Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

Barbara Plank; Zeljko Agic

Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

Barbara Plank
, Zeljko Agic

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

We introduce DSDS: a cross-lingual neural part-of-speech tagger that learns from dis- parate sources of distant supervision, and realistically scales to hundreds of low-resource languages. The model exploits annotation projection, instance selection, tag dictionaries, morphological lexicons, and distributed representations, all in a uniform framework. The approach is simple, yet surprisingly effective, resulting in a new state of the art without access to any gold annotated data.

Originalsprog	Engelsk
Titel	Proceedings of the Conference on Empirical Methods in Natural Language Processing
Forlag	Association for Computational Linguistics
Publikationsdato	2018
Status	Udgivet - 2018

Emneord

Cross-lingual part-of-speech tagging
Distant supervision
Low-resource languages
Morphological lexicons
Annotation projection

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Citationsformater

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title = "Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging",

abstract = "We introduce DSDS: a cross-lingual neural part-of-speech tagger that learns from dis- parate sources of distant supervision, and realistically scales to hundreds of low-resource languages. The model exploits annotation projection, instance selection, tag dictionaries, morphological lexicons, and distributed representations, all in a uniform framework. The approach is simple, yet surprisingly effective, resulting in a new state of the art without access to any gold annotated data.",

keywords = "Cross-lingual part-of-speech tagging, Distant supervision, Low-resource languages, Morphological lexicons, Annotation projection, Cross-lingual part-of-speech tagging, Distant supervision, Low-resource languages, Morphological lexicons, Annotation projection",

author = "Barbara Plank and Zeljko Agic",

year = "2018",

language = "English",

booktitle = "Proceedings of the Conference on Empirical Methods in Natural Language Processing",

publisher = "Association for Computational Linguistics",

address = "United States",

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Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging. / Plank, Barbara; Agic, Zeljko.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2018.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

AU - Plank, Barbara

AU - Agic, Zeljko

PY - 2018

Y1 - 2018

N2 - We introduce DSDS: a cross-lingual neural part-of-speech tagger that learns from dis- parate sources of distant supervision, and realistically scales to hundreds of low-resource languages. The model exploits annotation projection, instance selection, tag dictionaries, morphological lexicons, and distributed representations, all in a uniform framework. The approach is simple, yet surprisingly effective, resulting in a new state of the art without access to any gold annotated data.

AB - We introduce DSDS: a cross-lingual neural part-of-speech tagger that learns from dis- parate sources of distant supervision, and realistically scales to hundreds of low-resource languages. The model exploits annotation projection, instance selection, tag dictionaries, morphological lexicons, and distributed representations, all in a uniform framework. The approach is simple, yet surprisingly effective, resulting in a new state of the art without access to any gold annotated data.

KW - Cross-lingual part-of-speech tagging

KW - Distant supervision

KW - Low-resource languages

KW - Morphological lexicons

KW - Annotation projection

KW - Cross-lingual part-of-speech tagging

KW - Distant supervision

KW - Low-resource languages

KW - Morphological lexicons

KW - Annotation projection

UR - https://aclanthology.coli.uni-saarland.de/papers/D18-1061/d18-1061

M3 - Article in proceedings

BT - Proceedings of the Conference on Empirical Methods in Natural Language Processing

PB - Association for Computational Linguistics

ER -

Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

Abstract

Emneord

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Citationsformater