Wen Dai — accepted AI-conference papers

2023

Dialogue Rewriting via Skeleton-Guided Generation

Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen, Wen Dai +3

AAAI 2023technical

Dialogue rewriting aims to transform multi-turn, context-dependent dialogues into well-formed, context-independent text for most NLP systems. Previous dialogue rewriting benchmarks and systems assume a fluent and informative utterance to rewrite. Unfortunately, dialogue utterances from real-world sy…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

Pay More Attention to Relation Exploration for Knowledge Base Question Answering

Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang +2

ACL 2023findings

Knowledge base question answering (KBQA) is a challenging task that aims to retrieve correct answers from large-scale knowledge bases. Existing attempts primarily focus on entity representation and final answer reasoning, which results in limited supervision for this task. Moreover, the relations, w…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗