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2022.findings-emnlp

ConvKBQA
ellipsis and coreference pose
rewrite-and-reason framework
single-turn KBQA models
knowledge-augmented self-training mechanism
QA process
retrieval-based or semantic parsing-based KBQA models
conversational applications
online customer service systems
intelligent personal assistants

2022

Natural Language Interfaces

1 papers

Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering (2022.findings-emnlp)

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Xirui Ke, Jing Zhang, Xin Lv, Yiqi Xu, Shulin Cao, Cuiping Li, Hong Chen, Juanzi Li

Natural Language Interfaces

Challenge:	Recent rise of conversational applications has promoted the development of conversation KBQA (ConvKBQA).
Approach:	They propose a framework to produce a full-fledged rewritten question based on conversation history and then reason the answer by existing single-turn KBQA models.
Outcome:	The proposed framework produces a full-fledged rewritten question based on the conversation history and reasoned the answer by existing single-turn KBQA models.

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