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pro vyhledávání: '"HAHN, Udo"'
Autor:
Hahn, Udo
We survey clinical document corpora, with focus on German textual data. Due to rigid data privacy legislation in Germany these resources, with only few exceptions, are stored in safe clinical data spaces and locked against clinic-external researchers
Externí odkaz:
http://arxiv.org/abs/2412.00230
Autor:
Buechel, Sven, Hahn, Udo
Human emotion is expressed in many communication modalities and media formats and so their computational study is equally diversified into natural language processing, audio signal analysis, computer vision, etc. Similarly, the large variety of repre
Externí odkaz:
http://arxiv.org/abs/2308.07871
Autor:
Buechel, Sven, Hahn, Udo
We describe EmoBank, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format. EmoBank excels with a bi-perspectival and bi-represen
Externí odkaz:
http://arxiv.org/abs/2205.01996
Research in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sentence vs. discourse), and, of course, (few well-resourced but much mor
Externí odkaz:
http://arxiv.org/abs/2012.00190
Autor:
Borchert, Florian, Lohr, Christina, Modersohn, Luise, Langer, Thomas, Follmann, Markus, Sachs, Jan Philipp, Hahn, Udo, Schapranow, Matthieu-P.
The lack of publicly accessible text corpora is a major obstacle for progress in natural language processing. For medical applications, unfortunately, all language communities other than English are low-resourced. In this work, we present GGPONC (Ger
Externí odkaz:
http://arxiv.org/abs/2007.06400
From 2017 to 2019 the Text REtrieval Conference (TREC) held a challenge task on precision medicine using documents from medical publications (PubMed) and clinical trials. Despite lots of performance measurements carried out in these evaluation campai
Externí odkaz:
http://arxiv.org/abs/2006.02785
Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis. Yet, manually curated lexicons are only available for a handful of languages, leaving most languages of the world
Externí odkaz:
http://arxiv.org/abs/2005.05672
Publikováno v:
Proceedings of the Second Workshop on Economics and Natural Language Processing @ EMNLP 2019, Hong Kong, November 4, 2019, pages 16-21
We examine the affective content of central bank press statements using emotion analysis. Our focus is on two major international players, the European Central Bank (ECB) and the US Federal Reserve Bank (Fed), covering a time span from 1998 through 2
Externí odkaz:
http://arxiv.org/abs/1911.11522