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Fahim Dalvi
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2020 – today
- 2022
- [i25]Ahmed Abdelali, Nadir Durrani, Fahim Dalvi, Hassan Sajjad:
Interpreting Arabic Transformer Models. CoRR abs/2201.07434 (2022) - [i24]Preslav Nakov, Firoj Alam, Yifan Zhang, Animesh Prakash, Fahim Dalvi:
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media. CoRR abs/2204.03506 (2022) - 2021
- [c25]Nadir Durrani, Hassan Sajjad, Fahim Dalvi:
How transfer learning impacts linguistic knowledge in deep NLP models? ACL/IJCNLP (Findings) 2021: 4947-4957 - [c24]Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli
, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. EMNLP (Findings) 2021: 611-649 - [c23]Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. ICWSM 2021: 913-922 - [i23]Hassan Sajjad, Firoj Alam, Fahim Dalvi, Nadir Durrani:
Effect of Post-processing on Contextualized Word Representations. CoRR abs/2104.07456 (2021) - [i22]Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani:
Fine-grained Interpretation and Causation Analysis in Deep NLP Models. CoRR abs/2105.08039 (2021) - [i21]Nadir Durrani, Hassan Sajjad, Fahim Dalvi:
How transfer learning impacts linguistic knowledge in deep NLP models? CoRR abs/2105.15179 (2021) - [i20]Hassan Sajjad, Nadir Durrani, Fahim Dalvi:
Neuron-level Interpretation of Deep NLP Models: A Survey. CoRR abs/2108.13138 (2021) - 2020
- [j2]Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
On the Linguistic Representational Power of Neural Machine Translation Models. Comput. Linguistics 46(1): 1-52 (2020) - [c22]John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Similarity Analysis of Contextual Word Representation Models. ACL 2020: 4638-4655 - [c21]Hassan Sajjad, Ahmed Abdelali, Nadir Durrani, Fahim Dalvi:
AraBench: Benchmarking Dialectal Arabic-English Machine Translation. COLING 2020: 5094-5107 - [c20]Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov:
Analyzing Individual Neurons in Pre-trained Language Models. EMNLP (1) 2020: 4865-4880 - [c19]Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov:
Analyzing Redundancy in Pretrained Transformer Models. EMNLP (1) 2020: 4908-4926 - [c18]Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang:
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. IWSLT 2020: 1-34 - [i19]Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
Poor Man's BERT: Smaller and Faster Transformer Models. CoRR abs/2004.03844 (2020) - [i18]Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov:
Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning. CoRR abs/2004.04010 (2020) - [i17]Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. CoRR abs/2005.00033 (2020) - [i16]John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Similarity Analysis of Contextual Word Representation Models. CoRR abs/2005.01172 (2020) - [i15]Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. CoRR abs/2007.07996 (2020) - [i14]Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov:
Analyzing Individual Neurons in Pre-trained Language Models. CoRR abs/2010.02695 (2020)
2010 – 2019
- 2019
- [j1]Ahmet Aker, Alfred Sliwa, Fahim Dalvi, Kalina Bontcheva
:
Rumour verification through recurring information and an inner-attention mechanism. Online Soc. Networks Media 13 (2019) - [c17]Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass:
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. AAAI 2019: 6309-6317 - [c16]Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass:
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. AAAI 2019: 9851-9852 - [c15]Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Identifying and Controlling Important Neurons in Neural Machine Translation. ICLR (Poster) 2019 - [c14]Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov:
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities. NAACL-HLT (1) 2019: 1504-1516 - [i13]Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
On the Linguistic Representational Power of Neural Machine Translation Models. CoRR abs/1911.00317 (2019) - 2018
- [c13]Alberto Barrón-Cedeño, Giovanni Da San Martino, Yifan Zhang, Ahmed M. Ali, Fahim Dalvi:
Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage. NewsIR@ECIR 2018: 27-32 - [c12]Shaden Shaar, Saquib Razak, Fahim Dalvi, Syed Ali Hashim Moosavi:
Group Identification in Crowded Environments Using Proximity Sensing. LCN 2018: 319-322 - [c11]Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Stephan Vogel:
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation. NAACL-HLT (2) 2018: 493-499 - [i12]Yonatan Belinkov, Lluís Màrquez, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. CoRR abs/1801.07772 (2018) - [i11]Nadir Durrani, Fahim Dalvi:
Continuous Space Reordering Models for Phrase-based MT. CoRR abs/1801.08337 (2018) - [i10]Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Stephan Vogel:
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation. CoRR abs/1806.03661 (2018) - [i9]Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Identifying and Controlling Important Neurons in Neural Machine Translation. CoRR abs/1811.01157 (2018) - [i8]Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass:
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. CoRR abs/1812.09355 (2018) - [i7]Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass:
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. CoRR abs/1812.09359 (2018) - 2017
- [c10]Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov, Stephan Vogel:
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. ACL (2) 2017: 601-607 - [c9]Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
What do Neural Machine Translation Models Learn about Morphology? ACL (1) 2017: 861-872 - [c8]Fahim Dalvi, Yifan Zhang, Sameer Khurana, Nadir Durrani, Hassan Sajjad, Ahmed Abdelali, Hamdy Mubarak, Ahmed M. Ali, Stephan Vogel:
QCRI Live Speech Translation System. EACL (Software Demonstrations) 2017: 61-64 - [c7]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals
, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak
, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c6]Yonatan Belinkov, Lluís Màrquez, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. IJCNLP(1) 2017: 1-10 - [c5]Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Stephan Vogel:
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder. IJCNLP(1) 2017: 142-151 - [c4]Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel:
Neural Machine Translation Training in a Multi-Domain Scenario. IWSLT 2017: 66-73 - [c3]Nadir Durrani, Fahim Dalvi:
Continuous Space Reordering Models for Phrase-based MT. IWSLT 2017: 129-136 - [i6]Hardie Cate, Fahim Dalvi, Zeshan Hussain:
Sign Language Recognition Using Temporal Classification. CoRR abs/1701.01875 (2017) - [i5]Hardie Cate, Fahim Dalvi, Zeshan Hussain:
DeepFace: Face Generation using Deep Learning. CoRR abs/1701.01876 (2017) - [i4]Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Stephan Vogel:
QCRI Machine Translation Systems for IWSLT 16. CoRR abs/1701.03924 (2017) - [i3]Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
What do Neural Machine Translation Models Learn about Morphology? CoRR abs/1704.03471 (2017) - [i2]Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel:
Neural Machine Translation Training in a Multi-Domain Scenario. CoRR abs/1708.08712 (2017) - [i1]Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov, Stephan Vogel:
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. CoRR abs/1709.00616 (2017) - 2016
- [c2]Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Stephan Vogel:
QCRI's Machine Translation Systems for IWSLT'16. IWSLT 2016 - [c1]Mohamed Eldesouki, Fahim Dalvi, Hassan Sajjad, Kareem Darwish:
QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features. VarDial@COLING 2016: 221-226
Coauthor Index

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last updated on 2022-05-01 01:45 CEST by the dblp team
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