Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has
long been a research topic among various communities. The most challenging problem in …

Discovering significant types of relations from the web is challenging because of its open
nature. Unsupervised algorithms are developed to extract relations from a corpus without …

Application of natural language processing techniques based on crime data can prove to be
beneficial in several processes of the criminal justice industry. The availability of massive …

There is large and growing amounts of textual data that contains information about human
activities. Mining interesting knowledge from this textual data is a challenging task because …

ABSTRACT Unsupervised Relation Extraction (URE) is the task of extracting relations of a
priori unknown semantic types using clustering methods on a vector space model of entity …

The Web brings an open-ended set of semantic relations. Discovering the significant types is
very challenging. Unsupervised algorithms have been developed to extract relations from a …

Like in other NLP tasks, it has been claimed that advances of machine learning (ML) based
approaches to relation extraction (RE) are hampered by the imbalanced distribution of …

This article reports the method of enriching a thesaurus by differentiating the related term
relationship with specific semantic relations and expanding related terms. It also tests the …

Attributes such as SIZE, WEIGHT or COLOR are at the core of conceptualization, ie, the
formal representation of entities or events in the real world. In natural language, formal …

In the past decade, systems that extract information from millions of Internet documents have
become commonplace. Knowledge graphs–structured knowledge bases that describe …