Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference

• Main Authors: DENG, Yang, ZHANG, Wenxuan, XU, Weiwen, SHEN, Ying, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Non-factoid Question Answering; Query-focused Summarization; Graph Neural Network; Multi-hop Reasoning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9089; https://ink.library.smu.edu.sg/context/sis_research/article/10092/viewcontent/bf180a72_6159_43d4_bf29_b6cae95a308a.pdf
• Institution: Singapore Management University

Nonfactoid question answering (QA) is one of the most extensive yet challenging applications and research areas in natural language processing (NLP). Existing methods fall short of handling the long-distance and complex semantic relations between the question and the document sentences. In this work...