Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation:  examine the task of temporal relation classification for the clinical domain. Our approach to this task departs from existing ones in that it is (i) ‘knowledgerich’, employing sophisticated knowledge derived from discourse relations as ll as both domain-independent and domain-dependent semantic relations, and (ii) ‘hybrid’, combining the strengths of rule-based and learning-based approaches. Evaluation results on the i2b2 Clinical Temporal Relations Challenge corpus show that our approach yields a 17‐24% and 8‐14% relative reduction in error over a state-of-the-art learningbased baseline system when gold-standard and automatically identified temporal relations are used, respectively. Database URL: http://www.hlt.utdallas.edu/~jld082000/temporal-relations/
["Jennifer D'Souza", 'Vincent Ng']
I am writing a research paper on a idea Knowledge-rich temporal relation identification and classification in clinical notes.
[{"from": "human", "value": "I am writing a research paper on a idea Knowledge-rich temporal relation identification and classification in clinical notes."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation:  examine the task of temporal relation classification for the clinical domain. Our approach to this task departs from existing ones in that it is (i) \u2018knowledgerich\u2019, employing sophisticated knowledge derived from discourse relations as ll as both domain-independent and domain-dependent semantic relations, and (ii) \u2018hybrid\u2019, combining the strengths of rule-based and learning-based approaches. Evaluation results on the i2b2 Clinical Temporal Relations Challenge corpus show that our approach yields a 17\u201024% and 8\u201014% relative reduction in error over a state-of-the-art learningbased baseline system when gold-standard and automatically identified temporal relations are used, respectively. Database URL: http://www.hlt.utdallas.edu/~jld082000/temporal-relations/"}]