Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the model  designed for the Chinese word segmentation Task of NLPCC 2015.  firstly apply a word-based perceptron algorithm to build the base segmenter. Then,  use a Bootstrap Aggregating model of bagging which improves the segmentation results consistently on the three tracks of closed, semi-open and open test. Considering the characteristics of ibo text,  also perform rule-based adaptation before decoding. Finally, our model achieves F-score 95.12% on closed track, 95.3% on semi-open track and 96.09% on open track.
['Zhenting Yu', 'Xinyu Dai', 'Si Shen', 'Shujian Huang', 'Jiajun Chen']
I am writing a research paper on a idea Word Segmentation of Micro Blogs with Bagging
[{"from": "human", "value": "I am writing a research paper on a idea Word Segmentation of Micro Blogs with Bagging"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the model  designed for the Chinese word segmentation Task of NLPCC 2015.  firstly apply a word-based perceptron algorithm to build the base segmenter. Then,  use a Bootstrap Aggregating model of bagging which improves the segmentation results consistently on the three tracks of closed, semi-open and open test. Considering the characteristics of ibo text,  also perform rule-based adaptation before decoding. Finally, our model achieves F-score 95.12% on closed track, 95.3% on semi-open track and 96.09% on open track."}]