Abstract

Semantic parsing is a rich fusion of the logical and the statistical worlds.

Highlights

  • A long-standing goal of artificial intelligence (AI) is to build systems capable of understanding natural language

  • This article focuses on semantic parsing, an area within the field of natural language processing (NLP), which has been growing over the last decade

  • Semantic parsers map input utterances into semantic representations called logical forms that support this form of reasoning

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Summary

Introduction

A long-standing goal of artificial intelligence (AI) is to build systems capable of understanding natural language. For example: Context: Utterance: Action: knowledge of mathematics What is the largest prime less than 10? Mt. Elbrus user’s calendar Cancel all my meetings after 4pm tomorrow. This article focuses on semantic parsing, an area within the field of natural language processing (NLP), which has been growing over the last decade. Semantic parsers map input utterances into semantic representations called logical forms that support this form of reasoning. The first utterance above would map onto the logical form max(primes ∩ (−∞, 10)). We can think of the logical form as a program that is executed to yield the desired behavior (e.g., answering 7). The second utterance would map onto a database query; the third, onto an invocation of a calendar API

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