Paper: Learning the Scope of Negation via Shallow Semantic Parsing

ACL ID C10-1076
Title Learning the Scope of Negation via Shallow Semantic Parsing
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

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 with the negation signal as the predicate and the negation scope as its ar- guments. Our parsing approach to SoN learning differs from the state-of-the-art chunking ones in two aspects. First, we ex- tend SoN learning from the chunking level to the parse tree level, where structured syn- tactic information is available. Second, we focus on determining whether a constituent, rather than a word, is negated or not, via a simplified shallow semantic parsing frame- work. Evaluation on the BioScope corpus shows that structured syntactic information is effective in capturing the domination rela- tionship...