DeepAI AI Chat
Log In Sign Up

50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts

by   Moran Mizrahi, et al.

The web is full of guidance on a wide variety of tasks, from changing the oil in your car to baking an apple pie. However, as content is created independently, a single task could have thousands of corresponding procedural texts. This makes it difficult for users to view the bigger picture and understand the multiple ways the task could be accomplished. In this work we propose an unsupervised learning approach for summarizing multiple procedural texts into an intuitive graph representation, allowing users to easily explore commonalities and differences. We demonstrate our approach on recipes, a prominent example of procedural texts. User studies show that our representation is intuitive and coherent and that it has the potential to help users with several sensemaking tasks, including adapting recipes for a novice cook and finding creative ways to spice up a dish.


Sentence Ordering using Recurrent Neural Networks

Modeling the structure of coherent texts is a task of great importance i...

Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System

We present NaturalOWL, a natural language generation system that produce...

Aligning Script Events with Narrative Texts

Script knowledge plays a central role in text understanding and is relev...

Simple-QE: Better Automatic Quality Estimation for Text Simplification

Text simplification systems generate versions of texts that are easier t...

Using Unlabeled Texts for Named-Entity Recognition

Named Entity Recognition (NER) poses the problem of learning with multip...

Transcript to Video: Efficient Clip Sequencing from Texts

Among numerous videos shared on the web, well-edited ones always attract...

Continual task learning in natural and artificial agents

How do humans and other animals learn new tasks? A wave of brain recordi...