Dima Taji

Main Research Interests

Syntax, parsing, morphology, low-resource languages

Projects

Thesis topic: Co-referencing in Deep Universal Dependencies (supervisor: Daniel Zeman)

Curriculum Vitae

2021 - 2023 Lecturer, Computer Science Department, Birzeit University, Birzeit, Palestine
2015 - 2020 Research Assistant, CAMeL Lab in New York University Abu Dhabi, Abu Dhabi, UAE
2014 - 2015 NLP Developer for Thomson Reuters, Progineer, Ramallah, Palestine
2011 - 2014 Research and Teaching Assistant, Computer Science Department, Birzeit University, Birzeit, Palestine

2017 - 2019 M.Sc. in Computer Science, New York University, New York, USA
2011 - 2015 M.A. in Computing, Birzeit University, Birzeit, Palestine
2004 - 2008 B.A. in Computer Science, with a minor in Business Administration, Birzeit University, Birzeit, Palestine

Selected Bibliography

• Google Scholar
• ORCID: 0000-0002-1707-1329
• Scopus ID: 57205294835
• Researcher ID: HPD-8862-2023

1. Dima Taji, Daniel Zeman (2025): Towards Generating Automatic Anaphora Annotations (Electronic). In: ArXiv.org Computing Research Repository, ISSN 2331-8422 (url)
2. Dima Taji, Nizar Habash, Daniel Zeman (2017): Universal Dependencies for Arabic. In: Proceedings of the Third Arabic Natural Language Processing Workshop (WANLP), pp. 166-176, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-44-9 (pdf, bibtex)
3. Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gökırmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič, jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li (2017): CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 1-19, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-70-8 (pdf, local PDF, bibtex)