Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of position relations, which refer to the position of people in an organization, can serve for enterprises as a significant competitive intelligence method. The rapid growth of the data volume in the b brings new opportunities for us to extract position relations of interest from the b. ,  propose a new algorithm to extract position relations from the b. Our algorithm is based on the structural feature of position relations in the b, i.e., a position relation is usually presented in b pages as a table or a list. In order to define the structural feature of b content,  first introduce a structural coefficient for each b page, which is then used to generate structural file segments for b pages. A structural file segment consists of all candidates of position relations having a similar structure. After that,  employ a pattern-matching method to extract position relations from the structural file segments. Finally,  conduct experiments on a real data set containing 6028 Chinese b pages gathered by the Baidu search engine, and evaluate precision and recall of our approach. The experimental results confirm that our algorithm has a precision over 96% and a recall over 87%.
['Peiquan Jin', 'Jia Yang', 'Jie Zhao', 'Yanhong Liu']
I am writing a research paper on a idea A structural approach to extracting Chinese position relations from web pages
[{"from": "human", "value": "I am writing a research paper on a idea A structural approach to extracting Chinese position relations from web pages"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of position relations, which refer to the position of people in an organization, can serve for enterprises as a significant competitive intelligence method. The rapid growth of the data volume in the b brings new opportunities for us to extract position relations of interest from the b. ,  propose a new algorithm to extract position relations from the b. Our algorithm is based on the structural feature of position relations in the b, i.e., a position relation is usually presented in b pages as a table or a list. In order to define the structural feature of b content,  first introduce a structural coefficient for each b page, which is then used to generate structural file segments for b pages. A structural file segment consists of all candidates of position relations having a similar structure. After that,  employ a pattern-matching method to extract position relations from the structural file segments. Finally,  conduct experiments on a real data set containing 6028 Chinese b pages gathered by the Baidu search engine, and evaluate precision and recall of our approach. The experimental results confirm that our algorithm has a precision over 96% and a recall over 87%."}]