[Corpora-List] Call for participation in the German Text Complexity Challenge 2022:

Salar Mohtaj salar.mohtaj at gmail.com
Tue Apr 19 14:32:00 CEST 2022

Dear all,

We are delighted to invite you to the first shared task on the Automated German Text Complexity Assessment will be held with GermEval 2022.

Overview: Text readability is one of the factors which affects a reader’s understanding of a text. The mapping of a body of text to a mathematical unit quantifying the degree of readability is the basis of readability assessment. This quantified unit is significant in informing the reader about how difficult the text content is to read. This task consists of developing machine learning based regression models to predict the complexity of a sentence in German for German learners at the B level.

Data: The TextComplexityDE dataset [1] will be used for this task which includes about 1000 sentences in German that were taken from 41 Wikipedia articles in different article genres.

Important dates: * Training data ready: May 16th, 2022 * Baseline model ready: May 23rd, 2022. * Test data ready: June 20th, 2022 * Evaluation starts: June 27th, 2022 * Evaluation end: July 4th, 2022 * Paper submission due: July 15th, 2022 * Camera-ready due: August 12th, 2022 * KONVENS conference: September 12th-15th, 2022

Organizers: Salar Mohtaj, NLP Research Scientist, Technical University of Berlin, DFKI Berlin Babak Naderi, Research Scientist, Technical University of Berlin Sebastian Möller, Professor Technical University of Berlin, Head of the Research Department Speech and Language Technology, DFKI

Contacts: Salar Mohtaj (salar.mohtaj at tu-berlin.de), Babak Naderi ( babak.naderi at tu-berlin.de)

Further details: Further information regarding this task is available on https://qulab.github.io/text_complexity_challlenge/

Reference: [1] Naderi, B., Mohtaj, S., Ensikat, K., & Möller, S. (2019). Subjective assessment of text complexity: A dataset for german language. arXiv preprint arXiv:1904.07733. -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 2154 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220419/f59fc5a0/attachment.txt>

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