Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   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 arguments. Our parsing approach to SoN learning differs from the state-of-the-art chunking ones in two aspects. First,  extend SoN learning from the chunking level to the parse tree level, where structured syntactic information is available. Second,  focus on determining whether a constituent, rather than a word, is negated or not, via a simplified shallow semantic parsing framework. Evaluation on the BioScope corpus shows that structured syntactic information is effective in capturing the domination relationship beten a negation signal and its dominated arguments. It also shows that our parsing approach much outperforms the state-of-the-art chunking ones.
['Junhui Li', 'Guodong Zhou', 'Hongling Wang', 'Qiaoming Zhu']
I am writing a research paper on a idea Learning the Scope of Negation via Shallow Semantic Parsing
[{"from": "human", "value": "I am writing a research paper on a idea Learning the Scope of Negation via Shallow Semantic Parsing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   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 arguments. Our parsing approach to SoN learning differs from the state-of-the-art chunking ones in two aspects. First,  extend SoN learning from the chunking level to the parse tree level, where structured syntactic information is available. Second,  focus on determining whether a constituent, rather than a word, is negated or not, via a simplified shallow semantic parsing framework. Evaluation on the BioScope corpus shows that structured syntactic information is effective in capturing the domination relationship beten a negation signal and its dominated arguments. It also shows that our parsing approach much outperforms the state-of-the-art chunking ones."}]