research-article

Automatic detection of treatment relationships for patent retrieval

Authors:

Aaron Chu,

Shigeyuki Sakurai,

Alfonso F. CardenasAuthors Info & Claims

PaIR '08: Proceedings of the 1st ACM workshop on Patent information retrieval

Pages 9 - 14

https://doi.org/10.1145/1458572.1458575

Published: 30 October 2008 Publication History

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Abstract

We devise a method for automatically detecting treatment relationships using lexico-syntactic patterns and its application to medical-oriented patent retrieval. This process for detecting treatment relationships involves finding lexico-syntactic patterns that are highly indicative of treatment relationships and also producing classification rules for those patterns.

This treatment relationship detection process is then used in a system to find treatment relationships based on a user query in a medical patent source. The query will consist of terms that the user wants to find in the subject or object of a treatment relationship. This is of great interest to both patent examiners and patent applicants as they search for prior art. Through the use of classification rules, this system was able to achieve a precision of 85.81% on a set of 20 test queries.

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Lupu MHanbury A(2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
https://dl.acm.org/doi/10.1561/1500000027
Krishnan ACardenas ASpringer DTait JHarris CLupu M(2010)Search for patents using treatment and causal relationshipsProceedings of the 3rd international workshop on Patent information retrieval10.1145/1871888.1871890(1-10)Online publication date: 26-Oct-2010
https://dl.acm.org/doi/10.1145/1871888.1871890

Index Terms

Automatic detection of treatment relationships for patent retrieval
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection

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PaIR '08: Proceedings of the 1st ACM workshop on Patent information retrieval

October 2008

48 pages

ISBN:9781605582566

DOI:10.1145/1458572

General Chair:
John Tait
Information Retrieval Facility, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 30 October 2008

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CIKM08: Conference on Information and Knowledge Management

October 30, 2008

California, Napa Valley, USA

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PaIR '08 Paper Acceptance Rate 7 of 13 submissions, 54%;

Overall Acceptance Rate 7 of 13 submissions, 54%

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Lupu MHanbury A(2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
https://dl.acm.org/doi/10.1561/1500000027
Krishnan ACardenas ASpringer DTait JHarris CLupu M(2010)Search for patents using treatment and causal relationshipsProceedings of the 3rd international workshop on Patent information retrieval10.1145/1871888.1871890(1-10)Online publication date: 26-Oct-2010
https://dl.acm.org/doi/10.1145/1871888.1871890

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Preliminary study into query translation for patent retrieval

A study on query expansion methods for patent retrieval

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Search for patents using treatment and causal relationships

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