Корпус BioScope
Related Papers
A Metalearning Approach to Processing the Scope of Negation
Finding negation signals and their scope in text is an important subtask in information ex- traction. In this paper we present a machine learning system that finds the scope of …...
A Unified Framework for Scope Learning via Simplified Shallow Semantic Parsing
This paper approaches the scope learning problem via simplified shallow semantic pars- ing. This is done by regarding the cue as the predicate and mapping its scope into several constituents …...
Learning the Scope of Negation via Shallow Semantic Parsing
In this paper we present a simplified shallow semantic parsing approach to learning the scope of negation (SoN). This is done by formulating it as a shallow semantic parsing problem …...
UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
UCM-2 infers the words that are affected by negations by browsing dependency syntactic structures. It first makes use of an algo- rithm that detects negation cues, like no, not or …...
NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
AbstractNegation is an important characteristic of language, and a major component of information extraction from text. This subtask is of considerable importance to the biomedical domain. Over the years, multiple …...