Universal Dependencies (UD) is a framework for cross-linguistically consistent morphosyntactic annotation that has so far been applied to over 60 languages. The annotation includes a morphological layer, with part-of-speech tags and morphological features, and a syntactic layer consisting of dependency relations. The syntactic annotation comes in two versions: a basic representation, where words are connected by syntactic relations into a dependency tree, and an enhanced representation, which is a richer graph structure that adds external subject relations, shared dependents in coordination, and predicate-argument relations in elliptical constructions, among other things. In this talk, I will first explain the principles of the enhanced syntactic representation and review the current UD guidelines. I will then report on recent work that try to automate the prediction of enhanced dependencies, given the basic representation, using both rule-based and data-driven approaches.
Joakim Nivre is Professor of Computational Linguistics at Uppsala University. He holds a Ph.D. in General Linguistics from the University of
Gothenburg and a Ph.D. in Computer Science from Växjö University. His research focuses on data-driven methods for natural language processing, in particular for morphosyntactic analysis. He is one of the main developers of the transition-based approach to syntactic dependency parsing, and one of the founders of the Universal Dependencies project, which aims to develop cross-linguistically consistent treebank annotation for many languages and currently involves over 200 researchers around the world.