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| "paper_id": "2021", |
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| "date_generated": "2023-01-19T03:35:30.346680Z" |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "Welcome to the First Workshop on Bridging Human-Computer Interaction and Natural Language Processing!", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
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| "text": "The rapid advancement of natural language processing (NLP) research has led to a variety of applications spanning a wide range of domains. As NLP applications are being used by more people in their everyday lives, and are increasingly powered by data generated by people, it is more important than ever that NLP researchers and practitioners adopt and develop methods to incorporate people into their work in meaningful ways. Perspectives from human-computer interaction (HCI) can enable NLP researchers and practitioners to advance the field of NLP in ways that are aligned with people's needs, raising novel questions and research directions for both NLP and HCI.", |
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| "section": "Introduction", |
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| "text": "The workshop brings together researchers and practitioners from both disciplines to discuss shared research interests, highlight work at the intersection of these fields, and identify challenges and opportunities for productive interdisciplinary collaborations.", |
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| "section": "Introduction", |
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| "text": "We are delighted to present eighteen papers spanning reports of empirical work, research proposals, provocations, and surveys, along with seven non-archival papers to be presented at the workshop but not included in the proceedings. We would like to thank everyone who submitted their work to this workshop, as well as the program committee for their insightful feedback. We would also like to thank our invited speakers: Marti Hearst, Niloufar Salehi, and Burr Settles. ", |
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| "section": "Introduction", |
| "sec_num": null |
| } |
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| "title": "Samy Bengio and Niloufar Salehi Humans predictably fail to detect fake self-presentations generated by AI Benjamin Carson, Maurice Jakesch and Mor Naaman What Human Rationales Tell Us about Machine Explanations Indira Sen", |
| "authors": [ |
| { |
| "first": "Wesley", |
| "middle": [ |
| "Hanwen" |
| ], |
| "last": "Robertson", |
| "suffix": "" |
| }, |
| { |
| "first": "Timnit", |
| "middle": [], |
| "last": "Deng", |
| "suffix": "" |
| }, |
| { |
| "first": "Margaret", |
| "middle": [], |
| "last": "Gebru", |
| "suffix": "" |
| }, |
| { |
| "first": "Daniel", |
| "middle": [], |
| "last": "Mitchell", |
| "suffix": "" |
| }, |
| { |
| "first": "Michal", |
| "middle": [], |
| "last": "Liebling", |
| "suffix": "" |
| }, |
| { |
| "first": "Katherine", |
| "middle": [], |
| "last": "Lahav", |
| "suffix": "" |
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| { |
| "first": "Mark", |
| "middle": [], |
| "last": "Heller", |
| "suffix": "" |
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| { |
| "first": "", |
| "middle": [], |
| "last": "D\u00edaz", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "Three Directions for the Design of Human-Centered Machine Translation Samantha", |
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| "raw_text": "Three Directions for the Design of Human-Centered Machine Translation Samantha Robertson, Wesley Hanwen Deng, Timnit Gebru, Margaret Mitchell, Daniel Liebling, Michal Lahav, Katherine Heller, Mark D\u00edaz, Samy Bengio and Niloufar Salehi Humans predictably fail to detect fake self-presentations generated by AI Benjamin Carson, Maurice Jakesch and Mor Naaman What Human Rationales Tell Us about Machine Explanations Indira Sen, Mattia Samory, Fabian Floeck and Claudia Wagner", |
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| "title": "Marine Carpuat and Ge Gao Influenced by Stochastic Parrots: Does AI-Assisted Writing Change Users' Views? Yujie Shao, Maurice Jakesch and Mor Naaman Spaced Repetition Meets Representation Learning", |
| "authors": [ |
| { |
| "first": "Dennis", |
| "middle": [], |
| "last": "Owusu", |
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| "first": "Emily", |
| "middle": [], |
| "last": "Gong", |
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| "first": "Shaan", |
| "middle": [], |
| "last": "Chopra", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "An HCI+NLP Collaboration on Supporting Distributed Teamwork with Machine Translation Yongle Zhang", |
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| "raw_text": "An HCI+NLP Collaboration on Supporting Distributed Teamwork with Machine Translation Yongle Zhang, Dennis Owusu, Emily Gong, Shaan Chopra, Marine Carpuat and Ge Gao Influenced by Stochastic Parrots: Does AI-Assisted Writing Change Users' Views? Yujie Shao, Maurice Jakesch and Mor Naaman Spaced Repetition Meets Representation Learning Matthew Shu, Shi Feng and Jordan Boyd-Graber Wordcraft: a Human-AI Collaborative Editor for Story Writing Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif and Ann Yuan", |
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| "text": "Towards Hybrid Human-Machine Workflow for Natural Language Generation Neslihan Iskender, Tim Polzehl and Sebastian M\u00f6ller . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Spellchecking for Children in Web Search: a Natural Language Interface Case-study Casey Kennington, Jerry Alan Fails, Katherine Landau Wright and Maria Soledad Pera . . . . . . . . . 8" |
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