Sentiment analysis in social media is harder than in other types of text due to limitations
such as abbreviations, jargon, and references to existing content or concepts. Nevertheless …

Question Answering (QA) systems aim at supplying precise answers to questions, posed by
users in a natural language form. They are used in a wide range of application areas, from …

Sparklis is a Semantic Web tool that helps users explore and query SPARQL endpoints by
guiding them in the interactive building of questions and answers, from simple ones to …

Lexica and terminology databases play a vital role in many NLP applications, but currently
most such resources are published in application-specific formats, or with custom access …

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 a formal Arabic wordnet built on the basis of a carefully designed ontology
hereby referred to as the Arabic Ontology. The ontology provides a formal representation of …

We present UBY, a large-scale lexicalsemantic resource combining a wide range of
information from expert-constructed and collaboratively constructed resources for English …

Abstract 'Open Data'has become very important in a wide range of fields. However for
linguistics, much data is still published in proprietary, closed formats and is not made …

This paper describes the Ontologies of Linguistic Annotation (OLiA) as one of the data sets
currently available as part of Linguistic Linked Open Data (LLOD) cloud. Within the LLOD …

Recent years have witnessed a surge in the amount of semantic information published on
the Web. Indeed, the Web of Data, a subset of the Semantic Web, has been increasing …