AMR dependency parsing with a typed semantic algebra

Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, Alexander Koller

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques for supertagging and dependency tree parsing, constrained by a linguistically principled type system. We present two approximative decoding algorithms, which achieve state-of-the-art accuracy and outperform strong baselines.

LanguageEnglish
Title of host publicationACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publicationProceedings of the Conference, Vol. 1 (Long Papers)
EditorsIryna Gurevych, Yusuke Miyao
Place of PublicationStroudsburg PA
PublisherAssociation for Computational Linguistics (ACL)
Pages1831-1841
Number of pages11
Volume1
ISBN (Electronic)9781948087322
Publication statusPublished - 1 Jan 2018
Event56th Annual Meeting of the Association for Computational Linguistics, ACL 2018 - Melbourne, Australia
Duration: 15 Jul 201820 Jul 2018

Conference

Conference56th Annual Meeting of the Association for Computational Linguistics, ACL 2018
CountryAustralia
CityMelbourne
Period15/07/1820/07/18

Fingerprint

Algebra
Decoding
Semantics

Cite this

Groschwitz, J., Lindemann, M., Fowlie, M., Johnson, M., & Koller, A. (2018). AMR dependency parsing with a typed semantic algebra. In I. Gurevych, & Y. Miyao (Eds.), ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers) (Vol. 1, pp. 1831-1841). Stroudsburg PA: Association for Computational Linguistics (ACL).
Groschwitz, Jonas ; Lindemann, Matthias ; Fowlie, Meaghan ; Johnson, Mark ; Koller, Alexander. / AMR dependency parsing with a typed semantic algebra. ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). editor / Iryna Gurevych ; Yusuke Miyao. Vol. 1 Stroudsburg PA : Association for Computational Linguistics (ACL), 2018. pp. 1831-1841
@inproceedings{5cadf467151a4725bf364b3294c52320,
title = "AMR dependency parsing with a typed semantic algebra",
abstract = "We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques for supertagging and dependency tree parsing, constrained by a linguistically principled type system. We present two approximative decoding algorithms, which achieve state-of-the-art accuracy and outperform strong baselines.",
author = "Jonas Groschwitz and Matthias Lindemann and Meaghan Fowlie and Mark Johnson and Alexander Koller",
year = "2018",
month = "1",
day = "1",
language = "English",
volume = "1",
pages = "1831--1841",
editor = "Iryna Gurevych and Yusuke Miyao",
booktitle = "ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",

}

Groschwitz, J, Lindemann, M, Fowlie, M, Johnson, M & Koller, A 2018, AMR dependency parsing with a typed semantic algebra. in I Gurevych & Y Miyao (eds), ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). vol. 1, Association for Computational Linguistics (ACL), Stroudsburg PA, pp. 1831-1841, 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, 15/07/18.

AMR dependency parsing with a typed semantic algebra. / Groschwitz, Jonas; Lindemann, Matthias; Fowlie, Meaghan; Johnson, Mark; Koller, Alexander.

ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). ed. / Iryna Gurevych; Yusuke Miyao. Vol. 1 Stroudsburg PA : Association for Computational Linguistics (ACL), 2018. p. 1831-1841.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

TY - GEN

T1 - AMR dependency parsing with a typed semantic algebra

AU - Groschwitz,Jonas

AU - Lindemann,Matthias

AU - Fowlie,Meaghan

AU - Johnson,Mark

AU - Koller,Alexander

PY - 2018/1/1

Y1 - 2018/1/1

N2 - We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques for supertagging and dependency tree parsing, constrained by a linguistically principled type system. We present two approximative decoding algorithms, which achieve state-of-the-art accuracy and outperform strong baselines.

AB - We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques for supertagging and dependency tree parsing, constrained by a linguistically principled type system. We present two approximative decoding algorithms, which achieve state-of-the-art accuracy and outperform strong baselines.

UR - http://www.scopus.com/inward/record.url?scp=85063090720&partnerID=8YFLogxK

M3 - Conference proceeding contribution

VL - 1

SP - 1831

EP - 1841

BT - ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg PA

ER -

Groschwitz J, Lindemann M, Fowlie M, Johnson M, Koller A. AMR dependency parsing with a typed semantic algebra. In Gurevych I, Miyao Y, editors, ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). Vol. 1. Stroudsburg PA: Association for Computational Linguistics (ACL). 2018. p. 1831-1841