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 …

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 …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

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 …

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 …

Transformer-based language models, such as BERT and its variants, have achieved state-of-
the-art performance in several downstream natural language processing (NLP) tasks on …

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 …

As the amount of content that is created on social media is constantly increasing, more and
more opinions and sentiments are expressed by people in various subjects. In this respect …

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 proposes a machine learning approach to part-of-speech tagging and named
entity recognition for Greek, focusing on the extraction of morphological features and …