A survey on question answering systems over linked data and documents

E Dimitrakis, K Sgontzos, Y Tzitzikas - Journal of intelligent information …, 2020 - Springer
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 …

[HTML][HTML] Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison

JF Sánchez-Rada, CA Iglesias - Information Fusion, 2019 - Elsevier
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 …

Sparklis: An expressive query builder for SPARQL endpoints with guidance in natural language

S Ferré - Semantic Web, 2016 - journals.sagepub.com
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 …

Interchanging lexical resources on the semantic web

J McCrae, G Aguado-de-Cea, P Buitelaar… - Language Resources …, 2012 - Springer
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 …

A comparison of knowledge extraction tools for the semantic web

A Gangemi - The Semantic Web: Semantics and Big Data: 10th …, 2013 - Springer
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 …

The Arabic ontology–an Arabic wordnet with ontologically clean content

M Jarrar - Applied ontology, 2021 - content.iospress.com
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 …

A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification

A Lieto, GL Pozzato, S Zoia, V Patti… - Knowledge-Based Systems, 2021 - Elsevier
Abstract We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an
explainable system for emotion attribution and recommendation. This system relies on a …

[PDF][PDF] UBY-a large-scale unified lexical-semantic resource based on LMF

I Gurevych, J Eckle-Kohler, S Hartmann… - Proceedings of the …, 2012 - aclanthology.org
We present UBY, a large-scale lexicalsemantic resource combining a wide range of
information from expert-constructed and collaboratively constructed resources for English …

Towards open data for linguistics: Linguistic linked data

C Chiarcos, J McCrae, P Cimiano… - New trends of research in …, 2013 - Springer
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 …

Olia–ontologies of linguistic annotation

C Chiarcos, M Sukhareva - Semantic Web, 2015 - content.iospress.com
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 …