Variables Extraction in Natural (English) Language Through Possessive Relationships

• MIURA Danilo Eidy

  The University of Tokyo

• HAYASHI Teruaki

  The University of Tokyo

• OHSAWA Yukio

  The University of Tokyo

抄録

The already highlighted importance of the ‘flow’ of data in the Market of Data brings needs of development of ways to better ex- plore the utilization of data. Aware of the existence of rich knowledge stored and shared in text format, this paper aims to propose a form of representation of variable names that can be identified in natural language written knowledge. With the use of possessive relationships between words in Noun Phrases, we supported the representation of variable name relating a variable to a thing or event. A simple experiment was performed to demonstrate the efficacy of the proposed representation supported by Data Jacket Store, where we can find well-form variable names under the name of Variable Labels.

収録刊行物

• 人工知能学会全国大会論文集

  人工知能学会全国大会論文集 JSAI2019 (0), 1K4E103-1K4E103, 2019

  一般社団法人 人工知能学会

キーワード

• Knowledge Representation
• Named Entity Recognition
• Data Jacket Store

詳細情報

• CRID: 1390845702325635072
• NII論文ID: 130007658366
• DOI: 10.11517/pjsai.jsai2019.0_1k4e103
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可