Term importance for transformer-based QA retrieval : A case study of StackExchange

• Main Authors: TAN, Bryan Zhi Yang, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Information retrieval; Retrieval models; Retrieval ranking; Question-answering; Neural information retrieval; Term importance; Weighted late interaction; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/9855; https://ink.library.smu.edu.sg/context/sis_research/article/10855/viewcontent/webconf24shp__1_.pdf
• Institution: Singapore Management University

Question-answering (QA) retrieval is the task of retrieving the most relevant answer to a given question from a collection of answers. Various approaches to QA retrieval have been developed recently. One successful and popular model is Contextualized Late Interaction over BERT (ColBERT), a transform...