Amir Hossein Kargaran

prof_pic.jpg

Hello! I’m Amir 👋, a Ph.D. student at CIS, LMU Munich advised by Prof. Hinrich Schütze. My primary focus is on scaling NLP horizontally to include more languages in the map of NLP.

Before starting my Ph.D., I completed my M.Sc. in Computer Engineering at Sharif University of Technology, 2022. I did my B.Sc. at Isfahan University of Technology double majored in Electrical Engineering and Computer Engineering, 2020.

news

Feb 20, 2024 📌 GlotScript: A Resource and Tool for Low Resource Writing System Identification is accepted at the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC’24). Check out our repo here.
Jan 13, 2024 📌 GIRT-Model: Automated Generation of Issue Report Templates is accepted at 21st IEEE/ACM Conference on Mining Software Repositories (MSR’24).
Oct 24, 2023 📌 GlotLID: Language Identification for Low-Resource Languages is accepted at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’23). Check out our demo here.

see all the news here.

selected publications

  1. EMNLP 2023
    GlotLID: Language Identification for Low-Resource Languages
    Amir Hossein Kargaran, Ayyoob Imani, François Yvon, and Hinrich Schütze
    In The 2023 Conference on Empirical Methods in Natural Language Processing 2023
  2. LREC 2024
    GlotScript: A Resource and Tool for Low Resource Writing System Identification
    Amir Hossein Kargaran, François Yvon, and Hinrich Schütze
    The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation 2024
  3. ACL 2023
    Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
    Ayyoob ImaniGooghari, Peiqin Lin,  Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André Martins, François Yvon, and Hinrich Schütze
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2023
  4. WEBSCI 2021
    Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph
    Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kave Salamatian, and Masoud Nejad Sattary
    In 13th ACM Web Science Conference 2021