Layout-Aware Information Extraction for Document-Grounded Dialogue-Reference-Cited by-同舟云学术

Layout-Aware Information Extraction for Document-Grounded Dialogue

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Zhang Zhenyu¹,Yu Bowen²,Yu Haiyang³,Liu Tingwen⁴,Fu Cheng³,Li Jingyang³,Tang Chengguang³,Sun Jian³,Li Yongbin³

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. DAMO Academy, Alibaba Group & Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. DAMO Academy, Alibaba Group, Beijing, China

4. Institute of Information Engineering, Chinese Academy of Sciences & School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Key Research and Development Program of China

Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548765

Reference44 articles.

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2. DoQA - Accessing Domain-Specific FAQs via Conversational QA

3. Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers

4. Building Goal-oriented Document-grounded Dialogue Systems

5. Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation

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