There has recently been an increased interest in named entity recognition and
disambiguation systems at major conferences such as WWW, SIGIR, ACL, KDD, etc …

Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in
Information Extraction due to its various applications. Entity Linking (EL) is the task of …

Machine learning has become pervasive in multiple domains, impacting a wide variety of
applications, such as knowledge discovery and data mining, natural language processing …

We describe on going community-efforts to create a Linked Open Data (sub-) cloud of
linguistic resources, with an emphasis on resources that are specific to linguistic research …

Knowledge graphs have seen wide adoption, in large part owing to their schemaless nature
that enables them to grow seamlessly, allowing for new relationships and entities as …

Nowadays, one sub field of Information Extraction (IE) and Named Entity Recognition (NER)
becomes more important. It is essential to recognize information units like the phrases and …

The thesis addresses two main research problems. The first topic is centered around
exploring DBpedia for novel approaches to graph-based entity linking to Wikipedia. To set …

This thesis proposes the progress in the area of text-mining realized with methods improved
by semantic information from Linked Data. This approach is demonstrated on well-known …

This master's thesis presents an entity-linking tool for detecting entity-bearing words in news
articles and linking them to the corresponding entries in a knowledge base. Given the vast …

Existe hoy en día un aumento constante de la demanda de información por la mayoría de
las personas o usuarios. La ubicuidad tecnológica actual del usuario unido a los enormes …