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 …

In this paper, we propose an approach for cross-lingual topical coding of sentences from
electoral manifestos of political parties in different languages. To this end, we exploit …

We present a topic-based analysis of agreement and disagreement in political manifestos,
which relies on a new method for topic detection based on key concept clustering. Our …

Abstract Language is the medium for many political activities, from campaigns to news
reports. Natural language processing (NLP) uses computational tools to parse text into key …

The availability of entity linking technologies provides a novel way to organize, categorize,
and analyze large textual collections in digital libraries. However, in many situations a link to …

Entities play an essential role in understanding textual documents, regardless of whether the
documents are short, such as tweets, or long, such as news articles. In short textual …

We build a sentence-level political discourse classifier using existing human expert
annotated corpora of political manifestos from the Manifestos Project (Volkens et al., 2020a) …

Archives Portal Europe (APE, www. archivesportaleurope. net) is the portal of European
archives, an aggregator that connects on a single research point the catalogues and …

The news is a detailed record of events, issues, and opinions published daily in every
country around the world. In addition to daily news content, many national libraries are …

Social sciences and Humanities research is often based on large textual corpora, that it
would be unfeasible to read in detail. Natural Language Processing (NLP) can identify …