Tweets by nedjmaou
photo

Nedjma Djouhra Ousidhoum نجمة جوهرة أوسيدهم

Postdoctoral Research Associate

Department of Computer Science and Technology
University of Cambridge
ndo24 (at) cam (dot) ac (dot) uk

I am a Postdoctoral Research Associate at the University of Cambridge. I work on automated fact-checking for journalists with Dr. Andreas Vlachos. Prior to this, I was a Ph.D. student at the Hong Kong University of Science and Technology (HKUST) where I worked on toxic content detection and evaluation under the supervision of Dr. Yangqiu Song and Prof. Dit-Yan Yeung. I am interested in natural language processing, computational social science, fairness, and machine learning. For more information, you can check my curriculum vitae (last update Sep 2021) and my Google Scholar.

Education

  • 2014-2021: PhD in Computer Science, the Hong Kong University of Science and Technology (HKUST), Hong Kong.
  • 2010-2012: Master in Software Engineering, University of Science and Technology Houari Boumedienne (USTHB), Algiers, Algeria.
  • 2007-2010: Bachelor in Computer Science, University of science and technology Houari Boumedienne (USTHB), Algiers, Algeria.

Academic Services

  • Diversity, Equity and Inclusion committee member (financial accessibility co-chair) at NAACL 2022.
  • Reviewer for EMNLP 2021, ACL 2021, NAACL 2021.
  • Secondary reviewer for COLING 2020, AAAI 2019.
  • Co-organizer of the North African in NLP affinity group social at EMNLP 2020, COLING 2020, EACL 2021, NAACL 2021, ACL 2021.

Teaching Experience

  • Spring 2018: COMP4911 IT Entrepreneurship, the Hong Kong University of Science and Technology.
  • Spring 2017: COMP4221 Natural Language Processing, the Hong Kong University of Science and Technology.
  • Spring 2016: COMP4431 Multimedia Computing, the Hong Kong University of Science and Technology.
  • Fall 2015: COMP1029Q C Programming Bridging Course, the Hong Kong University of Science and Technology.

Publications

  • Nedjma Ousidhoum: On the Importance and Challenges of the Experimental Design of Multilingual Toxic Content Detection. PhD thesis 2021.
  • Nedjma Ousidhoum, Xinran Zhao, Yangqiu Song, Dit-Yan Yeung: Probing Toxic Content in Large Pre-Trained Language Models in Proceedings of ACL-IJCNLP 2021. [PAPER] [CODE] [BIB] [PRESENTATION]
  • Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung: Comparative Evaluation of Label-Agnostic Selection in Multilingual Hate Speech Datasets in Proceedings of EMNLP 2020. [PAPER] [CODE] [BIB] [PRESENTATION]
  • Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung: Multilingual and Multi-Aspect Hate Speech Analysis" in Proceedings of EMNLP 2019. [PAPER] [CODE] [BIB]
  • Nedjma Ousidhoum, Nacéra Bensaou: Towards The Refinement of the Arabic Soundex in Proceedings of NLDB 2013. [PAPER]
  • Nedjma Ousidhoum, Asma Bensalah, Nacéra Bensaou: New Classical Arabic Soundex Algorithm in Proceedings of CIT 2012 the Second Conference on Advances in Communication and Information Technology.[PAPER]

Talks

  • Title Expectations vs. Reality: Lessons Learned from Working on Toxic Content Detection in NLP. MilaNLP Group Seminar (Bocconi University, Milan, Italy). September 2021.
  • Title Challenges in Toxic Content Detection. Language and Multimodal AI Lab (LAMA) Group Seminar (Imperial College London). August 2021.
  • Title Normalizing the Experimental Design of Multilingual Hate Speech Detection. Group Seminar of the Digital Technologies Research Center (National Research Council, Canada). November 2020.

Social Networks

Other

I am an AIHub student ambassador. You can find my articles here and you can read my interview with Lucy Smith (the managing editor for AIHub) here.