The automatic categorization of crime news is useful to create statistics on the type of crimes
occurring in a certain area. This assignment can be treated as a text categorization problem …

Several studies have shown that the use of embeddings improves outcomes in many
Natural Language Processing (NLP) activities, including text categorization. This paper …

OpenStreetMap (OSM) is currently the richest publicly available information source on
geographic entities (eg, buildings and roads) worldwide. However, using OSM entities in …

For select domains and datasets, duplicates may be, in part or in whole, instances of
cheating. We may specifically observe this for Sony's PlayStation Network (PSN) that …

Extracting events from news stories as the aim of several Natural Language Processing
(NLP) applications (eg, question answering, news recommendation, news summarization) is …

Online sources produce a huge amount of textual data, ie, freeform text. To derive insightful
information from them and facilitate the application of Machine Learning algorithms textual …

Event Extraction is a complex and interesting topic in Information Extraction that includes
methods for the identification of event's type, participants, location, and date from free text or …

We gain insight to the COVID-19 pandemic response by the various US states through
analysis of open source emergency declaration, mitigation, and response policy data. We …

The adoption of semantic technologies for the representation of crime events can help law
enforcement agencies (LEAs) in crime prevention and investigation. Moreover, online …

Online sources contain huge valuable information; however, the information overload they
generate needs to be organized into structured data to facilitate the application of artificial …