In the last years, basic NLP tasks: NER, WSD, relation extraction, etc. have been configured
for Semantic Web tasks including ontology learning, linked data population, entity resolution …

We present Tìpalo, an algorithm and tool for automatically ty** DBpedia entities. Tìpalo
identifies the most appropriate types for an entity by interpreting its natural language …

We present a novel representation, evaluation measure, and supervised models for the task
of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical …

Multiword expressions (MWEs) are quite frequent in languages such as English, but their
diversity, the scarcity of individual MWE types, and contextual ambiguity have presented …

This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification
of terms from literature in the domain of computational linguistics. The dataset is derived …

As a pedagogical strategy, Writing-to-Learn uses writing to improve students' understanding
of course content, but most existing writing feedback systems focus on improving students' …

We present the architecture of a deep learning pipeline for natural language processing.
Based on this architecture we built a set of tools both for creating distributional vector …

Major efforts have been conducted on ontology learning, that is, semiautomatic processes
for the construction of domain ontologies from diverse sources of information. In the past few …

In this paper, we provide a quantitative assessment of the part of speech tagging accuracy
rate of the written word recognition subcomponent of the computational implementation of …

In this paper, we demonstrate the impact of Multiword Expression (MWE) resources in the
task of MWE recognition in text. We present results based on the Wiki50 corpus for MWE …