Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Named-Entity Chunking is part of the Named-Entity Recognition (NER) process and is the task of identifying which parts of a text are names.  This task is usually done as an implicit part of the recognizer, but because previous attempts at NER for Norgian text focus only on the recognition, this research represents an attempt to develop an explicit chunker. The research shows that if  only focus on demarcating names and not on discovering their type as ll,  are able to accurately (>95% F1 -score) find the names in Norgian text using Support Vector Machines.
['Bjarte Johansen']
I am writing a research paper on a idea Named-Entity Chunking for Norwegian Text using Support Vector Machines
[{"from": "human", "value": "I am writing a research paper on a idea Named-Entity Chunking for Norwegian Text using Support Vector Machines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Named-Entity Chunking is part of the Named-Entity Recognition (NER) process and is the task of identifying which parts of a text are names.  This task is usually done as an implicit part of the recognizer, but because previous attempts at NER for Norgian text focus only on the recognition, this research represents an attempt to develop an explicit chunker. The research shows that if  only focus on demarcating names and not on discovering their type as ll,  are able to accurately (>95% F1 -score) find the names in Norgian text using Support Vector Machines."}]