@article{reddy-etal-2014-large,
title = "Large-scale Semantic Parsing without Question-Answer Pairs",
author = "Reddy, Siva and
Lapata, Mirella and
Steedman, Mark",
journal = "Transactions of the Association for Computational Linguistics",
volume = "2",
year = "2014",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q14-1030",
doi = "10.1162/tacl_a_00190",
pages = "377--392",
abstract = "In this paper we introduce a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs. Our key insight is to represent natural language via semantic graphs whose topology shares many commonalities with Freebase. Given this representation, we conceptualize semantic parsing as a graph matching problem. Our model converts sentences to semantic graphs using CCG and subsequently grounds them to Freebase guided by denotations as a form of weak supervision. Evaluation experiments on a subset of the Free917 and WebQuestions benchmark datasets show our semantic parser improves over the state of the art.",
}
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%0 Journal Article
%T Large-scale Semantic Parsing without Question-Answer Pairs
%A Reddy, Siva
%A Lapata, Mirella
%A Steedman, Mark
%J Transactions of the Association for Computational Linguistics
%D 2014
%V 2
%I MIT Press
%C Cambridge, MA
%F reddy-etal-2014-large
%X In this paper we introduce a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs. Our key insight is to represent natural language via semantic graphs whose topology shares many commonalities with Freebase. Given this representation, we conceptualize semantic parsing as a graph matching problem. Our model converts sentences to semantic graphs using CCG and subsequently grounds them to Freebase guided by denotations as a form of weak supervision. Evaluation experiments on a subset of the Free917 and WebQuestions benchmark datasets show our semantic parser improves over the state of the art.
%9 journal article
%R 10.1162/tacl_a_00190
%U https://aclanthology.org/Q14-1030
%U https://doi.org/10.1162/tacl_a_00190
%P 377-392
Markdown (Informal)
[Large-scale Semantic Parsing without Question-Answer Pairs](https://aclanthology.org/Q14-1030) (Reddy et al., TACL 2014)
ACL