of Open-domain Dialogue Systems. CoRR (2021)
Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
Who says like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning. CoRR (2021)
Prasanna Parasurama, João Sedoc
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring. CoRR (2021)
Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
Who Speaks Like a Style of Vitamin: Towards Syntax-Aware Dialogue Summarization Using Multi-Task Learning. IEEE Access 9 (2021)
Huda Khayrallah, João Sedoc
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. CoRR (2020)
João Sedoc, Lyle H. Ungar
Item Response Theory for Efficient Human Evaluation of Chatbots. Eval4NLP (2020)
Patrick Xia, João Sedoc, Benjamin Van Durme
Revisiting Memory-Efficient Incremental Coreference Resolution. CoRR (2020)
João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle Ungar
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC (2020)
Patrick Xia, João Sedoc, Benjamin Van Durme
Incremental Neural Coreference Resolution in Constant Memory. EMNLP (1) (2020)
Huda Khayrallah, João Sedoc
SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training. EMNLP (Findings) (2020)
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
Collecting Verified COVID-19 Question Answer Pairs. NLP4COVID@EMNLP (2020)
Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc
Decoding Methods for Neural Narrative Generation. CoRR (2020)
Seolhwa Lee, João Sedoc
Using the Poly-encoder for a COVID-19 Question Answering System. NLP4COVID@EMNLP (2020)
Nathaniel Weir, João Sedoc, Benjamin Van Durme
COD3S: Diverse Generation with Discrete Semantic Signatures. CoRR (2020)
Nathaniel Weir, João Sedoc, Benjamin Van Durme
COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP (1) (2020)
Seolhwa Lee, Heuiseok Lim, João Sedoc
An Evaluation Protocol for Generative Conversational Systems. CoRR (2020)
Huda Khayrallah, João Sedoc
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. CoRR (2020)
Tianlin Liu, Lyle Ungar, João Sedoc
Continual Learning for Sentence Representations Using Conceptors. CoRR (2019)
Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, Chris Callison-Burch
Comparison of Diverse Decoding Methods from Conditional Language Models. ACL (1) (2019)
Tianyuan Zhou, João Sedoc, Jordan Rodu
Getting in Shape: Word Embedding SubSpaces. IJCAI (2019)
Ryuichiro Higashinaka, Luis F. D'Haro, Bayan Abu Shawar, Rafael E. Banchs, Kotaro Funakoshi, Michimasa Inaba, Yuiko Tsunomori, Tetsuro Takahashi, João Sedoc
Overview of the Dialogue Breakdown Detection Challenge 4. IWSDS (2019)
Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch
Anonymization of Sensitive Information in Medical Health Records. IberLEF@SEPLN (2019)
Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. CoRR (2019)
Saket Karve, Lyle Ungar, João Sedoc
Conceptor Debiasing of Word Representations Evaluated on WEAT. CoRR (2019)
João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle Ungar
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. CoRR (2019)
Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. NAACL-HLT (1) (2019)
Tianlin Liu, Lyle Ungar, João Sedoc
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI (2019)
Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, Chris Callison-Burch
Comparison of Diverse Decoding Methods from Conditional Language Models. CoRR (2019)
João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle Ungar, Chris Callison-Burch
ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) (2019)
Tianlin Liu, Lyle Ungar, João Sedoc
Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) (2019)
Tianlin Liu, João Sedoc, Lyle H. Ungar
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR (2018)
Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc
Modeling Empathy and Distress in Reaction to News Stories. CoRR (2018)
Tianlin Liu, Lyle H. Ungar, João Sedoc
Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR (2018)
Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. CoRR (2018)
João Sedoc
Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models. AAAI (2018)
Charles W. Kazer, João Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar
Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. HotNets (2018)
Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc
Modeling Empathy and Distress in Reaction to News Stories. EMNLP (2018)
João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. EACL (2) (2017)
João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar
Semantic Word Clusters Using Signed Spectral Clustering. ACL (1) (2017)
Sajal Choudhary, Prerna Srivastava, Lyle H. Ungar, João Sedoc
Domain Aware Neural Dialog System. CoRR (2017)
Grishma Jena, Mansi Vashisht, Abheek Basu, Lyle H. Ungar, João Sedoc
Enterprise to Computer: Star Trek chatbot. CoRR (2017)
João Sedoc, Aline Normoyle
Seating Assignment Using Constrained Signed Spectral Clustering. CoRR (2017)
João Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle H. Ungar
Deriving Verb Predicates By Clustering Verbs with Arguments. CoRR (2017)
João Sedoc, Jean Gallier, Lyle H. Ungar, Dean P. Foster
Semantic Word Clusters Using Signed Normalized Graph Cuts. CoRR (2016)