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On Term Selection Techniques for Patent Prior Art Search

Golestan Far, Mona; Sanner, Scott; Bouadjenek, Mohamed Reda; Ferraro, Gabriela; Hawking, David

Description

In this paper, we investigate the influence of term selection on retrieval performance on the CLEF-IP prior art test collection, using the Description section of the patent query with Language Model (LM) and BM25 scoring functions. We find that an oracular relevance feedback system that extracts terms from the judged relevant documents far outperforms the baseline and performs twice as well on MAP as the best competitor in CLEF-IP 2010. We find a very clear term selection value threshold for...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
URI: http://hdl.handle.net/1885/103764
Source: On Term Selection Techniques for Patent Prior Art Search
DOI: 10.1145/2766462.2767801

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