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 …

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 …

Distributed word representations (word embeddings) have recently contributed to
competitive performance in language modeling and several NLP tasks. In this work, we train …

This paper describes a system for extracting typed dependency parses of English sentences
from phrase structure parses. In order to capture inherent relations occurring in corpus texts …

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

Each year the Conference on Computational Natural Language Learning (CoNLL) 1
features a shared task, in which participants train and test their systems on exactly the same …

Parsing unrestricted text is useful for many language technology applications but requires
parsing methods that are both robust and efficient. MaltParser is a language-independent …

Dependency parsing has been a topic of active research in natural language processing
during the last several years. The CoNLL-2006 shared task (Buchholz and Marsi, 2006) …

Sentence comprehension requires the retrieval of single word information from long-term
memory, and the integration of this information into multiword representations. The current …

Machine learning based on various forms of inductive inference has been used for a wide
range of problems in natural language processing, with syntactic parsing being one of the …