natural-language-processing-9
DRS Parsing
3260 papers • 126 benchmarks • 313 datasets
Discourse Representation Structures (DRS) are formal meaning representations introduced by Discourse Representation Theory. DRS parsing is a complex task, comprising other NLP tasks, such as semantic role labeling, word sense disambiguation, co-reference resolution and named entity tagging. Also, DRSs show explicit scope for certain operators, which allows for a more principled and linguistically motivated treatment of negation, modals and quantification, as has been advocated in formal semantics. Moreover, DRSs can be translated to formal logic, which allows for automatic forms of inference by third parties. Description from NLP Progress
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Most implemented papers
Exploring Neural Methods for Parsing Discourse Representation Structures
Antonio Toral, Lasha Abzianidze, Johan Bos, Rik van Noord•Mon Oct 29 2018
This work presents a sequence-to-sequence neural semantic parser that is able to produce Discourse Representation Structures (DRSs) for English sentences with high accuracy, outperforming traditional DRS parsers.
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