15 citations · 24 across the 5 of their papers we have counts for
5 papers
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
Longpeng Qiu, Ting Li, Shuai Mao +2
Input errors in question-answering (QA) systems often lead to incorrect responses. Large language models (LLMs) struggle with this task, frequently failing to interpret user intent…
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN
Pan Du, Jian-Yun Nie, Yutao Zhu +3
Beyond topical relevance, passage ranking for open-domain factoid question answering also requires a passage to contain an answer (answerability). While a few recent studies have i…
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
Ye Liu, Chenwei Zhang, Xiaohui Yan +2
In real-world question-answering (QA) systems, ill-formed questions, such as wrong words, ill word order, and noisy expressions, are common and may prevent the QA systems from unde…
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Peng Wu, Shujian Huang, Rongxiang Weng +4
Relation detection is a core step in many natural language process applications including knowledge base question answering. Previous efforts show that single-fact questions could…
Zero-shot User Intent Detection via Capsule Neural Networks
Congying Xia, Chenwei Zhang, Xiaohui Yan +2
User intent detection plays a critical role in question-answering and dialog systems. Most previous works treat intent detection as a classification problem where utterances are la…