Learning executable semantic parsers for natural language understanding-Reference-Cited by-同舟云学术

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Learning executable semantic parsers for natural language understanding

Published:2016-08-24 Issue:9 Volume:59 Page:68-76
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Liang Percy¹

Affiliation:

1. Stanford University, Stanford, CA

Abstract

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

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2866568

Reference39 articles.

1. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions

2. Semantic Parsing via Paraphrasing

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