Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an efficient approach for discourse parsing within and across sentences, where the unit of processing is an entire document, and not a single sentence.  apply shift-reduce algorithms for dependency and constituent parsing to determine syntactic dependencies for the sentences in a document, and subsequently a Rhetorical Structure Theory (RST) tree for the entire document. Our results show that our linear-time shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art approach based on chart parsing with dynamic programming.
['Kenji Sagae']
I am writing a research paper on a idea Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing
[{"from": "human", "value": "I am writing a research paper on a idea Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an efficient approach for discourse parsing within and across sentences, where the unit of processing is an entire document, and not a single sentence.  apply shift-reduce algorithms for dependency and constituent parsing to determine syntactic dependencies for the sentences in a document, and subsequently a Rhetorical Structure Theory (RST) tree for the entire document. Our results show that our linear-time shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art approach based on chart parsing with dynamic programming."}]