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TU Berlin

Inhalt des Dokuments

Salar Mohtaj


Research Field

- Natural Language Processing
- Machine Learning
- Information Retrieval

 Research Topics

- Text quality assessment


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).


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




Naderi, Babak and Mohtaj, Salar and Ensikat, Kaspar and Möller, Sebastian (2019). Subjective Assessment of Text Complexity: A Dataset for German Language. CoRR

Naderi, Babak and Mohtaj, Salar and Karan, Karan and Möller, Sebastian (2019). Automated Text Readability Assessment for German Language: A Quality of Experience Approach. 11th International Conference on Quality of Multimedia Experience (QoMEX 2019). IEEE.

Mohtaj, Salar and Himmelsbach, Tilo and Woloszyn, Vinicius and Möller, Sebastian (2019). Using External Knowledge Bases and Coreference Resolution for Detecting Check-Worthy Statements. Working Notes of (CLEF) Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019.. CEUR-WS.org, 1–8.

Mohtaj, Salar and Naderi, Babak and Ensikat, Kaspar and Möller, Sebastian (2019). A Dataset for Subjective Assessment of German Text Complexity. Dialog for Good (DiGo), Workshop on Speech and Language Technology Serving Society, Stockholm, 10 September, 2019., 1–6.

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