UMass Machine Learning and Friends Lunch | Main / Learning To Map Sentences To Logical Form

Recent research has focused on the problem of learning to map natural language sentences to semantic representations of their underlying meaning. In this talk, I will present an online algorithm that learns a weighted combinatory categorial grammar (CCG) which is used to parse sentences to a lambda-calculus meaning representation. In particular, I will focus on recent work that addresses the challenge of parsing spontaneous, unedited natural language input which is commonly seen in dialogue domains such as ATIS travel planning. Finally, I will briefly discuss current research on developing a data set and learning algorithm for context-dependent parsing to logical form.