Quality and Usability

Salar Mohtaj

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).

Research Field

- Natural Language Processing
- Machine Learning
- Information Retrieval

 Research Topics

- Text quality assessment

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

Publikationen

2022

Mohtaj, Salar; Schmitt, Vera; Möller, Sebastian
A Feature Extraction based Model for Hate Speech Identification
Proc. FIRE 2021 - Hate Speech and offensive content detection (HASOC) TrackausFIRE 2021 - Hate Speech and offensive content detection (HASOC) Track, Seite 47–51
Herausgeber: arXiv, Lous Tourils, France
2022

2019

Mohtaj, Salar; Naderi, Babak; Ensikat, Kaspar; Möller, Sebastian
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., Seite 1–6
2019
Naderi, Babak; Mohtaj, Salar; Karan, Karan; Möller, Sebastian
Automated Text Readability Assessment for German Language: A Quality of Experience Approach
11th International Conference on Quality of Multimedia Experience (QoMEX 2019)ausQoMEX
Herausgeber: IEEE
2019
Naderi, Babak; Mohtaj, Salar; Ensikat, Kaspar; Möller, Sebastian
Subjective Assessment of Text Complexity: A Dataset for German Language
CoRR
2019
Mohtaj, Salar; Himmelsbach, Tilo; Woloszyn, Vinicius; Möller, Sebastian
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.ausCEUR Workshop Proceedings, Seite 1–8
Herausgeber: CEUR-WS.org, RWTH Aachen, Ahornstr. 55, 52056 Aachen, Germany
2019