DRS Parsing
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
The First Shared Task on Discourse Representation Structure Parsing
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars
Exploring Neural Methods for Parsing Discourse Representation Structures
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.