An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

As a core task and an important link in the fields of natural language understanding and
information retrieval, information extraction (IE) can structure and semanticize unstructured …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Transforming unstructured text into a formal representation is an important goal of the
Semantic Web in order to facilitate the integration and retrieval of information. The …

While attention mechanisms have been proven to be effective in many NLP tasks, majority of
them are data-driven. We propose a novel knowledge-attention encoder which incorporates …

The Semantic Web provides guidelines for the representation of information about real-
world objects (entities) and their relations (properties). This is helpful for the dissemination …

Over the last decade, extensive research has been done on automatic construction of
knowledge graphs from Web resources, resulting in a number of large-scale knowledge …

This paper presents an effort within our company of developing knowledge extraction
pipeline for English, which can be further used for constructing an entreprise-specific …

In this position paper, we highlight that being able to analyse the cause-effect relationships
for determining the causal status among a set of events is an essential requirement in many …

A massive amount of news is being shared online by individuals and news agencies,
making it difficult to take advantage of these news and analyse them in traditional ways. In …