Gerhard Gossen

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High impact events, political changes and new technologies are reflected in our language and lead to constant evolution of terms, expressions and names. Not knowing about names used in the past for referring to a named entity can severely decrease the performance of many computational linguistic algorithms. We propose NEER, an unsupervised method for named(More)
Email can be considered as a virtual working environment in which users are constantly struggling to manage the vast amount of exchanged data. Although most of this data belongs to well-defined workflows, these are implicit and largely unsupported by existing email clients. Semanta provides this support by enabling Semantic Email – email enhanced with(More)
Knowing the behavior of terms in written texts can help us tailor fit models, algorithms and resources to improve access to digital libraries and help us answer information needs in longer spanning archives. In this paper we investigate the behavior of English written text in blogs in comparison to traditional texts from the New York Times, The Times(More)
In this paper, we describe a set of reusable text processing components for extracting opinionated information from social media, rating it for interestingness, and for detecting opinion events. We have developed applications in GATE to extract named entities, terms and events and to detect opinions about them, which are then used as the starting point for(More)
High impact events, political changes and new technologies are reflected in our language and lead to constant evolution of terms, expressions and names. This makes search using standard search engines harder, as users need to know all different names used over time to formulate an appropriate query. The fokas search engine demonstrates the impact of(More)
The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language phenomena over time. Thus far however, culturomics has only made use of, and shown the great potential of, statistical methods. In this paper, we present a vision for a knowledge-based culturomics that(More)
Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and(More)