NLPExplorer

Hassan Sajjad

Number of Papers:- 65

Number of Citations:- 171

First ACL Paper:- 2009

Latest ACL Paper:- 2024

Venues:-

NAACL

BlackboxNLP

COLING

MTSummit

EMNLP

Findings

VarDial

LREC

TACL

IWCS

ACL

EACL

WMT

IJCNLP

WANLP

IWSLT

Co-Authors:-

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Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure NAACL

David Arps | Laura Kallmeyer | Younes Samih | Hassan Sajjad |

Long-form evaluation of model editing NAACL

Latent Concept-based Explanation of NLP Models EMNLP

Immunization against harmful fine-tuning attacks F i n d i n g s - E M N L P

NxPlain: A Web-based Tool for Discovery of Latent Concepts EACL

Impact of Adversarial Training on Robustness and Generalizability of Language Models F i n d i n g s - A C L

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts EMNLP

Qi Zhang | Hassan Sajjad |

NeuroX Library for Neuron Analysis of Deep NLP Models ACL

Fahim Dalvi | Hassan Sajjad | Nadir Durrani |

Analyzing Encoded Concepts in Transformer Language Models NAACL

Effect of Post-processing on Contextualized Word Representations COLING

Hassan Sajjad | Firoj Alam | Fahim Dalvi | Nadir Durrani |

Neuron-level Interpretation of Deep NLP Models: A Survey TACL

Hassan Sajjad | Nadir Durrani | Fahim Dalvi |

On the Transformation of Latent Space in Fine-Tuned NLP Models EMNLP

Nadir Durrani | Hassan Sajjad | Fahim Dalvi | Firoj Alam |

Probing for Constituency Structure in Neural Language Models F i n d i n g s - E M N L P

David Arps | Younes Samih | Laura Kallmeyer | Hassan Sajjad |

Fine-grained Interpretation and Causation Analysis in Deep NLP Models NAACL

Hassan Sajjad | Narine Kokhlikyan | Fahim Dalvi | Nadir Durrani |

Implicit representations of event properties within contextual language models: Searching for “causativity neurons” IWCS

Esther Seyffarth | Younes Samih | Laura Kallmeyer | Hassan Sajjad |

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society EMNLP Findings

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT TACL

How transfer learning impacts linguistic knowledge in deep NLP models? Findings

Nadir Durrani | Hassan Sajjad | Fahim Dalvi |

Similarity Analysis of Contextual Word Representation Models ACL

Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets COLING

Reem Suwaileh | Muhammad Imran | Tamer Elsayed | Hassan Sajjad |

On the Linguistic Representational Power of Neural Machine Translation Models CL

AraBench: Benchmarking Dialectal Arabic-English Machine Translation COLING

Hassan Sajjad | Ahmed Abdelali | Nadir Durrani | Fahim Dalvi |

Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP WMT

Analyzing Individual Neurons in Pre-trained Language Models EMNLP

Nadir Durrani | Hassan Sajjad | Fahim Dalvi | Yonatan Belinkov |

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Analyzing Redundancy in Pretrained Transformer Models EMNLP

Fahim Dalvi | Hassan Sajjad | Nadir Durrani | Yonatan Belinkov |

A System for Diacritizing Four Varieties of Arabic EMNLP

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities NAACL

Highly Effective Arabic Diacritization using Sequence to Sequence Modeling NAACL

Findings of the First Shared Task on Machine Translation Robustness ACL WMT WS

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation NAACL

Fahim Dalvi | Nadir Durrani | Hassan Sajjad | Stephan Vogel |

QCRI Live Speech Translation System EACL

The SUMMA Platform Prototype EACL

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks IJCNLP

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder IJCNLP

Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining CL

Hassan Sajjad | Helmut Schmid | Alexander Fraser | Hinrich Schütze |

What do Neural Machine Translation Models Learn about Morphology? ACL

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ACL

Neural Machine Translation Training in a Multi-Domain Scenario IWSLT

A Deep Fusion Model for Domain Adaptation in Phrase-based MT COLING

Nadir Durrani | Hassan Sajjad | Shafiq Joty | Ahmed Abdelali |

Eyes Don’t Lie: Predicting Machine Translation Quality Using Eye Movement NAACL

QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features VarDial WS

Mohamed Eldesouki | Fahim Dalvi | Hassan Sajjad | Kareem Darwish |

QCRI’s Machine Translation Systems for IWSLT’16 IWSLT

Nadir Durrani | Fahim Dalvi | Hassan Sajjad | Stephan Vogel |

An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text EMNLP

How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models EMNLP

How do Humans Evaluate Machine Translation WMT WS

QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction WANLP WS

Houda Bouamor | Hassan Sajjad | Nadir Durrani | Kemal Oflazer |