Paper: Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs

ACL ID E12-1010
Title Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In Information Retrieval (IR) in general and Question Answering (QA) in particu- lar, queries and relevant textual content of- ten significantly differ in their properties and are therefore difficult to relate with tra- ditional IR methods, e.g. key-word match- ing. In this paper we describe an algorithm that addresses this problem, but rather than looking at it on a term matching/term re- formulation level, we focus on the syntac- tic differences between questions and rele- vant text passages. To this end we propose a novel algorithm that analyzes dependency structures of queries and known relevant text passages and acquires transformational patterns that can be used to retrieve rele- vant textual content. We evaluate our algo- rithm in a QA setting, and show that it out- performs a basel...