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

2023

Khamsehashari, Razieh; Schmitt, Vera; Polzehl, Tim; Mohtaj, Salar; Möller, Sebastian
How Risky is Multimodal Fake News Detection? A Review of Cross-Modal Learning Approaches under EU AI Act Constrains
3rd Symposium on Security and Privacy in Speech CommunicationausSPSC, Seite 01–10
Herausgeber: ISCA, Dublin, Irland
August 2023
Nizamoglu, Ata; Dahm, Lea; Sari, Talia; Schmitt, Vera; Mohtaj, Salar; Möller, Sebastian
A Transfer Learning Approach for SDGs Classification of Sustainability Reports
10th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Seite 96–201
2023
Mohtaj, Salar; Schmitt, Vera; Khamsehashari, Razieh; Möller, Sebastian
Multi-task Learning for German Text Readability Assessment
CLiC-it - 9th Italian Conference on Computational Linguistics
2023

2022

Mohtaj, Salar; Möller, Sebastian
On the Importance of Word Embedding in Automated Harmful Information Detection
Text, Speech, and Dialogue - 25th International Conference, TSD 2022, Brno, Czech Republic, September 6-9, 2022, ProceedingsausLecture Notes in Computer Science, Seite 251–262
Herausgeber: Springer, Heidelberg, Germany
September 2022
ISBN
978-3-031-16270-1
Mohtaj, Salar; Naderi, Babak; Möller, Sebastian
Overview of the GermEval 2022 Shared Task on Text Complexity Assessment of German Text
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, GermEval@KONVENS 2022, Potsdam, Germany, September 12, 2022ausLecture Notes in Computer Science, Seite 1–9
Herausgeber: Association for Computational Linguistics, Stroudsburg, USA
September 2022
Mohtaj, Salar; Möller, Sebastian
The Impact of Pre-processing on the Performance of Automated Fake News Detection
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, ProceedingsausLecture Notes in Computer Science, Seite 93–102
Herausgeber: Springer, Heidelberg, Germany
August 2022
ISBN
978-3-031-13643-6
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
Januar 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
September 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
September 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
Juni 2019
Naderi, Babak; Mohtaj, Salar; Ensikat, Kaspar; Möller, Sebastian
Subjective Assessment of Text Complexity: A Dataset for German Language
CoRR
2019