  In recent years, there has been an increase in the number of devices with
virtual assistants (e.g: Siri, Google Home, Alexa) in our living rooms and
kitchens. As a result of this, these devices receive several queries about
recipes. All these queries will contain terms relating to a "recipe-domain"
i.e: they will contain dish-names, ingredients, cooking times, dietary
preferences etc. Extracting these recipe-relevant aspects from the query thus
becomes important when it comes to addressing the user's information need. Our
project focuses on extracting ingredients from such plain-text user utterances.
Our best performing model was a fine-tuned BERT which achieved an F1-score of
$95.01$. We have released all our code in a GitHub repository.
