Papers by Juan Gómez-Romero

1 papers
Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain (2021.eacl-srw)

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Challenge: Recent work in food computing focus on generating new recipes from scratch . however, there are a large number of new recipes generated daily with user reviews .
Approach: They propose to use word embedding models to capture the semantic meaning of recipe ingredients and use them to enrich their data.
Outcome: The proposed engine will use food data to modify a recipe to fit user preferences.

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