Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Special Paper
Cooking Recipe Search by Pairs of Ingredient and Action —Word Sequence v.s. Flow-graph Representation—
Yoko YamakataHirokuni MaetaTakuya KadowakiTetsuro SasadaShinji ImahoriShinsuke Mori
Author information
JOURNAL FREE ACCESS

2017 Volume 32 Issue 1 Pages WII-F_1-9

Details
Abstract

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%.

Content from these authors
© The Japanese Society for Artificial Intelligence 2016
Previous article Next article
feedback
Top