@inproceedings{yoshikawa-etal-2017-ccg,
title = "{A}* {CCG} Parsing with a Supertag and Dependency Factored Model",
author = "Yoshikawa, Masashi and
Noji, Hiroshi and
Matsumoto, Yuji",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-1026",
doi = "10.18653/v1/P17-1026",
pages = "277--287",
abstract = "We propose a new A* CCG parsing model in which the probability of a tree is decomposed into factors of CCG categories and its syntactic dependencies both defined on bi-directional LSTMs. Our factored model allows the precomputation of all probabilities and runs very efficiently, while modeling sentence structures explicitly via dependencies. Our model achieves the state-of-the-art results on English and Japanese CCG parsing.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yoshikawa-etal-2017-ccg">
<titleInfo>
<title>A* CCG Parsing with a Supertag and Dependency Factored Model</title>
</titleInfo>
<name type="personal">
<namePart type="given">Masashi</namePart>
<namePart type="family">Yoshikawa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hiroshi</namePart>
<namePart type="family">Noji</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yuji</namePart>
<namePart type="family">Matsumoto</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2017-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Regina</namePart>
<namePart type="family">Barzilay</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Min-Yen</namePart>
<namePart type="family">Kan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Vancouver, Canada</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>We propose a new A* CCG parsing model in which the probability of a tree is decomposed into factors of CCG categories and its syntactic dependencies both defined on bi-directional LSTMs. Our factored model allows the precomputation of all probabilities and runs very efficiently, while modeling sentence structures explicitly via dependencies. Our model achieves the state-of-the-art results on English and Japanese CCG parsing.</abstract>
<identifier type="citekey">yoshikawa-etal-2017-ccg</identifier>
<identifier type="doi">10.18653/v1/P17-1026</identifier>
<location>
<url>https://aclanthology.org/P17-1026</url>
</location>
<part>
<date>2017-07</date>
<extent unit="page">
<start>277</start>
<end>287</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T A* CCG Parsing with a Supertag and Dependency Factored Model
%A Yoshikawa, Masashi
%A Noji, Hiroshi
%A Matsumoto, Yuji
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F yoshikawa-etal-2017-ccg
%X We propose a new A* CCG parsing model in which the probability of a tree is decomposed into factors of CCG categories and its syntactic dependencies both defined on bi-directional LSTMs. Our factored model allows the precomputation of all probabilities and runs very efficiently, while modeling sentence structures explicitly via dependencies. Our model achieves the state-of-the-art results on English and Japanese CCG parsing.
%R 10.18653/v1/P17-1026
%U https://aclanthology.org/P17-1026
%U https://doi.org/10.18653/v1/P17-1026
%P 277-287
Markdown (Informal)
[A* CCG Parsing with a Supertag and Dependency Factored Model](https://aclanthology.org/P17-1026) (Yoshikawa et al., ACL 2017)
ACL
- Masashi Yoshikawa, Hiroshi Noji, and Yuji Matsumoto. 2017. A* CCG Parsing with a Supertag and Dependency Factored Model. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 277–287, Vancouver, Canada. Association for Computational Linguistics.