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2020 – today
- 2024
[j3]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: 765-778 (2024)- [c48]Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis:
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas. EMNLP (Findings) 2024: 7174-7188 - [c47]Britney Ngaw, Grishma Jena, João Sedoc, Aline Normoyle:
Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support. FDG 2024: 43 - [c46]Lining Zhang, João Sedoc, Natalia Levina:
Back to Principles: Theory-driven Evaluation of AI-based Conversational Agents. ICIS 2024 - [c45]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: 474-487 - [c44]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:
On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) 2024: 272-281 - [c43]Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian:
Large Human Language Models: A Need and the Challenges. NAACL-HLT 2024: 8631-8646 - [c42]Aline Normoyle, João Sedoc, Funda Durupinar:
Using LLMs to Animate Interactive Story Characters with Emotions and Personality. VR Workshops 2024: 632-635 - [c41]Salvatore Giorgi, João Sedoc, Valentin Barrière, Shabnam Tafreshi:
Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions. WASSA 2024: 369-379 - [e5]Orphée De Clercq, Valentin Barrière, Jeremy Barnes, Roman Klinger, João Sedoc, Shabnam Tafreshi:
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, WASSA 2024, Bangkok, Thailand, August 15, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-156-8 [contents] - [i44]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 abs/2404.01701 (2024) - [i43]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 abs/2405.06058 (2024) - [i42]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 abs/2406.14462 (2024) - [i41]Xu Han, Felix Yu, João Sedoc, Benjamin Van Durme:
Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations. CoRR abs/2408.09765 (2024) - [i40]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:
Socially Responsible Data for Large Multilingual Language Models. CoRR abs/2409.05247 (2024) - 2023
- [c40]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: 12315-12349 - [c39]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: 14944-14982 - [c38]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: 1328-1340 - [c37]Li S. Yifei, Lyle H. Ungar, João Sedoc:
Conceptor-Aided Debiasing of Large Language Models. EMNLP 2023: 10703-10727 - [c36]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: 11346-11369 - [c35]Renyi Qu, Lyle H. Ungar, João Sedoc:
Conditioning on Dialog Acts improves Empathy Style Transfer. EMNLP (Findings) 2023: 13254-13271 - [c34]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra:
Linear Connectivity Reveals Generalization Strategies. ICLR 2023 - [c33]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: 511-525 - [i39]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 abs/2302.02064 (2023) - [i38]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 abs/2305.14533 (2023) - [i37]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 abs/2305.14757 (2023) - [i36]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 abs/2306.12794 (2023) - [i35]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 abs/2310.17017 (2023) - [i34]Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian:
Large Human Language Models: A Need and the Challenges. CoRR abs/2312.07751 (2023) - 2022
- [j2]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) - [c32]Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle H. Ungar:
Measuring the Language of Self-Disclosure across Corpora. ACL (Findings) 2022: 1035-1047 - [c31]Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc:
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. Insights@ACL 2022: 100-112 - [c30]Michelle H. Nguyen, João Sedoc, Casey Overby Taylor:
Piloting Family Health History Chatbot with Crowd-Sourced Data Collection. AMIA 2022 - [c29]Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle H. Ungar, João Sedoc:
Inducing Generalizable and Interpretable Lexica. EMNLP (Findings) 2022: 4430-4448 - [c28]Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc:
Automatic Document Selection for Efficient Encoder Pretraining. EMNLP 2022: 9522-9530 - [c27]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: 214-227 - [e4]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [e3]Jeremy Barnes, Orphée De Clercq, Valentin Barrière, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, Alexandra Balahur:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, WASSA@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-52-0 [contents] - [i33]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 abs/2205.11966 (2022) - [i32]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 abs/2205.12240 (2022) - [i31]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra:
Linear Connectivity Reveals Generalization Strategies. CoRR abs/2205.12411 (2022) - [i30]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (2022) - [i29]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 abs/2206.11249 (2022) - [i28]Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc:
Automatic Document Selection for Efficient Encoder Pretraining. CoRR abs/2210.10951 (2022) - [i27]Yifei Li, Lyle H. Ungar, João Sedoc:
Conceptor-Aided Debiasing of Contextualized Embeddings. CoRR abs/2211.11087 (2022) - [i26]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 abs/2212.10397 (2022) - 2021
- [j1]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: 168889-168898 (2021) - [c26]Shuang Gao, Shivani Pandya, Smisha Agarwal, João Sedoc:
Topic Modeling for Maternal Health Using Reddit. LOUHI@EACL 2021: 69-76 - [c25]Prasanna Parasurama, João Sedoc:
Gendered Language in Resumes - An Empirical Analysis of Gender Norm Violation and Hiring Outcomes. ICIS 2021 - [c24]Huda Khayrallah, João Sedoc:
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. NAACL-HLT 2021: 5659-5670 - [c23]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: 287-304 - [c22]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: 92-104 - [c21]Darren Edmonds, João Sedoc:
Multi-Emotion Classification for Song Lyrics. WASSA@EACL 2021: 221-235 - [e2]Orphée De Clercq, Alexandra Balahur, João Sedoc, Valentin Barrière, Shabnam Tafreshi, Sven Buechel, Véronique Hoste:
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EACL 2021, Online, April 19, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-18-3 [contents] - [i25]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 abs/2102.01672 (2021) - [i24]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 abs/2109.14199 (2021) - [i23]Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Automatic Evaluation and Moderation of Open-domain Dialogue Systems. CoRR abs/2111.02110 (2021) - [i22]Prasanna Parasurama, João Sedoc:
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring. CoRR abs/2112.08910 (2021) - [i21]Qi He, João Sedoc, Jordan Rodu:
Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees. CoRR abs/2112.11913 (2021) - 2020
- [c20]Huda Khayrallah, João Sedoc:
SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training. EMNLP (Findings) 2020: 4489-4505 - [c19]Seolhwa Lee, João Sedoc:
Using the Poly-encoder for a COVID-19 Question Answering System. NLP4COVID@EMNLP 2020 - [c18]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 - [c17]Nathaniel Weir, João Sedoc, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP (1) 2020: 5199-5211 - [c16]Patrick Xia, João Sedoc, Benjamin Van Durme:
Incremental Neural Coreference Resolution in Constant Memory. EMNLP (1) 2020: 8617-8624 - [c15]João Sedoc, Lyle H. Ungar:
Item Response Theory for Efficient Human Evaluation of Chatbots. Eval4NLP 2020: 21-33 - [c14]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC 2020: 1664-1673 - [e1]Anna Rogers, João Sedoc, Anna Rumshisky:
Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-66-8 [contents] - [i20]Patrick Xia, João Sedoc, Benjamin Van Durme:
Revisiting Memory-Efficient Incremental Coreference Resolution. CoRR abs/2005.00128 (2020) - [i19]Nathaniel Weir, João Sedoc, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. CoRR abs/2010.02882 (2020) - [i18]Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc:
Decoding Methods for Neural Narrative Generation. CoRR abs/2010.07375 (2020) - [i17]Seolhwa Lee, Heuiseok Lim, João Sedoc:
An Evaluation Protocol for Generative Conversational Systems. CoRR abs/2010.12741 (2020) - [i16]Huda Khayrallah, João Sedoc:
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. CoRR abs/2010.12786 (2020) - [i15]Huda Khayrallah, João Sedoc:
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. CoRR abs/2011.00547 (2020)
2010 – 2019
- 2019
- [c13]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI 2019: 6778-6785 - [c12]Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, Chris Callison-Burch:
Comparison of Diverse Decoding Methods from Conditional Language Models. ACL (1) 2019: 3752-3762 - [c11]Tianyuan Zhou, João Sedoc, Jordan Rodu:
Getting in Shape: Word Embedding SubSpaces. IJCAI 2019: 5478-5484 - [c10]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: 403-417 - [c9]João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch:
ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) 2019: 60-65 - [c8]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: 3137-3147 - [c7]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) 2019: 3274-3279 - [c6]Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch:
Anonymization of Sensitive Information in Medical Health Records. IberLEF@SEPLN 2019: 647-653 - [i14]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 abs/1904.02767 (2019) - [i13]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. CoRR abs/1904.09187 (2019) - [i12]Saket Karve, Lyle H. Ungar, João Sedoc:
Conceptor Debiasing of Word Representations Evaluated on WEAT. CoRR abs/1906.05993 (2019) - [i11]Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, Chris Callison-Burch:
Comparison of Diverse Decoding Methods from Conditional Language Models. CoRR abs/1906.06362 (2019) - [i10]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. CoRR abs/1912.01079 (2019) - 2018
- [c5]João Sedoc:
Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models. AAAI 2018: 8036-8037 - [c4]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. EMNLP 2018: 4758-4765 - [c3]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: 141-147 - [i9]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. CoRR abs/1808.10399 (2018) - [i8]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 abs/1810.10949 (2018) - [i7]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR abs/1811.11001 (2018) - [i6]Tianlin Liu, João Sedoc, Lyle H. Ungar:
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR abs/1811.11002 (2018) - 2017
- [c2]João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar:
Semantic Word Clusters Using Signed Spectral Clustering. ACL (1) 2017: 939-949 - [c1]João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar:
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. EACL (2) 2017: 564-571 - [i5]João Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle H. Ungar:
Deriving Verb Predicates By Clustering Verbs with Arguments. CoRR abs/1708.00416 (2017) - [i4]Grishma Jena, Mansi Vashisht, Abheek Basu, Lyle H. Ungar, João Sedoc:
Enterprise to Computer: Star Trek chatbot. CoRR abs/1708.00818 (2017) - [i3]Sajal Choudhary, Prerna Srivastava, Lyle H. Ungar, João Sedoc:
Domain Aware Neural Dialog System. CoRR abs/1708.00897 (2017) - [i2]João Sedoc, Aline Normoyle:
Seating Assignment Using Constrained Signed Spectral Clustering. CoRR abs/1708.00898 (2017) - 2016
- [i1]João Sedoc, Jean Gallier, Lyle H. Ungar, Dean P. Foster:
Semantic Word Clusters Using Signed Normalized Graph Cuts. CoRR abs/1601.05403 (2016)
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-21 20:29 CET by the dblp team
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