Jul 4, 2012 · Abstract:This paper addresses the problem of mapping natural language sentences to lambda-calculus encodings of their meaning.
Our algorithm automatically induces a grammar that maps sentences to logical form, along with a probabilistic model that assigns a distribution over parses ...
This paper addresses the problem of mapping natural language sentences to lambda–calculus encodings of their meaning. We describe a learning algorithm that ...
This thesis presents new techniques for learning to map sentences to logical form - lambda-calculus representations of their meanings. We first describe an ...
Fails to parse 10% of training examples. Some unparsed examples include: • Through which states does the Mississippi run? • If I moved to California and learned ...
In general, the mapping from a sentence and a con- text to a logical form can be quite complex. In this section, we present an overview of our learning approach ...
A learning algorithm is described that takes as input a training set of sentences labeled with expressions in the lambda calculus and induces a grammar for ...
Learning to Map Sentences to Logical Form
Book by Luke S. Zettlemoyer
One of the classical goals of research in artificial intelligence is to construct systems that automatically recover the meaning of natural language text. Machine learning methods hold significant potential for addressing many of the challenges... Google Books
Originally published: December 28, 2011
Author: Luke S. Zettlemoyer
This paper addresses the problem of mapping natural language sentences to lambda-calculus encodings of their meaning. We describe a learning algorithm that ...
Jul 25, 2023 · His work spans machine learning and NLP, including foundational work in large-scale self-supervised pretraining of language models. Luke's PhD ...
This paper addresses the problem of learning to map Chinese sentences to logical forms. The training data consist of Chinese natural language sentences ...