文章からの化学物質名を含む単語の認識法の確立と化学物質名 の選択法の検討-特許公開公報を用いて  [in Japanese] A Study for Recognition·Selection of Chemical Substance Name in Documents – Using Patent Documents  [in Japanese]

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Author(s)

Abstract

<p> 化学物質名は,多様であり,記載法も書き手に委ねられているため自動抽出が難しく化学知識の共有化を妨げている.化学物質名を自動抽出できれば,共有化に役立つ.日本語の化学物質名を抽出するために,化学物質名をタグ付けした特許公開公報のコーパスの作成を行い,文章から形態素の切り出し,切り出した形態素の連結をすることによる化学物質名の認識法を確立した.あわせて連結した単語群から化学物質名を選択する方法の基礎的な検討,及び化学物質名と間違えやすい置換基名との選択比較も行った.</p>

<p> The chemical substance names described have various descriptions and the description of the name depends on the author. Such variation causes hindering information sharing of chemical knowledge. Auto-extraction of chemical substance names is useful for information sharing. In order to find a method for extracting the names of chemical substances in Japanese documents, we created a corpus of patent documents tagged with chemical substance names. We studied cutting out words from sentences and recognized chemical substance names by concatenating cut-out words using the part of speech information. We also studied selecting chemical substance names from concatenated cut-out words and made a selection comparison between chemical substance names and functional group names that are similar to chemical substance names.</p>

Journal

  • Joho Chishiki Gakkaishi

    Joho Chishiki Gakkaishi 29(3), 238-246, 2019

    Japan Society of Information and Knowledge

Codes

  • NII Article ID (NAID)
    130007745932
  • NII NACSIS-CAT ID (NCID)
    AN10459774
  • Text Lang
    JPN
  • Article Type
    journal article
  • ISSN
    0917-1436
  • NDL Article ID
    030052862
  • NDL Call No.
    Z14-1782
  • Data Source
    NDL  IR  J-STAGE 
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