In this paper we focus on practical issues of data representation for dependency parsing. We carry out an experimental comparison of (a) three syntactic dependency schemes; (b) three data-driven dependency parsers; and (c) the influence of two different approaches to lexical category disambiguation (aka tagging) prior to parsing. Comparing parsing accuracies in various setups, we study the interactions of these three aspects and analyze which configurations are easier to learn for a dependency parser.
In REF , the authors run a set of experiments that provide a comparison of (1) 3 dependency schemes, (2) 3 data-driven dependency parsers and (3) 2 approaches to POS-tagging in a parsing pipeline.
Survey on parsing three dependency representations for English
ACL
Computer Science