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            <title>Proceedings of the IWCS Shared Task on Semantic Parsing</title>
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    <abstract>The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser.</abstract>
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%0 Conference Proceedings
%T The First Shared Task on Discourse Representation Structure Parsing
%A Abzianidze, Lasha
%A van Noord, Rik
%A Haagsma, Hessel
%A Bos, Johan
%Y Abzianidze, Lasha
%Y van Noord, Rik
%Y Haagsma, Hessel
%Y Bos, Johan
%S Proceedings of the IWCS Shared Task on Semantic Parsing
%D 2019
%8 May
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F abzianidze-etal-2019-first
%X The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser.
%R 10.18653/v1/W19-1201
%U https://aclanthology.org/W19-1201
%U https://doi.org/10.18653/v1/W19-1201

Markdown (Informal)

[The First Shared Task on Discourse Representation Structure Parsing](https://aclanthology.org/W19-1201) (Abzianidze et al., IWCS 2019)

• The First Shared Task on Discourse Representation Structure Parsing (Abzianidze et al., IWCS 2019)

ACL

• Lasha Abzianidze, Rik van Noord, Hessel Haagsma, and Johan Bos. 2019. The First Shared Task on Discourse Representation Structure Parsing. In Proceedings of the IWCS Shared Task on Semantic Parsing, Gothenburg, Sweden. Association for Computational Linguistics.