Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article.  consider a relaxation of this problem suitable for semi-automated systems, in which each article is associated with a ranked list of possible gene identifiers, and experimentally compare methods for solving this geneId ranking problem. In addition to baseline approaches based on combining named entity recognition (NER) systems with a "soft dictionary" of gene synonyms,  evaluate a graph-based method which combines the outputs of multiple NER systems, as ll as other sources of information, and a learning method for reranking the output of the graph-based method.
['William W. Cohen', 'Einat Minkov']
I am writing a research paper on a idea A graph-search framework for associating gene identifiers with documents
[{"from": "human", "value": "I am writing a research paper on a idea A graph-search framework for associating gene identifiers with documents"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article.  consider a relaxation of this problem suitable for semi-automated systems, in which each article is associated with a ranked list of possible gene identifiers, and experimentally compare methods for solving this geneId ranking problem. In addition to baseline approaches based on combining named entity recognition (NER) systems with a \"soft dictionary\" of gene synonyms,  evaluate a graph-based method which combines the outputs of multiple NER systems, as ll as other sources of information, and a learning method for reranking the output of the graph-based method."}]