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  1. Proceedings of the 2nd international workshop on Patent information retrieval (PaIR '09)
  2. Automatic translation of scholarly terms into patent terms
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A case for probabilistic logic for scalable patent retrieval
Ontologies and semantic mining for bio-technology and chemistry data and patents
Extracting problem solved concepts from patent documents
Identification of low/high retrievable patents using content-based features
Phrase-based document categorization revisited
Interactive constrained clustering for patent document set
A design rationale representation model using patent documents
Automatic translation of scholarly terms into patent terms
Using normalized alignment scores to detect incorrectly aligned segments
On the role of classification in patent invalidity searches
Patent claim decomposition for improved information extraction
FindCite: automatically finding prior art patents

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Automatic translation of scholarly terms into patent terms

Content Provider ACM Digital Library
Author Shinmori, Akihiro Nanba, Hidetsugu Okumura, Manabu Kamaya, Hideaki Takezawa, Toshiyuki Tanigawa, Hidekazu
Abstract For a researcher in a field with high industrial relevance, retrieving research papers and patents has become an important aspect of assessing the scope of the field. However, retrieving patents using keywords is a laborious task for researchers, because the terms used in patents are often more abstract than those used in research papers, to try to widen the scope of the claims. We propose two methods for translating scholarly terms into patent terms: the "citation-based method" and the "thesaurus-based method". We also propose a method combining these two with the existing "Mase's method". To confirm the effectiveness of our methods, we conducted some examinations, and found that the combined method performed the best.
Starting Page 21
Ending Page 24
Page Count 4
File Format PDF
ISBN 9781605588094
DOI 10.1145/1651343.1651348
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Thesaurus Cross-genre ir Research paper Patent Citation
Content Type Text
Resource Type Article
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