An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based QA

时间:2022-08-29 09:06:43
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文件名称:An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based QA

文件大小:1.46MB

文件格式:PDF

更新时间:2022-08-29 09:06:43

KG

In relation extraction for knowledge-based question answering, searching from one entity to another entity via a single relation is called “one hop”. In related work, an exhaustivesearchfromallone-hoprelations,two-hop relations,andsoontothemax-hoprelationsin the knowledge graph is necessary but expensive. Therefore, the number of hops is generally restricted to two or three. In this paper, we propose UHop, an unrestricted-hop framework which relaxes this restriction by use of a transition-based search framework to replace the relation-chain-based search one. We conduct experiments on conventional 1- and 2hop questions aswell as lengthy questions, including datasets such as WebQSP, PathQuestion, and Grid World. Results show that the proposed framework enables the ability to halt, works well with state-of-the-art models, achieves competitive performance without exhaustive searches, and opens the performance gap for long relation paths.


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