Dr. Maral Dadvar

Research Fellow

Dr. Dadvar is an expert in natural language processing with a PhD in computer science from University of Twente, Netherlands. Her prior research focused on cyber-bullying detection in social networks. Within the FID Judaica project, she will combine NLP techniques with identity resolution approaches to facilitate rich data integration.

Students interested in writing a Bachelor or Master thesis in this field are very welcome to get in touch.

Publications

2021

• Matias Frosterus, David Hansson, Maral Dadvar, Ilias Kyriazis, Sofia Zapounidou and Friedel Grant: Best Practices for Library Linked Open Data (LOD) Publication, DOI 10.5281/zenodo.4572501, LIBER, Ligue des Bibliothèques Européennes de Recherche, Association of European Research Libraries, 2021.
• Ugo Arbieu, Kathrin Helsper, Maral Dadvar, Thomas Mueller and Aidin Niamir: Natural Language Processing as a tool to evaluate emotions in conservation conflicts in Biological Conservation 256, pp. 109030, ISSN 0006-3207, DOI 10.1016/j.biocon.2021.109030, 2021.

2020

• Maral Dadvar and Kai Eckert: Cyberbullying Detection in Social Networks Using Deep Learning Based Models in Big Data Analytics and Knowledge Discovery, pp. 245-255, ISBN 978-3-030-59065-9, Springer International Publishing Cham, 2020.

2019

• Kai Eckert and Maral Dadvar: JudaicaLink: A Knowledge Base for Jewish Culture and History in Umanistica Digitale 3, pp. 266-277, DOI 10.6092/issn.2532-8816/9047, 2019.
• Aaron Christianson, Maral Dadvar and Kai Eckert: Reverse-Transliteration of Hebrew Script for Entity Disambiguation in Proceedings of the 21st International Conference on Information Integration and Web-Based Applications & Services in iiWAS2019, pp. 335-338, ISBN 9781450371797, DOI 10.1145/3366030.3366099, Association for Computing Machinery New York, NY, USA, 2019.

2018

• Maral Dadvar and Kai Eckert: JudaicaLink; A Domain-Specific Knowledge Base for Jewish Studies in 17th Dutch-Belgian Information Retrieval Worksop (DIR2018) Leiden, Netherlands, 2018.
• Maral Dadvar and Kai Eckert: Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study, Web-based Information Systems; Services, Stuttgart Media University, 2018.

2017

• Maral Dadvar and Kai Eckert: JudaicaLink: A Knowledge Base for Jewish Culture and History in Data Sharing Documentation and Digital Humanities workshop Venice, Italy, 2017.
• Maral Dadvar, Rachel Heuberger, Annette Sasse and Kai Eckert: Automatic NLP-based Classification of Jewish Studies Titles in 41st European Library Automation Group Conference (ELAG2017), DOI 10.13140/RG.2.2.26020.07045 Athens, Greece, 2017.

2016

• Maral Dadvar and Aidin Niamir: Adopting MaxEnt to Identification of Bullying Incidents in Social Networks in 27th DEXA Conferences and Workshops, DOI 10.13140/RG.2.2.19904.12802 Porto, 2016.
• Maral Dadvar and Franciska Jong: The Need for Joint Societal and Technical Solutions for Online Misbehaviour in 4th Conference of the European Society for Research on Internet Interventions, DOI 10.13140/RG.2.1.1721.1122 Bergen, 2016.

2015

• Maral Dadvar and Aidin Niamir: Maximum Entropy Modelling of Bully Users in Social Networks in Neural Information Processing Systems (NIPS), DOI 10.13140/RG.2.1.1772.7445, 2015.

2014

• Maral Dadvar, Dolf Trieschnigg and Franciska Jong: Experts and Machines against Bullies: A Hybrid Approach to Detect Cyberbullies in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8436 LNAI, pp. 275-281, ISSN 16113349, ISBN 9783319064826, DOI 10.1007/978-3-319-06483-3_25, Springer International Publishing, 2014.
• Maral Dadvar: Experts and machines united against cyberbullying, ISBN 9789036537391, DOI 10.3990/1.9789036537391, University of Twente Enschede, The Netherlands, 2014.

2013

• Maral Dadvar, Dolf Trieschnigg and Franciska De Jong: Expert knowledge for automatic detection of bullies in social networks in 25th Benelux Conference on Artificial Intelligence, BNAIC 2013, pp. 57-64, TU Delft, 2013.
• Maral Dadvar, Hendri Hondorp, Anton Nijholt, Mariët Theune, Dolf Trieschnigg and Khiet Truong: Preface (to: CLIN Journal volume 3) in Computational Linguistics in the Netherlands, pp. 1, 2013.
• Maral Dadvar, Dolf Trieschnigg, Roeland Ordelman and Franciska Jong: Improving Cyberbullying Detection with User Context in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7814 LNCS, pp. 693-696, ISSN 03029743, ISBN 9783642369728, DOI 10.1007/978-3-642-36973-5_62, 2013.

2012

• Maral Dadvar and Franciska Jong: Cyberbullying detection; step toward a safer internet yard in Proceedings of the 21st international conference companion on World Wide Web - WWW ’12 Companion, pp. 121, ISBN 9781450312301, DOI 10.1145/2187980.2187995, ACM Press New York, New York, USA, 2012.
• Maral Dadvar and Franciska Jong: Improved Cyberbullying Detection Through Personal Profiles in International Conference on Cyberbullying Paris, 2012.
• Maral Dadvar, Roeland Ordelman, Franciska De Jong and Dolf Trieschnigg: Improved cyberbullying detection using gender information in Dutch-Belgian Information Retrieval Workshop, DIR 2012, pp. 23-26 Ghent, 2012.
• Maral Dadvar, Roeland Ordelman, Franciska Jong and Dolf Trieschnigg: Towards User Modelling in the Combat against Cyberbullying in 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, pp. 277-283, DOI 10.1007/978-3-642-31178-9_34, Springer Verlag Berlin, 2012.

2011

• Maral Dadvar, Claudia Hauff and Franciska De Jong: Scope of negation detection in sentiment analysis in Dutch-Belgian Information Retrieval Workshop, DIR 2011, pp. 16-19 Amsterdam, 2011.
• Maral Dadvar: Who spoke when? Audio-based speaker location estimation for diarization., ISBN 978-3-8443-8628-8, LAP Lambert Academic Publishing Berlin, 2011.