Exploring Chart Question Answering for Blind and Low Vision Users-Reference-Cited by-同舟云学术

Exploring Chart Question Answering for Blind and Low Vision Users

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Kim Jiho¹^ORCID,Srinivasan Arjun²^ORCID,Kim Nam Wook³^ORCID,Kim Yea-Seul¹^ORCID

Affiliation:

1. Computer Sciences, University of Wisconsin-Madison, United States

2. Tableau Research, United States

3. Computer Science, Boston College, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3581532

Reference93 articles.

1. Asma Ben Abacha and Pierre Zweigenbaum . 2015 . MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies. Information processing & management 51, 5 (2015), 570–594. Asma Ben Abacha and Pierre Zweigenbaum. 2015. MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies. Information processing & management 51, 5 (2015), 570–594.

2. Shanza Abbas , Muhammad Umair Khan , Scott Uk-Jin Lee , Asad Abbas, and Ali Kashif Bashir. 2022 . A Review of NLIDB with Deep Learning : Findings, Challenges and Open Issues. IEEE Access ( 2022). Shanza Abbas, Muhammad Umair Khan, Scott Uk-Jin Lee, Asad Abbas, and Ali Kashif Bashir. 2022. A Review of NLIDB with Deep Learning: Findings, Challenges and Open Issues. IEEE Access (2022).

3. "Siri Talks at You"

4. Low-level components of analytic activity in information visualization

5. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

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