Udo Hahn spends much of his time researching Artificial intelligence, Natural language processing, Information retrieval, Annotation and Data science. His Artificial intelligence study incorporates themes from Structure, Coherence and German. His work deals with themes such as Domain, Terminology and Anaphora, which intersect with Natural language processing.
Udo Hahn has included themes like Complement, Knowledge extraction, Domain knowledge and Knowledge base in his Information retrieval study. He combines subjects such as Emotion classification, Categorical variable, Scheme, Named-entity recognition and Data set with his study of Annotation. His Data science study combines topics from a wide range of disciplines, such as Knowledge representation and reasoning, Text mining, Constraint, Key and Automatic summarization.
Artificial intelligence, Natural language processing, Information retrieval, German and Annotation are his primary areas of study. His studies in Domain knowledge, Description logic, Lexicon, Text corpus and Knowledge representation and reasoning are all subfields of Artificial intelligence research. His Natural language processing study frequently links to related topics such as Knowledge base.
His Knowledge base research focuses on Knowledge-based systems and how it relates to Knowledge extraction. His work in Information retrieval addresses subjects such as Text mining, which are connected to disciplines such as Data science. His work in Parsing tackles topics such as Grammar which are related to areas like Dependency.
Udo Hahn spends much of his time researching Artificial intelligence, Natural language processing, German, Word and Information retrieval. The various areas that Udo Hahn examines in his Artificial intelligence study include Domain, Machine learning and Task. The Lexicon research Udo Hahn does as part of his general Natural language processing study is frequently linked to other disciplines of science, such as Quality, therefore creating a link between diverse domains of science.
The study incorporates disciplines such as Scheme, Unified Medical Language System, Text corpus and Terminology in addition to German. His Word research includes themes of Contrast, Stability, Meaning, Connotation and Reliability. His Information retrieval research includes elements of Parallel corpora and Machine translation.
Udo Hahn mostly deals with Artificial intelligence, Natural language processing, Word, German and Information retrieval. His biological study spans a wide range of topics, including Domain, Task, Data science, Considered harmful and Open software. His work in the fields of F1 score overlaps with other areas such as Protected health information.
His research in Word intersects with topics in Reliability, Speech recognition, Emotion classification and Word meaning. His studies in German integrate themes in fields like Data anonymization and Analytics. His research integrates issues of World Wide Web and Distribution in his study of Information retrieval.
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The challenges of automatic summarization
U. Hahn;I. Mani.
IEEE Computer (2000)
A systems study reveals concurrent activation of AMPK and mTOR by amino acids
Piero Dalle Pezze;Stefanie Ruf;Stefanie Ruf;Annika G Sonntag;Miriam Langelaar-Makkinje.
Nature Communications (2016)
Functional centering: grounding referential coherence in information structure
Michael Strube;Udo Hahn.
Computational Linguistics (1999)
Towards text knowledge engineering
Udo Hahn;Klemens Schnattinger.
national conference on artificial intelligence (1998)
BioTop: An upper domain ontology for the life sciences: A description of its current structure, contents and interfaces to OBO ontologies
Elena Beisswanger;Stefan Schulz;Holger Stenzhorn;Udo Hahn.
Applied Ontology (2008)
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
Sven Buechel;Udo Hahn.
conference of the european chapter of the association for computational linguistics (2017)
Proceedings of the AMIA Symposium
Stefan Schulz;Philipp Daumke;Barry Smith;Udo Hahn.
MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports.
Udo Hahn;Martin Romacker;Stefan Schulz.
International Journal of Medical Informatics (2002)
High-performance gene name normalization with GeNo
Joachim Wermter;Katrin Tomanek;Udo Hahn.
CREATING KNOWLEDGE REPOSITORIES FROM BIOMEDICAL REPORTS: THE MEDSYNDIKATE TEXT MINING SYSTEM
Udo Hahn;Martin Romacker;Stefan Schulz.
pacific symposium on biocomputing (2001)
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