Explainable Conversational Question Answering over Heterogeneous Sources
Page 3499
Abstract
State-of-the-art conversational question answering (ConvQA) operates over homogeneous sources of information: either a knowledge base (KB), or a text corpus, or a collection of tables. This inherently limits the answer coverage of ConvQA systems. Therefore, during my PhD, we would like to tap into heterogeneous sources for answering conversational questions. Further, we plan to investigate the explainability of such ConvQA systems, to identify what helps users in understanding the answer derivation process.
References
[1]
Philipp Christmann, Rishiraj Saha Roy, and Gerhard Weikum. 2022. Conversational Question Answering on Heterogeneous Sources. In SIGIR.
[2]
Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, and Gerhard Weikum. 2019. Look before you hop: Conversational question answering over knowledge graphs using judicious context expansion. In CIKM.
[3]
Hsin-Yuan Huang, Eunsol Choi, and Wen-tau Yih. 2018. FlowQA: Grasping Flow in History for Conversational Machine Comprehension. In ICLR.
[4]
Magdalena Kaiser, Rishiraj Saha Roy, and Gerhard Weikum. 2021. Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs. In SIGIR.
[5]
Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, and Yasemin Altun. 2019. Answering Conversational Questions on Structured Data without Logical Forms. In EMNLP-IJCNLP.
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Rishiraj Saha Roy and Avishek Anand. 2021. Question Answering for the Curated Web: Tasks and Methods in QA over Knowledge Bases and Text Collections. M&C.
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Tao Shen, Xiubo Geng, QIN Tao, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, and Daxin Jiang. 2019. Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. In EMNLP-IJCNLP.
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Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, and Raviteja Anantha. 2021. Question rewriting for conversational question answering. In WSDM.
Index Terms
- Explainable Conversational Question Answering over Heterogeneous Sources
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July 2022
3569 pages
ISBN:9781450387323
DOI:10.1145/3477495
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- Pablo Castells,
- Julio Gonzalo,
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Published: 07 July 2022
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