Personal Information

Name

Prof. Dr. Chris Biemann

Position

Juniorprofessor

Affiliation

 UKP-TUDA

E-Mail

 Chris Biemann

Phone

+49 (6151) 16 - 5313

Fax

+49 (6151) 16 - 5455

Office

S2|02 B106

Address

TU Darmstadt - FB 20
Hochschulstraße 10
64289 Darmstadt
Germany

 

 

Current Staff

Upcoming and Recent Activities

Current Projects

  • Text as Product: “ Machine learning for linguistic text analysis: Part of the LOEWE Research Center "Digital Humanities" at the Technical University of Darmstadt. Description: Machine learning methods are often used in automatic document classification or Information Retrieval. This subproject aims at researching the use of topic models in the automatic analysis of corpora. Topic models are generative probabilistic models that identify the main topics of a document collection, which is the analogy to the analysis of cohesion and coherence of single documents. A syntactically and semantically annotated corpus should be extended with lexical cohesion information as part of subproject. Then, statistical models, like topic models, are applied in order to examine the usefulness of approaches of statistical semantics with regard to the existing linguistic features.
  •  Web-based Annotation Platform: Funded by BMBF as a Curation Project under the CLARIN-D initiative. Description: We develop a web-based tool, which runs in a web browser without further installation effort. We support annotations on several linguistic layers within the same user interface. Further, we realize an interface to crowdsourcing platforms, to be able to scale simple annotation tasks to a large amount of annotators. The annotation platform will be connected to the CLARIN-D infrastructure.
  • Jobim Text Software Project: We develop a software solution for contextualizing distributional similarity for text expansion. Focus is on a scalable implementation. The project is hosted on sourceforge and is available under the Apache 2.0 License. 

Work Information

  • I am Juniorprofessor (assistant professor) for Language Technology at UKP lab, TU Darmstadt.
  • My research interests are statistical, unsupervised and knowledge-free natural language processing in the structure discovery paradigm, in particular statistical semantics. Further, I am interested in leveraging crowdsourcing as a source for linguistic annotations.
  • Currently, I am applying topic models for lexical cohesion in the LOEWE-project "Digital Humanities"

Biographical Information

I hold a Dr. rer. nat degree and a Diploma in computer science from the University of Leipzig. I joined the Internet-startup Powerset in San Francisco, which was acquired by Microsoft to become part of Bing.com, where I worked for 2 years in software development.

Personal Interests

traveling, cooking, art projects that move, playing the lazerkasoo

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