Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

Yova Radoslavova Kementchedjhieva; Johannes Bjerva; Isabelle Augenstein

Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

Yova Radoslavova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein

2 Citationer (Scopus)

Abstract

This paper documents the Team Copenhagen system which placed first in the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87. Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in. Previous SIGMORPHON shared tasks have focused on context-agnostic inflection—the “inflection in context” task was introduced this year. We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.

Originalsprog	Engelsk
Titel	Proceedings of the CoNLL SIGMORPHON 2018 Shared Task : Universal Morphological Reinflection
Forlag	Association for Computational Linguistics
Publikationsdato	2018
Sider	93–98
Status	Udgivet - 2018
Begivenhed	CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection - Brussels, Belgien Varighed: 31 okt. 2018 → 31 okt. 2018

Workshop

Workshop	CoNLL–SIGMORPHON 2018 Shared Task
Land/Område	Belgien
By	Brussels
Periode	31/10/2018 → 31/10/2018

Citationsformater

Copenhagen at CoNLL–SIGMORPHON 2018 : Multilingual Inflection in Context with Explicit Morphosyntactic Decoding . / Kementchedjhieva, Yova Radoslavova; Bjerva, Johannes; Augenstein, Isabelle.

Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, 2018. s. 93–98 .

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Kementchedjhieva, YR, Bjerva, J & Augenstein, I 2018, Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding . i Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, s. 93–98 , CoNLL–SIGMORPHON 2018 Shared Task, Brussels, Belgien, 31/10/2018.

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title = "Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding ",

abstract = "This paper documents the Team Copenhagen system which placed first in the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87. Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in. Previous SIGMORPHON shared tasks have focused on context-agnostic inflection—the “inflection in context” task was introduced this year. We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.",

author = "Kementchedjhieva, {Yova Radoslavova} and Johannes Bjerva and Isabelle Augenstein",

year = "2018",

language = "English",

pages = "93–98 ",

booktitle = "Proceedings of the CoNLL SIGMORPHON 2018 Shared Task",

publisher = "Association for Computational Linguistics",

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AU - Augenstein, Isabelle

PY - 2018

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N2 - This paper documents the Team Copenhagen system which placed first in the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87. Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in. Previous SIGMORPHON shared tasks have focused on context-agnostic inflection—the “inflection in context” task was introduced this year. We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.

AB - This paper documents the Team Copenhagen system which placed first in the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87. Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in. Previous SIGMORPHON shared tasks have focused on context-agnostic inflection—the “inflection in context” task was introduced this year. We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.

M3 - Article in proceedings

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EP - 98

BT - Proceedings of the CoNLL SIGMORPHON 2018 Shared Task

PB - Association for Computational Linguistics

Y2 - 31 October 2018 through 31 October 2018

ER -

Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

Abstract

Workshop

Fingeraftryk

Citationsformater