Semantic Word Clusters Using Signed Normalized Graph Cuts. - João Sedoc; Jean Gallier; Lyle H. Ungar; Dean P. Foster (CoRR, 2016)

Semantic Word Clusters Using Signed Spectral Clustering. - João Sedoc; Jean Gallier; Dean P. Foster; Lyle H. Ungar (ACL (1), 2017)

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. - João Sedoc; Daniel Preotiuc-Pietro; Lyle H. Ungar (EACL (2), 2017)

Deriving Verb Predicates By Clustering Verbs with Arguments. - João Sedoc; Derry Wijaya; Masoud Rouhizadeh; Andy Schwartz; Lyle H. Ungar (CoRR, 2017)

Enterprise to Computer: Star Trek chatbot. - Grishma Jena; Mansi Vashisht; Abheek Basu; Lyle H. Ungar; João Sedoc (CoRR, 2017)

Domain Aware Neural Dialog System. - Sajal Choudhary; Prerna Srivastava; Lyle H. Ungar; João Sedoc (CoRR, 2017)

Seating Assignment Using Constrained Signed Spectral Clustering. - João Sedoc; Aline Normoyle (CoRR, 2017)

Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models. - João Sedoc (AAAI, 2018)

Modeling Empathy and Distress in Reaction to News Stories. - Sven Buechel; Anneke Buffone; Barry Slaff; Lyle H. Ungar; João Sedoc (EMNLP, 2018)

Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. - Charles W. Kazer; João Sedoc; Kelvin K. W. Ng; Vincent Liu 001; Lyle H. Ungar (HotNets, 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)

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. - Tianlin Liu; João Sedoc; Lyle H. Ungar (CoRR, 2018)

Unsupervised Post-Processing of Word Vectors via Conceptor Negation. - Tianlin Liu; Lyle H. Ungar; João Sedoc (AAAI, 2019)

Comparison of Diverse Decoding Methods from Conditional Language Models. - Daphne Ippolito; Reno Kriz; João Sedoc; Maria Kustikova; Chris Callison-Burch (ACL (1), 2019)

Getting in Shape: Word Embedding SubSpaces. - Tianyuan Zhou; João Sedoc; Jordan Rodu (IJCAI, 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 (IWSDS, 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 (NAACL-HLT (1), 2019)

Continual Learning for Sentence Representations Using Conceptors. - Tianlin Liu; Lyle H. Ungar; João Sedoc (NAACL-HLT (1), 2019)

ChatEval: A Tool for Chatbot Evaluation. - João Sedoc; Daphne Ippolito; Arun Kirubarajan; Jai Thirani; Lyle H. Ungar; Chris Callison-Burch (NAACL-HLT (Demonstrations), 2019)

Anonymization of Sensitive Information in Medical Health Records. - Bhavna Saluja; Gaurav Kumar; João Sedoc; Chris Callison-Burch (IberLEF@SEPLN, 2019)

Conceptor Debiasing of Word Representations Evaluated on WEAT. - Saket Karve; Lyle H. Ungar; João Sedoc (CoRR, 2019)

SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training. - Huda Khayrallah; João Sedoc (EMNLP (Findings), 2020)

Using the Poly-encoder for a COVID-19 Question Answering System. - Seolhwa Lee; João Sedoc (NLP4COVID@EMNLP, 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; et al. (NLP4COVID@EMNLP, 2020)

COD3S: Diverse Generation with Discrete Semantic Signatures. - Nathaniel Weir; João Sedoc; Benjamin Van Durme (EMNLP (1), 2020)

Incremental Neural Coreference Resolution in Constant Memory. - Patrick Xia 002; João Sedoc; Benjamin Van Durme (EMNLP (1), 2020)

Item Response Theory for Efficient Human Evaluation of Chatbots. - João Sedoc; Lyle H. Ungar (Eval4NLP, 2020)

Learning Word Ratings for Empathy and Distress from Document-Level User Responses. - João Sedoc; Sven Buechel; Yehonathan Nachmany; Anneke Buffone; Lyle H. Ungar (LREC, 2020)

Revisiting Memory-Efficient Incremental Coreference Resolution. - Patrick Xia 002; João Sedoc; Benjamin Van Durme (CoRR, 2020)

Decoding Methods for Neural Narrative Generation. - Alexandra DeLucia; Aaron Mueller; Xiang Lisa Li; João Sedoc (CoRR, 2020)

An Evaluation Protocol for Generative Conversational Systems. - Seolhwa Lee; Heuiseok Lim; João Sedoc (CoRR, 2020)

SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. - Huda Khayrallah; João Sedoc (CoRR, 2020)

Topic Modeling for Maternal Health Using Reddit. - Shuang Gao; Shivani Pandya; Smisha Agarwal; João Sedoc (LOUHI@EACL, 2021)

Gendered Language in Resumes - An Empirical Analysis of Gender Norm Violation and Hiring Outcomes. - Prasanna Parasurama; João Sedoc (ICIS, 2021)

Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. - Huda Khayrallah; João Sedoc (NAACL-HLT, 2021)

MimicNet: fast performance estimates for data center networks with machine learning. - Qizhen Zhang 001; Kelvin K. W. Ng; Charles W. Kazer; Shen Yan; João Sedoc; Vincent Liu 001 (SIGCOMM, 2021)

Multi-Emotion Classification for Song Lyrics. - Darren Edmonds; João Sedoc (WASSA@EACL, 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 (WASSA@EACL, 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)

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 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (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)

Automatic Evaluation and Moderation of Open-domain Dialogue Systems. - Chen Zhang 020; João Sedoc; Luis Fernando D'Haro; Rafael E. Banchs; Alexander Rudnicky (CoRR, 2021)

Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring. - Prasanna Parasurama; João Sedoc (CoRR, 2021)

Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees. - Qi He; João Sedoc; Jordan Rodu (CoRR, 2021)

Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. - Pedro Rodríguez 001; Phu Mon Htut; John Lalor; João Sedoc (Insights@ACL, 2022)

Measuring the Language of Self-Disclosure across Corpora. - Ann-Katrin Reuel; Sebastian Peralta; João Sedoc; Garrick Sherman; Lyle H. Ungar (ACL (Findings), 2022)

Piloting Family Health History Chatbot with Crowd-Sourced Data Collection. - Michelle H. Nguyen; João Sedoc; Casey Overby Taylor (AMIA, 2022)

Automatic Document Selection for Efficient Encoder Pretraining. - Yukun Feng; Patrick Xia 002; Benjamin Van Durme; João Sedoc (EMNLP, 2022)

Inducing Generalizable and Interpretable Lexica. - Yilin Geng; Zetian Wu; Roshan Santhosh; Tejas Srivastava; Lyle H. Ungar; João Sedoc (EMNLP (Findings), 2022)

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories. - Valentin Barrière; Shabnam Tafreshi; João Sedoc; Sawsan Alqahtani (WASSA@ACL, 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)

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)

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; et al. (CoRR, 2022)

Conceptor-Aided Debiasing of Contextualized Embeddings. - Yifei Li; Lyle H. Ungar; João Sedoc (CoRR, 2022)

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. - Lining Zhang; João Sedoc; Simon Mille; Yufang Hou 001; Sebastian Gehrmann; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Miruna Clinciu; Saad Mahamood; Khyathi Raghavi Chandu (CoRR, 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)

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 (ACL (Findings), 2023)

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. - Lining Zhang; Simon Mille; Yufang Hou 001; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Saad Mahamood; Sebastian Gehrmann; Miruna Clinciu; Khyathi Raghavi Chandu; João Sedoc (ACL (1), 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 (EACL (Findings), 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 (EMNLP, 2023)

Conditioning on Dialog Acts improves Empathy Style Transfer. - Renyi Qu; Lyle H. Ungar; João Sedoc (EMNLP (Findings), 2023)

Conceptor-Aided Debiasing of Large Language Models. - Yifei Li; Lyle H. Ungar; João Sedoc (EMNLP, 2023)

Linear Connectivity Reveals Generalization Strategies. - Jeevesh Juneja; Rachit Bansal; Kyunghyun Cho; João Sedoc; Naomi Saphra (ICLR, 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 (WASSA@ACL, 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)

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)

Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4. - Mario Rodríguez-Cantelar; Chen Zhang 020; Chengguang Tang; Ke Shi; Sarik Ghazarian; João Sedoc; Luis Fernando D'Haro; Alexander Rudnicky (CoRR, 2023)

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 (EMNLP (Findings), 2024)

Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support. - Britney Ngaw; Grishma Jena; João Sedoc; Aline Normoyle (FDG, 2024)

Back to Principles: Theory-driven Evaluation of AI-based Conversational Agents. - Lining Zhang; João Sedoc; Natalia Levina (ICIS, 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 (ICWSM, 2024)

Large Human Language Models: A Need and the Challenges. - Nikita Soni 002; H. Andrew Schwartz; João Sedoc; Niranjan Balasubramanian (NAACL-HLT, 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 003; Sebastian Gehrmann; Lining Zhang; et al. (NAACL (Short Papers), 2024)

Using LLMs to Animate Interactive Story Characters with Emotions and Personality. - Aline Normoyle; João Sedoc; Funda Durupinar (VR Workshops, 2024)

Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions. - Salvatore Giorgi; João Sedoc; Valentin Barrière; Shabnam Tafreshi (WASSA, 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)

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)

Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations. - Xu Han; Felix Yu; João Sedoc; Benjamin Van Durme (CoRR, 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; et al. (CoRR, 2024)

From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research. - Xiang Cheng; Raveesh Mayya; João Sedoc (CoRR, 2024)

PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. - Huy Vu; Huy Anh Nguyen; Adithya V. Ganesan; Swanie Juhng; Oscar N. E. Kjell; João Sedoc; Margaret L. Kern; Ryan L. Boyd; Lyle H. Ungar; H. Andrew Schwartz; Johannes C. Eichstaedt (CoRR, 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 001; Yang Feng 004; Jie Zhou 016; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. - Tingting Liu; Salvatore Giorgi; Ankit Aich; Allison Lahnala; Brenda Curtis; Lyle H. Ungar; João Sedoc (AAAI, 2025)

What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs. - Sofie Goethals; João Sedoc; Foster J. Provost (UMAP (Adjunct Publication), 2025)

Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models. - Rubing Li; João Sedoc; Arun Sundararajan (CoRR, 2025)

DBOT: Artificial Intelligence for Systematic Long-Term Investing. - Vasant Dhar; João Sedoc (CoRR, 2025)

Simple Methods Defend RAG Systems Well Against Real-World Attacks. - Ilias Triantafyllopoulos; Renyi Qu; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; João Sedoc (CoRR, 2025)

ISCA: A Framework for Interview-Style Conversational Agents. - Charles Welch; Allison Lahnala; Vasudha Varadarajan; Lucie Flek; Rada Mihalcea; J. Lomax Boyd; João Sedoc (CoRR, 2025)