Abstract Entity Linking (EL) empowers Natural Language Processing applications by linking
relevant mentions found in raw textual data to precise information about what they …

We examine the long-term relationship between signals derived from nine years of
unstructured social media microblog text data and financial market developments in five …

Enterprise risk management holds significant importance in fostering sustainable growth of
businesses and in serving as a critical element for regulatory bodies to uphold market order …

Publicly available social media archives facilitate research in a variety of fields, such as data
science, sociology or the digital humanities, where Twitter has emerged as one of the most …

Linking textual content to entities from the knowledge graph has received increasing
attention in the context of which surface form representations of entities, eg, terms or …

Quantities are more than numeric values. They represent measures for entities, expressed in
numbers with associated units. Search queries often include quantities, such as athletes …

Searching for microblog short text by their meaning is a challenging task because of the
semantic sparsity of the information in social networks. The extended search approaches …

Entity linking, also known as semantic annotation, of textual content has received increasing
attention. Recent works in this area have focused on entity linking on text with special …

Thanks to the spread of digital photography and available devices, taking photographs has
become effortless and tolerated nearly everywhere. This makes people easily ending up …

Microblogs such as Twitter tweets are an important information source in emergency
response and management. However, current approaches are either not accurate enough in …