News
- Accepted Papers 2023: 2 demo paper (1 AAAI, EACL), 1 conference paper (1 ICLR)
- Accepted Papers 2022: 3 journal articles (1 TACL, 1 CSL, 1 IJDRR), 5 conference papers (1 ICLR, 1 NAACL, 1 COLING, 2 EMNLP), 1 workshop paper (BlackboxNLP)
- NeuroX Toolkit on pip: https://pypi.org/project/neurox/
- Tutorial @NAACL 2021: Fine-grained Interpretation and Causation Analysis in Deep NLP Models
- Accepted Papers 2021: 1 TACL, 1 NAACL, 1 ACL findings, 2 ICWSM, 1 IWCS
- Talk: Exploiting Redundancy in Pre-trained Models for Efficient Transfer Learning. Facebook (Feb. 2021), Machine Learning and Data Analytics Symposium (Mar. 2021), National Research Council, Canada
- Talk: Hidden Linguistics in Deep NLP Models. Heinrich-Heine Universität Düsseldorf, Germany
- Accepted @COLING 2020: Two long papers, 1) Dialect Arabic machine translation, 2) Location mention recognition
- Accepted @EMNLP 2020: Two long papers on interpretabiliy are accepted. Details coming soon!
- Media Coverage: One billion tokens translated. Gulf times, Qatar tribune and several TV/radio channels such as Qatar radio and Qatar TV
- Released: First-ever Dialectal Arabic to English Machine Translation System covering a large variety of Arabic dialects
- Tech Transfer: Machine Translation Technology to KanariAI
- Accepted @ACL 2020: Similarity Analysis of Contextual Word Representation Models
- Talk: Interpreting Deep NLP Models, University of Edinburgh, UK (April 2020)
- Talk: University of Sheffield, UK (Mar 2020)
- Invited talk: Efficient Transfer Learning of Pretrained Model. 7th International Conference on Language and Technology, Pakistan (February 2020)
- Talk: Analyzing Individual Neurons in Deep NLP Models at Google, Facebook, Amazon, Salesforce and Bosch, US (April 2019)
- Keynote: Hidden Linguistic in Deep NLP Models, Symposium on Natural Language Processing, University of Moratuwa, Sri Lanka (March 2019)
- Deep learning for NLP: Fun teaching at International Spring School in Advanced Language Engineering, University of Moratuwa (March 2019)
- Talk: Machine Translation in Real World, King’s College London, UK (March 2019)
- Talk: Analyzing Individual Neurons in Deep NLP Models, University of Melbourne, Australia (February 2019)
- Accepted @NAACL 2019: “One Size Does Not Fit All: Comparing NMT Representations of Different Granularities”
- Accepted @NAACL 2019: “Highly Effective Arabic Diacritization using Sequence to Sequence Modeling”
- Media coverage: Our work on NeuroX - Analyzing and Controlling Individual Neurons is featured at MIT news and several AI blogs.
- Accepted @ICLR 2019: “Identifying and Controlling Important Neurons in Neural Machine Translation”
- Accepted @AAAI 2019: “What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models”
- Accepted @AAAI 2019: “NeuroX: A toolkit for Analyzing Individual Neurons in Neural Network”
- Best Innovation Award @ARC’18 for our Speech Translation System, see media coverage
- Deep learning for NLP: I will be delivering an intensive course on deep learning for NLP at the University of Duisburg-Essen, Germany in the second week of April 2018
- Accepted @NAACL 2018: Incremental decoding and training methods for simultaneous translation in neural machine translation
- Media coverage: Our work on understanding Neural Machine Translation has made it to MIT news and been picked by several channels like ScienceBlog, ScienceDaily
- Accepted @IWSLT 2017: Neural Machine Translation Training in a Multi-domain Scenario
- Deep learning for MT: I had great fun in teaching deep learning for machine translation at the DGfS-CL Fall School. Course material is available here.
- Accepted two papers @ACL 2017
- Read my post about What does Neural Machine Translation Learn about Morphology
Hassan Sajjad
Associate Professor
My research interests include natural language processing, machine translation and deep learning