1 code implementation • WS 2019 • Christina Lohr, Johannes Kiesel, Stephanie Luther, Johannes Hellrich, Tobias Kolditz, Benno Stein, Udo Hahn
Today{'}s widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e. g, sentences running over several lines in a document.
no code implementations • WS 2019 • Johannes Hellrich, Bernd Kampe, Udo Hahn
The stability of word embedding algorithms, i. e., the consistency of the word representations they reveal when trained repeatedly on the same data set, has recently raised concerns.
no code implementations • COLING 2018 • Johannes Hellrich, Sven Buechel, Udo Hahn
We here introduce a substantially extended version of JeSemE, an interactive website for visually exploring computationally derived time-variant information on word meanings and lexical emotions assembled from five large diachronic text corpora.
no code implementations • COLING 2018 • Maria Moritz, Johannes Hellrich, Sven B{\"u}chel
However, even as research in the field of plagiarism detection is constantly improving, heavily modified or paraphrased text is still challenging for current methodologies.
2 code implementations • 11 Jul 2018 • Johannes Hellrich, Sven Buechel, Udo Hahn
We here introduce a substantially extended version of JeSemE, an interactive website for visually exploring computationally derived time-variant information on word meanings and lexical emotions assembled from five large diachronic text corpora.
no code implementations • WS 2019 • Johannes Hellrich, Sven Buechel, Udo Hahn
To understand historical texts, we must be aware that language -- including the emotional connotation attached to words -- changes over time.
1 code implementation • COLING 2016 • Johannes Hellrich, Udo Hahn
We assess the reliability and accuracy of (neural) word embeddings for both modern and historical English and German.
no code implementations • WS 2016 • Sven Buechel, Johannes Hellrich, Udo Hahn
We here describe a novel methodology for measuring affective language in historical text by expanding an affective lexicon and jointly adapting it to prior language stages.
no code implementations • LREC 2016 • Udo Hahn, Franz Matthies, Erik Faessler, Johannes Hellrich
We introduce JCoRe 2. 0, the relaunch of a UIMA-based open software repository for full-scale natural language processing originating from the Jena University Language {\&} Information Engineering (JULIE) Lab.
no code implementations • LREC 2014 • Johannes Hellrich, Simon Clematide, Udo Hahn, Dietrich Rebholz-Schuhmann
The coverage of multilingual biomedical resources is high for the English language, yet sparse for non-English languages―an observation which holds for seemingly well-resourced, yet still dramatically low-resourced ones such as Spanish, French or German but even more so for really under-resourced ones such as Dutch.
no code implementations • LREC 2014 • Erik Faessler, Johannes Hellrich, Udo Hahn
Confidential corpora from the medical, enterprise, security or intelligence domains often contain sensitive raw data which lead to severe restrictions as far as the public accessibility and distribution of such language resources are concerned.