Abstract
Using the SemEval-2014 Task 8 data, we profile the syntactic tree parsing techniques for semantic graph parsing. In particular, we implement different transition-based and graph-based models, as well as a parser ensembler, and evaluate their effectiveness for semantic dependency parsing. Evaluation gauges how successful data-driven dependency graph parsing can be by applying existing techniques.
Cite
CITATION STYLE
Du, Y., Zhang, F., Sun, W., & Wan, X. (2014). Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing. In 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings (pp. 459–464). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2080
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.