Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parsing full-fledged predicate-argument structures in a deep syntax framework requires graphs to be predicted. Using the DeepBank (Flickinger et al., 2012) and the PredicateArgument Structure treebank (Miyao and Tsujii, 2005) as a test field,  show how transition-based parsers, extended to handle connected graphs, benefit from the use of topologically different syntactic features such as dependencies, tree fragments, spines or syntactic paths, bringing a much needed context to the parsing models, improving notably over long distance dependencies and elided coordinate structures. By confirming this positive impact on an accurate 2nd-order graphbased parser (Martins and Almeida, 2014),  establish a new state-of-the-art on these data sets.
['Corentin Ribeyre', 'Éric Villemonte de la Clergerie', 'Djamé Seddah']
I am writing a research paper on a idea Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features
[{"from": "human", "value": "I am writing a research paper on a idea Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parsing full-fledged predicate-argument structures in a deep syntax framework requires graphs to be predicted. Using the DeepBank (Flickinger et al., 2012) and the PredicateArgument Structure treebank (Miyao and Tsujii, 2005) as a test field,  show how transition-based parsers, extended to handle connected graphs, benefit from the use of topologically different syntactic features such as dependencies, tree fragments, spines or syntactic paths, bringing a much needed context to the parsing models, improving notably over long distance dependencies and elided coordinate structures. By confirming this positive impact on an accurate 2nd-order graphbased parser (Martins and Almeida, 2014),  establish a new state-of-the-art on these data sets."}]