Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to these tasks assume the existence of reference entity tables. An important challenge that needs to be addressed in the entity extraction task is that of ascertaining whether or not a candidate string approximately matches with a named entity in a given reference table.   Prior approaches have relied on string-based similarity which only compare a candidate string and an entity it matches with. ,  exploit b search engines in order to define new similarity functions.  then develop efficient techniques to facilitate approximate matching in the context of our proposed similarity functions. In an extensive experimental evaluation,  demonstrate the accuracy and efficiency of our techniques.
['Surajit Chaudhuri', 'Venkatesh Ganti', 'Dong Xin']
I am writing a research paper on a idea Exploiting web search to generate synonyms for entities
[{"from": "human", "value": "I am writing a research paper on a idea Exploiting web search to generate synonyms for entities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to these tasks assume the existence of reference entity tables. An important challenge that needs to be addressed in the entity extraction task is that of ascertaining whether or not a candidate string approximately matches with a named entity in a given reference table.   Prior approaches have relied on string-based similarity which only compare a candidate string and an entity it matches with. ,  exploit b search engines in order to define new similarity functions.  then develop efficient techniques to facilitate approximate matching in the context of our proposed similarity functions. In an extensive experimental evaluation,  demonstrate the accuracy and efficiency of our techniques."}]