Conversational Question Answering on Heterogeneous Sources-Reference-Cited by-同舟云学术

Conversational Question Answering on Heterogeneous Sources

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Christmann Philipp¹,Saha Roy Rishiraj¹,Weikum Gerhard¹

Affiliation:

1. Max Planck Institute for Informatics, Saarbrücken, Germany

Funder

ERC Synergy Grant imPACT

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531815

Reference58 articles.

1. Sören Auer Christian Bizer Georgi Kobilarov Jens Lehmann Richard Cyganiak and Zachary Ives. 2007. DBpedia: A nucleus for a Web of open data. In Sem. Web . Sören Auer Christian Bizer Georgi Kobilarov Jens Lehmann Richard Cyganiak and Zachary Ives. 2007. DBpedia: A nucleus for a Web of open data. In Sem. Web .

2. Danqi Chen Adam Fisch Jason Weston and Antoine Bordes. 2017. Reading Wikipedia to Answer Open-Domain Questions. In ACL . Danqi Chen Adam Fisch Jason Weston and Antoine Bordes. 2017. Reading Wikipedia to Answer Open-Domain Questions. In ACL .

3. Wenhu Chen Ming-Wei Chang Eva Schlinger William Wang and William W Cohen. 2021. Open question answering over tables and text. In ICLR . Wenhu Chen Ming-Wei Chang Eva Schlinger William Wang and William W Cohen. 2021. Open question answering over tables and text. In ICLR .

4. Wenhu Chen Hanwen Zha Zhiyu Chen Wenhan Xiong Hong Wang and William Yang Wang. 2020 b. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. In EMNLP . Wenhu Chen Hanwen Zha Zhiyu Chen Wenhan Xiong Hong Wang and William Yang Wang. 2020 b. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. In EMNLP .

5. Yu Chen , Lingfei Wu , and Mohammed J Zaki. 2020 a. GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. In IJCAI . Yu Chen, Lingfei Wu, and Mohammed J Zaki. 2020 a. GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. In IJCAI .

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DANTE: Dialog graph enhanced prompt learning for conversational question answering over KGs;Knowledge-Based Systems;2024-10

2. Dialogue agents 101: a beginner’s guide to critical ingredients for designing effective conversational systems;Natural Language Processing;2024-09-09

3. Uniqorn: Unified question answering over RDF knowledge graphs and natural language text;Journal of Web Semantics;2024-09

4. Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

5. Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph;Proceedings of the ACM Web Conference 2024;2024-05-13