UiO 2: Sequence-labeling Negation Using Dependency Features
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NegationSimilar Papers 제목 키워드 기반
Viable Dependency Parsing as Sequence Labeling
We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, results …
Dependency ParsingDependency Graph Parsing as Sequence Labeling
Various linearizations have been proposed to cast syntactic dependency parsing as sequence labeling. However, these approaches do not support more complex graph-based representations, such as semantic dependencies or enh…
Dependency ParsingNegation Triplet Extraction with Syntactic Dependency and Semantic Consistency
Previous works of negation understanding mainly focus on negation cue detection and scope resolution, without identifying negation subject which is also significant to the downstream tasks. In this paper, we propose a ne…
DecoderLanguage ModellingMulti-Task LearningNegation+2UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling
Recent advances in multilingual language modeling have brought the idea of a truly universal parser closer to reality. However, such models are still not immune to the “curse of multilinguality”: Cross-language interfere…
Dependency ParsingLanguage ModelingLanguage ModellingMorphological Tagging+3Scope resolution of predicted negation cues: A two-step neural network-based approach
Neural network-based methods are the state of the art in negation scope resolution. However, they often use the unrealistic assumption that cue information is completely accurate. Even if this assumption holds, there rem…
NegationNegation DetectionNegation Scope Resolution