Separating Argument Structure from Logical Structure in AMR

Johan Bos

Separating Argument Structure from Logical Structure in AMR

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences puts emphasis on predicate-argument structure and was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct predictions for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to the meaning representations of Discourse Representation Theory employed in the Parallel Meaning Bank.

Original language	English
Title of host publication	Proceedings of the Second International Workshop on Designing Meaning Representations
Editors	Nianwen Xue, Johan Bos, William Croft, Jan Hajič, Chu-Ren Huang, Stephen Oepen, Martha Palmer, James Pustejovsky
Publisher	Association for Computational Linguistics (ACL)
Pages	13-20
Number of pages	8
Publication status	Published - 2020

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Separating Argument Structure from Logical Structure in AMRFinal publisher's version, 187 KBLicence: CC BY

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title = "Separating Argument Structure from Logical Structure in AMR",

abstract = "The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences puts emphasis on predicate-argument structure and was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct predictions for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to the meaning representations of Discourse Representation Theory employed in the Parallel Meaning Bank.",

author = "Johan Bos",

year = "2020",

language = "English",

pages = "13--20",

editor = "Nianwen Xue and Johan Bos and William Croft and Jan Haji{\v c} and Chu-Ren Huang and Stephen Oepen and Martha Palmer and James Pustejovsky",

booktitle = "Proceedings of the Second International Workshop on Designing Meaning Representations",

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

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Separating Argument Structure from Logical Structure in AMR. / Bos, Johan.
Proceedings of the Second International Workshop on Designing Meaning Representations. ed. / Nianwen Xue; Johan Bos; William Croft; Jan Hajič; Chu-Ren Huang; Stephen Oepen; Martha Palmer; James Pustejovsky. Association for Computational Linguistics (ACL), 2020. p. 13-20.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences puts emphasis on predicate-argument structure and was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct predictions for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to the meaning representations of Discourse Representation Theory employed in the Parallel Meaning Bank.

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M3 - Conference contribution

SP - 13

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BT - Proceedings of the Second International Workshop on Designing Meaning Representations

A2 - Xue, Nianwen

A2 - Bos, Johan

A2 - Croft, William

A2 - Hajič, Jan

A2 - Huang, Chu-Ren

A2 - Oepen, Stephen

A2 - Palmer, Martha

A2 - Pustejovsky, James

PB - Association for Computational Linguistics (ACL)

ER -

Separating Argument Structure from Logical Structure in AMR

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