An Incremental Parser for Abstract Meaning Representation

Marco Damonte; Shay B. Cohen; Giorgio Satta

An Incremental Parser for Abstract Meaning Representation

Marco Damonte, Shay B. Cohen, Giorgio Satta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-based parser for AMR that parses sentences leftto-right, in linear time. We further propose a test-suite that assesses specific subtasks that are helpful in comparing AMR parsers, and show that our parser is competitive with the state of the art on the LDC2015E86 dataset and that it outperforms state-of-the-art parsers for recovering named entities and handling polarity.

Original language	English
Title of host publication	Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Place of Publication	Valencia, Spain
Publisher	Association for Computational Linguistics (ACL)
Pages	536-546
Number of pages	11
ISBN (Print)	978-1-945626-34-0
Publication status	Published - 7 Apr 2017
Event	The 15th Conference of the European Chapter of the Association for Computational Linguistics - Valencia, Spain Duration: 3 Apr 2017 → 7 Apr 2017

Conference

Conference	The 15th Conference of the European Chapter of the Association for Computational Linguistics
Abbreviated title	EACL 2017
Country/Territory	Spain
City	Valencia
Period	3/04/17 → 7/04/17

Access to Document

eacl17amrAccepted author manuscript, 220 KB
E17-1051Final published version, 175 KBLicence: Creative Commons: Attribution (CC-BY)

https://www.aclweb.org/anthology/E17-1051/Licence: Creative Commons: Attribution (CC-BY)

SUMMA - Scalable Understanding of Mulitingual Media
Renals, S. (Principal Investigator), Birch-Mayne, A. (Co-investigator) & Cohen, S. (Co-investigator)
EU government bodies
1/02/16 → 31/01/19
Project: Research

Shay Cohen
- scoheninf.ed.acuk
Person: Academic: Research Active

Cite this

@inproceedings{67f1d16500d2499bbe457b7a52d9e778,

title = "An Incremental Parser for Abstract Meaning Representation",

abstract = "Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-based parser for AMR that parses sentences leftto-right, in linear time. We further propose a test-suite that assesses specific subtasks that are helpful in comparing AMR parsers, and show that our parser is competitive with the state of the art on the LDC2015E86 dataset and that it outperforms state-of-the-art parsers for recovering named entities and handling polarity.",

author = "Marco Damonte and Cohen, {Shay B.} and Giorgio Satta",

year = "2017",

month = apr,

day = "7",

language = "English",

isbn = "978-1-945626-34-0",

pages = "536--546",

booktitle = "Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",

publisher = "Association for Computational Linguistics (ACL)",

note = "The 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 ; Conference date: 03-04-2017 Through 07-04-2017",

}

Damonte, M, Cohen, SB & Satta, G 2017, An Incremental Parser for Abstract Meaning Representation. in Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. Association for Computational Linguistics (ACL), Valencia, Spain , pp. 536-546, The 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, 3/04/17. <https://www.aclweb.org/anthology/E17-1051/>

An Incremental Parser for Abstract Meaning Representation. / Damonte, Marco; Cohen, Shay B.; Satta, Giorgio.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. Valencia, Spain : Association for Computational Linguistics (ACL), 2017. p. 536-546.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Incremental Parser for Abstract Meaning Representation

AU - Damonte, Marco

AU - Cohen, Shay B.

AU - Satta, Giorgio

PY - 2017/4/7

Y1 - 2017/4/7

N2 - Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-based parser for AMR that parses sentences leftto-right, in linear time. We further propose a test-suite that assesses specific subtasks that are helpful in comparing AMR parsers, and show that our parser is competitive with the state of the art on the LDC2015E86 dataset and that it outperforms state-of-the-art parsers for recovering named entities and handling polarity.

AB - Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-based parser for AMR that parses sentences leftto-right, in linear time. We further propose a test-suite that assesses specific subtasks that are helpful in comparing AMR parsers, and show that our parser is competitive with the state of the art on the LDC2015E86 dataset and that it outperforms state-of-the-art parsers for recovering named entities and handling polarity.

M3 - Conference contribution

SN - 978-1-945626-34-0

SP - 536

EP - 546

BT - Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

PB - Association for Computational Linguistics (ACL)

CY - Valencia, Spain

T2 - The 15th Conference of the European Chapter of the Association for Computational Linguistics

Y2 - 3 April 2017 through 7 April 2017

ER -

An Incremental Parser for Abstract Meaning Representation

Abstract

Conference

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Projects

SUMMA - Scalable Understanding of Mulitingual Media

Profiles

Shay Cohen

Cite this