手がかり句を用いた特許請求項の構造解析  [in Japanese] Structure Analysis of Japanese Patent Claims Using Cue Phrases  [in Japanese]

Access this Article

Search this Article

Author(s)

Abstract

特許の内容を記述する「特許明細書」において最も重要な箇所は,「特許請求項」(クレーム)の部分である.日本語の特許請求項の多くは,1文で発明内容を記述するという制約と,その 独特の記述形式により,専門家以外の人にとってはきわめて読みにくいものになっている.本稿では,特許請求項の可読性を向上させることを目的とした,構造解析手法を提案する.まず,文献調査と予備調査の結果に基づいて,特許請求項の構造を表現するための枠組みを提案する.次に,この枠組みに基づいて,特許請求項の構造を自動解析する手法を提案する.自動解析においては,実際の特許請求項記述で多用される,いくつかの定型的表現を手がかりとして利用する.大規模テキストコレクションであるNTCIR3特許データコレクションのデータを用いて提案手法の評価を行い,間接評価と直接評価により本手法の有効性を示した.The most important part of patent specification documents is where the claims are written. It is common that claims written in Japanese are described inone sentence with peculiar style and are difficult to understand forordinary people. In this paper, we propose a method to analyze the structure ofpatent claims for the purpose of improving readability.First, based on the result of literature survey and preliminary study,we propose a framework to represent the structure of patent claims. Next, based on this framework we propose a method to automatically analyze the structure of patent claims.This method utilizes several cue phrases which are used in patentclaim descriptions. By using the NTCIR3 patent data collection, we show the effectivenessof our proposal through indirect and direct evaluation.

The most important part of patent specification documents is where the claims are written. It is common that claims written in Japanese are described in one sentence with peculiar style and are dimcult to understand for ordinary people. In this paper, we propose a method to analyze the structure of patent claims for the purpose of improving readability. First, based on the result of literature survey and preliminary study, we propose a framework to represent the structure 6f patent claims. Next, based on this framework we propose a method to automatically analyze the structure of patent claims. This method utilizes several cue phrases which are used in patent claim descriptions. By using the NTCIR3 patent data collection, we show the effectiveness of our proposal through indirect and direct evaluation.

Journal

  • IPSJ journal

    IPSJ journal 45(3), 891-905, 2004-03-15

    Information Processing Society of Japan (IPSJ)

References:  21

Cited by:  13

Codes

  • NII Article ID (NAID)
    110002712140
  • NII NACSIS-CAT ID (NCID)
    AN00116647
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1882-7764
  • NDL Article ID
    6885205
  • NDL Source Classification
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No.
    Z14-741
  • Data Source
    CJP  CJPref  NDL  NII-ELS  IPSJ 
Page Top