Faisal Ladhak

Hi! I'm a Ph.D. student in the Computer Science Department at Columbia University. I am part of the Natural Language Processing (NLP) group and I am advised by Kathleen McKeown. My broader research interest is in Natural Language Generation and Summarization. My current research focuses on content selection and paraphrasing in long document and Crosslingual abstractive summarization. Before joining Columbia, I worked as a Senior Applied Scientist at Amazon Web Services AI.


Contact: faisal[at]cs[dot]columbia[dot]edu



Publications

  • Incorporating Terminology Constraints in Automatic Post-Editing
    David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat and Kathleen McKeown.
    To appear in WMT, 2020.
  • WikiLingua: A New Benchmark Dataset for Crosslingual Abstractive Summarization
    Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown.
    To appear in Findings of EMNLP, 2020.
  • To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
    Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak and Yaser Al-Onaizan.
    To appear in EMNLP, 2020.
  • Exploring Content Selection in Summarization of Novel Chapters
    Faisal Ladhak, Bryan Li, Yaser Al-Onaizan and Kathleen McKeown.
    Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
    [paper] [bib]
  • Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
    Esin Durmus, Faisal Ladhak and Claire Cardie.
    Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2019.
    [paper] [bib]
  • The Role of Pragmatic and Discourse Context in Determining Argument Impact
    Esin Durmus, Faisal Ladhak and Claire Cardie.
    Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
    [paper] [bib]
  • A neural interlingua for multilingual machine translation
    Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang and Jason Sun.
    Proceedings of the Conference on Machine Translation (WMT), 2018.
    [paper] [bib]
  • LatticeRnn: Recurrent Neural Networks Over Lattices
    Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow and Björn Hoffmeister.
    Interspeech, 2016.
    [paper] [bib]
  • Using Deep Learning to Enhance Cancer Diagnosis and Classification
    Rasool Fakoor, Faisal Ladhak, Azade Nazi, Manfred Huber.
    In Proceedings of the ICML Workshop on the Role of Machine Learning in Transforming Healthcare, 2013.
    [paper] [bib]