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  • 标题:Cooking Recipe Search by Pairs of Ingredient and Action —Word Sequence v.s. Flow-graph Representation—
  • 本地全文:下载
  • 作者:Yoko Yamakata ; Hirokuni Maeta ; Takuya Kadowaki
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2017
  • 卷号:12
  • 页码:71-79
  • DOI:10.11185/imt.12.71
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:

    This paper proposes a method for searching cooking recipes by a procedure such as “a tomato is fried.” Although most of methods for cooking recipe search treat recipe text as Bag-of-Words (BoW), it misdetects such a recipe that “fry an onion deeply and serve it with a tomato cube (in which the tomato is not heated).” Our method converts a procedural text to a flow-graph automatically in advance using a dependency parsing technique. In the flow-graph, action sequence that will be performed to an ingredient is easily extracted by tracing the path from the node corresponding to the ingredient to the root node corresponding to the last action. We evaluate our method comparing with a task adapted BoW model as a baseline and the proposed method achieved a precision of 68.8% while the baseline method achieved it of 61.5%.

  • 关键词:cooking recipe search;procedural text;flow-graph representation;procedural search
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