In this paper, we describe ParCorFull2. 0, a parallel corpus annotated with full coreference
chains for multiple languages, which is an extension of the existing corpus ParCorFull …

The task of coreference resolution has attracted a great deal of attention in the literature due
to its importance in deep language understanding, and its potential as a subtask in a variety …

Coreference resolution is the task of identifying all mentions in a text that refer to the same
real-world entity. Collecting sufficient labelled data from expert annotators to train a high …

The widespread adoption of applications powered by Artificial Intelligence (AI) backbones
has unquestionably changed the way we interact with the world around us. Applications …

In many natural language processing applications, the performance of supervised machine
learning models depends on the quantity and quality of the training data used to train …

Applications such as automated personal assistants, automatic question answering, and
machine-based translation systems have become mainstays of modern culture thanks to the …

This paper compares the use of two different semantic bases, Onto. PT and ConceptNet, for
the purpose of coreference resolution in the Portuguese language. These semantic bases …

Coreference Resolution is a challenging task, considering the required linguistic knowledge
and the sophistication of language processing techniques involved. Several other Natural …

The task of coreference resolution has attracted a great deal of attention in the literature due
to its importance in deep language understanding, and its potential as a subtask in a variety …

A tarefa de Resolução de Correferência é um grande desafio para a área de
Processamento da Linguagem Natural, tendo em vista o conhecimento linguístico exigido e …