Lexical issues of a syntactic approach to interactive patent retrieval

Authors:
Eva D'hondt
Affiliations:
Centre for Language and Speech Technology, Radboud University Nijmegen, The Netherlands
Venue:
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Year:
2009

Citing 3
Cited 1

Proposal of two-stage patent retrieval method considering the claim structure

ACM Transactions on Asian Language Information Processing (TALIP)
Toward a more rational patent search paradigm

Proceedings of the 1st ACM workshop on Patent information retrieval
Towards designing natural language interfaces

CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing

A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field

Scientometrics

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Abstract

Patent retrieval is an information retrieval task that poses very specific characteristics and demands. Especially the need for high recall is very important to patent searchers. In the ongoing research project TM4IP, we aim to improve patent retrieval by developing an open-domain patent retrieval system based on linguistic knowledge. By using Dependency Triplets as index terms our system aims to improve precision and recall compared to keyword-based approaches. One of the cornerstones of a syntactic approach to Information Retrieval is normalisation. This paper describes some of the characteristics of the patent domain that influence lexical normalisation.