Natural language parsing with data-driven dependency-based frameworks has received an
increasing amount of attention in recent years, as observed in the shared tasks hosted by …

Explaining the variation between human languages and the constraints on that variation is a
core goal of linguistics. In the last 20 y, it has been claimed that many striking universals of …

We describe a two-stage optimization of the MaltParser system for the ten languages in the
multilingual track of the CoNLL 2007 shared task on dependency parsing. The first stage …

To facilitate future research in unsupervised induction of syntactic structure and to
standardize best-practices, we propose a tagset that consists of twelve universal part-of …

Abstract The Conference on Computational Natural Language Learning features a shared
task, in which participants train and test their learning systems on the same data sets. In …

Training higher-order conditional random fields is prohibitive for huge tag sets. We present
an approximated conditional random field using coarse-to-fine decoding and early updating …

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

Hungarian is the stereotype of morphologically rich and free word order languages. Here,
we introduce magyarlanc, a natural language toolkit developed for the linguistic …

We present experiments with a dependency parsing model defined on rich factors. Our
model represents dependency trees with factors that include three types of relations …

This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal
multiword expressions. We present the annotation methodology, focusing on changes from …