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Unsupervised Learning of Graph from Recipes
We iteratively learn the graph structure and the parameters of a $\mathsf{GNN}$ encoding the texts (text-to-graph) one sequence at a time while providing the supervision by decoding the graph into text (graph-to-text) and comparing the generated text to the input.
PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes
Decoding the core of procedural texts, exemplified by cooking recipes, is crucial for intelligent reasoning and instruction automation.
A Graphical Formalism for Commonsense Reasoning with Recipes
Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework.
Unsupervised Alignment of Distributional Word Embeddings
Cross-domain alignment play a key roles in tasks ranging from machine translation to transfer learning.
Learning Analogy-Preserving Sentence Embeddings for Answer Selection
Answer selection aims at identifying the correct answer for a given question from a set of potentially correct answers.
