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Salar Mohtaj
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Research Field
- Natural Language Processing
- Machine Learning
- Information Retrieval
Research Topics
- Text quality assessment
Biography
Salar is a researcher at the Quality and Usability Lab at Technische Universitat Berlin working on natural language processing applications in crowdsourcing.
His main interest is NLP and machine learning models. He received his bachelor degree from Shahrood University of Technology and master in information technology from AmirKabir University of Technology (Tehran Polytechnic).
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Email: salar.mohtaj[at]tu-berlin.de
Tel: +49 30 8353 58394
Publications:
| Citation key | naderi2019a |
|---|---|
| Author | Naderi, Babak and Mohtaj, Salar and Ensikat, Kaspar and Möller, Sebastian |
| Year | 2019 |
| Journal | CoRR |
| Abstract | This paper presents TextComplexityDE, a dataset consisting of 1000 sentences in German language taken from 23 Wikipedia articles in 3 different article-genres to be used for developing text-complexity predictor models and automatic text simplification in German language. The dataset includes subjective assessment of different text-complexity aspects provided by German learners in level A and B. In addition, it contains manual simplification of 250 of those sentences provided by native speakers and subjective assessment of the simplified sentences by participants from the target group. The subjective ratings were collected using both laboratory studies and crowdsourcing approach. |