2017年
Cooking recipe search by pairs of ingredient and action — Word sequence v.s. flow-graph representation —
Transactions of the Japanese Society for Artificial Intelligence
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- 巻
- 32
- 号
- 1
- 開始ページ
- 1
- 終了ページ
- 9
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1527/tjsai.WII-F
- 出版者・発行元
- Japanese Society for Artificial Intelligence
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%.
- リンク情報
- ID情報
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- DOI : 10.1527/tjsai.WII-F
- ISSN : 1346-8030
- ISSN : 1346-0714
- SCOPUS ID : 85010441103