Answer Clustering and Fusion in a User-Interactive Question Answering System
Project: Research
Researcher(s)
- Wenyin LIU (Principal Investigator / Project Coordinator)Multimedia Software Engineering Research Centre
Description
In this project, the need for answer clustering and fusion in a user-interactive question answering (QA) system is identified and its user interface and enabling technology are presented. This function aims to help a user to efficiently browse all the answers and find the correct answer to a specific question by clustering answers into groups and providing a representative (fused) answer for each group. The clustering approach proposed includes a measurement of semantic similarity between answers and an incremental soft-moVMF algorithm. An answer fusion method is proposed, which uses concept vector and authority of data sources to extract the summary for the answers in each cluster.Detail(s)
Project number | 7002137 |
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Grant type | SRG |
Status | Finished |
Effective start/end date | 1/04/07 → 28/10/09 |