Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

This paper presents an overview of Apertium, a free and open-source rule-based machine
translation platform. Translation in Apertium happens through a pipeline of modular tools …

This volume explores the opportunities afforded by the construction and evaluation of
multilayer corpora, an emerging methodology within corpus linguistics that brings about …

Current work on automatic coreference resolution has focused on the OntoNotes benchmark
dataset, due to both its size and consistency. However many aspects of the OntoNotes …

Coreference resolution models are often evaluated on multiple datasets. Datasets vary,
however, in how coreference is realized--ie, how the theoretical concept of coreference is …

In the last decade, the demand for readily accessible corpora has touched all areas of
natural language processing, including coreference resolution. However, it is one of the …

It is increasingly common to evaluate the same coreference resolution (CR) model on
multiple datasets. Do these multi-dataset evaluations allow us to draw meaningful …

Although recent neural models for coreference resolution have led to substantial
improvements on benchmark datasets, it remains a challenge to successfully transfer these …

We present a freely available, genre-balanced English web corpus totaling 4M tokens and
featuring a large number of high-quality automatic annotation layers, including dependency …

Part of speech tagging is a fundamental NLP task often regarded as solved for high-
resource languages such as English. Current state-of-the-art models have achieved high …