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Language Technology


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UHH|14 October 2019

Every two years the GSCL (German Society of Computational Linguists) awards the best Bachelor and Master thesis'. Three finalists were invited to present their thesis at the German conference for processing natural language: KONVENS 2019. This year's nominations included Rami Aly for his thesis 'Hierarchical Genre Classification using Neural Networks' supervised by Steffen Remus and Chris Biemann.

UHH|1 October 2019

A new publication from LT group member Gregor Wiedemann has appeared in "Language Resources and Evaluation":

Wiedemann, G.; Heyer, G. (2019): Multi-modal page stream segmentation with convolutional neural networks, In: Language Resources and Evaluation (LREV), Online first: 27.09.2019.

The paper introduces an approach to combine image and text information for document flow separation and evaluates...

UHH|1 September 2019
Dr. Gregor Wiedemann from the Language Technology group of our department has successfully acquired a new DFG project. In the project "A Framework for Argument Mining and Evaluation (FAME)", he will investigate together with researchers from the computer science department at Leipzig University (Dr. Ringo Baumann and Prof. Gerhard Heyer) how argument mining in the area of natural language...
UHH|31 July 2019
We are happy to announce the release of version 2.0 of our software new/s/leak for information extraction and interactive visualization of textual datasets for investigative journalism and eDiscovery.
UHH|8 July 2019

Our new article on local-global graphclustering with Watset has just been accepted for the September issue of the Computational Linguistics journal:

Dmitry Ustalov, Alexander Panchenko, Chris Biemann and Simone Paolo Ponzetto (2019): Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction. Posted Online June 25, 2019,  (link)


Verwaltung|3 July 2019

The 20th Conference of the International Speech Communication Association (INTERSPEECH2019) accepted the following paper from our lab :

Benjamin Milde and Chris Biemann, "SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders "

A preprint version of the paper is available here

Verwaltung|12 June 2019

Seven papers in different categories from LT co-authors have been accepted for publication at ACL 2019, the 57th Annual Meeting of the Association for Computational Linguistics, and the premier conference of the field. The conference will take place in Florence, Italy, where the Moscateers roam, from July 28th through August 2nd, 2019.

Full papers:

Friedrich, M., Köhn, A., Wiedemann, G., Biemann,...
Verwaltung|9 April 2019

In this year's SemEval 2019 Task 2 on Unsupervised Lexical Semantic Frame Induction (, the first two places go to teams involvind LT members:

The system by Arefyev et al. 2019 [1], which won subtask A and was pronounced best system overall The system by Anwar et al. 2019 [2], which won subtask B.1, placed second overall



Verwaltung|5 April 2019

In June, the LT group will present the following papers in Minne-state-of-the-art:

Fischer, T., Remus, S and Biemann, C (2019): LT Expertfinder: An Evaluation Framework for Expert Finding Methods. Proceedings of NAACL-HLT 2019 (Demo Track), Minneapolis, MN, USA Kutuzov, A., Dorgham, M., Oliynyk, O., Panchenko, A. and Biemann, C. (2019): Learning Graph Embeddings from WordNet-based Similarity...
UHH|1 April 2019

Dr. Alexander Panchenko has physically left the LT group to start his appointment as an assistant professor at the Skolkovo Institute of Science and Technology (SKOLTECH) in Moscow, Russia.

Congratulations! We'll stay in touch!