@inproceedings{bailly-gabor-2020-emergence,
title = "Emergence of Syntax Needs Minimal Supervision",
author = {Bailly, Rapha{\"e}l and
G{\'a}bor, Kata},
editor = "Jurafsky, Dan and
Chai, Joyce and
Schluter, Natalie and
Tetreault, Joel",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.46/",
doi = "10.18653/v1/2020.acl-main.46",
pages = "477--487",
abstract = "This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics information. We describe the formal characteristics of an autonomous syntax and show that it becomes possible to search for syntax-based lexical categories with a simple optimization process, without any prior hypothesis on the form of the model."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bailly-gabor-2020-emergence">
<titleInfo>
<title>Emergence of Syntax Needs Minimal Supervision</title>
</titleInfo>
<name type="personal">
<namePart type="given">Raphaël</namePart>
<namePart type="family">Bailly</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kata</namePart>
<namePart type="family">Gábor</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</title>
</titleInfo>
<name type="personal">
<namePart type="given">Dan</namePart>
<namePart type="family">Jurafsky</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joyce</namePart>
<namePart type="family">Chai</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Natalie</namePart>
<namePart type="family">Schluter</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joel</namePart>
<namePart type="family">Tetreault</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Online</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics information. We describe the formal characteristics of an autonomous syntax and show that it becomes possible to search for syntax-based lexical categories with a simple optimization process, without any prior hypothesis on the form of the model.</abstract>
<identifier type="citekey">bailly-gabor-2020-emergence</identifier>
<identifier type="doi">10.18653/v1/2020.acl-main.46</identifier>
<location>
<url>https://aclanthology.org/2020.acl-main.46/</url>
</location>
<part>
<date>2020-07</date>
<extent unit="page">
<start>477</start>
<end>487</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Emergence of Syntax Needs Minimal Supervision
%A Bailly, Raphaël
%A Gábor, Kata
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F bailly-gabor-2020-emergence
%X This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics information. We describe the formal characteristics of an autonomous syntax and show that it becomes possible to search for syntax-based lexical categories with a simple optimization process, without any prior hypothesis on the form of the model.
%R 10.18653/v1/2020.acl-main.46
%U https://aclanthology.org/2020.acl-main.46/
%U https://doi.org/10.18653/v1/2020.acl-main.46
%P 477-487
Markdown (Informal)
[Emergence of Syntax Needs Minimal Supervision](https://aclanthology.org/2020.acl-main.46/) (Bailly & Gábor, ACL 2020)
ACL
- Raphaël Bailly and Kata Gábor. 2020. Emergence of Syntax Needs Minimal Supervision. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 477–487, Online. Association for Computational Linguistics.