COMPA: Using Conversation Context to Achieve Common Ground in AAC-Reference-Cited by-同舟云学术

COMPA: Using Conversation Context to Achieve Common Ground in AAC

Published:2024-05-11 Issue: Volume:20 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
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Author:

Valencia Stephanie¹^ORCID,Huynh Jessica²^ORCID,Jiang Emma Y³^ORCID,Wu Yufei³^ORCID,Wan Teresa³^ORCID,Zheng Zixuan³^ORCID,Admoni Henny⁴^ORCID,Bigham Jeffrey P⁵^ORCID,Pavel Amy⁶^ORCID

Affiliation:

1. Human-computer Interaction Institute, Carnegie Mellon University, United States and College of Information Studies, University of Maryland, United States

2. Language Technologies Institute, Carnegie Mellon University, United States

3. Carnegie Mellon University, United States

4. Robotics Institute, Carnegie Mellon University, United States

5. Human-Computer Interaction Institute, Carnegie Mellon University, United States

6. Department of Computer Science, University of Texas, Austin, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642762

Reference53 articles.

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4. Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith R Morris, and Michael P Brenner. 2022. Context-Aware Abbreviation Expansion Using Large Language Models. arXiv preprint arXiv:2205.03767 (2022).

5. TalkTraces