Year: 2017
Type: conference-paper
Abstract: In this paper we describe the system by METU team for universal dependency parsing of multilingual text.We use a neural network-based dependency parser that has a greedy transition approach to dependency parsing.CCG supertags contain rich structural information that proves useful in certain NLP tasks.We experiment with CCG supertags as additional features in our experiments.The neural network parser is trained together with dependencies and simplified CCG tags as well as other features provided.
DOI: 10.18653/v1/k17-3023
Institution: Middle East Technical University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2742092698