Predicting the structure of cooking recipes

Jermsak Jermsurawong; Nizar Habash

doi:10.18653/v1/d15-1090

Predicting the structure of cooking recipes

Jermsak Jermsurawong, Nizar Habash

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cooking recipes exist in abundance; but due to their unstructured text format, they are hard to study quantitatively beyond treating them as simple bags of words. In this paper, we propose an ingredientinstruction dependency tree data structure to represent recipes. The proposed representation allows for more refined comparison of recipes and recipe-parts, and is a step towards semantic representation of recipes. Furthermore, we build a parser that maps recipes into the proposed representation. The parser's edge prediction accuracy of 93.5% improves over a strong baseline of 85.7% (54.5% error reduction).

Original language	English (US)
Title of host publication	Conference Proceedings - EMNLP 2015
Subtitle of host publication	Conference on Empirical Methods in Natural Language Processing
Publisher	Association for Computational Linguistics (ACL)
Pages	781-786
Number of pages	6
ISBN (Electronic)	9781941643327
DOIs	https://doi.org/10.18653/v1/d15-1090
State	Published - 2015
Event	Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Lisbon, Portugal Duration: Sep 17 2015 → Sep 21 2015

Publication series

Name	Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

Other

Other	Conference on Empirical Methods in Natural Language Processing, EMNLP 2015
Country/Territory	Portugal
City	Lisbon
Period	9/17/15 → 9/21/15

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems

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10.18653/v1/d15-1090

Cite this

Jermsurawong, J., & Habash, N. (2015). Predicting the structure of cooking recipes. In Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing (pp. 781-786). (Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d15-1090

Predicting the structure of cooking recipes. / Jermsurawong, Jermsak; Habash, Nizar.

Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), 2015. p. 781-786 (Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jermsurawong, J & Habash, N 2015, Predicting the structure of cooking recipes. in Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing. Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL), pp. 781-786, Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, 9/17/15. https://doi.org/10.18653/v1/d15-1090

Jermsurawong J, Habash N. Predicting the structure of cooking recipes. In Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL). 2015. p. 781-786. (Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing). doi: 10.18653/v1/d15-1090

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Predicting the structure of cooking recipes

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