Cross Framework Meaning Representation Parsing
Dan Kondratyuk, Casey Kennington, Rohit Gangurde, Nikita Kramar · ScholarWorks (Boise State University) · 2019
Many natural language processing tasks can benefit from syntactic and semantic information. While there are several choices to representing the syntax and semantics of a sentence using a graph structure, the recent 2019 CoNLL Shared Task brings together five approaches into a single representation. Our approach to the CoNLL shared task is to model the words in the sentences as nodes and use a neural network with an attention layer to determine the graph structure. Our preliminary results have shown promise in this task.