The First Shared Task on Discourse Representation Structure Parsing
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 3.
5 papers.
- 2024PMB5: Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarkscited by 5
- 2021On Adversarial Robustness of Synthetic Code Generationcited by 3
- 2023Discourse Representation Structure Parsing for Chinesecited by 3
- 2024A Compositional Typed Semantics for Universal Dependenciescited by 0
- 2024CogNarr Ecosystem: Facilitating Group Cognition at Scalecited by 0
- 2024CogNarr Ecosystem: Facilitating Group Cognition at Scale11 Jul 2024
- 2024PMB5: Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks12 Apr 2024
- 2024A Compositional Typed Semantics for Universal Dependencies2 Mar 2024
- 2023Discourse Representation Structure Parsing for Chinese16 Jun 2023
- 2021On Adversarial Robustness of Synthetic Code Generation22 Jun 2021