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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 21 1 Interpreting Arabic Transformer Models ... Abdelali, Ahmed; Durrani, Nadir; Dalvi, Fahim. - : arXiv, 2022 BASE Show details 2 How transfer learning impacts linguistic knowledge in deep NLP models? ... Durrani, Nadir; Sajjad, Hassan; Dalvi, Fahim. - : arXiv, 2021 BASE Show details 3 How transfer learning impacts linguistic knowledge in deep NLP models? ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Dalvi, Fahim; Durrani, Nadir. - : Underline Science Inc., 2021 BASE Show details 4 Effect of Post-processing on Contextualized Word Representations ... Sajjad, Hassan; Alam, Firoj; Dalvi, Fahim; Durrani, Nadir. - : arXiv, 2021 Abstract: Post-processing of static embedding has beenshown to improve their performance on both lexical and sequence-level tasks. However, post-processing for contextualized embeddings is an under-studied problem. In this work, we question the usefulness of post-processing for contextualized embeddings obtained from different layers of pre-trained language models. More specifically, we standardize individual neuron activations using z-score, min-max normalization, and by removing top principle components using the all-but-the-top method. Additionally, we apply unit length normalization to word representations. On a diverse set of pre-trained models, we show that post-processing unwraps vital information present in the representations for both lexical tasks (such as word similarity and analogy)and sequence classification tasks. Our findings raise interesting points in relation to theresearch studies that use contextualized representations, and suggest z-score normalization as an essential step to consider when using ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2104.07456 https://arxiv.org/abs/2104.07456 BASE Hide details 5 Similarity Analysis of Contextual Word Representation Models ... Wu, John M.; Belinkov, Yonatan; Sajjad, Hassan. - : arXiv, 2020 BASE Show details 6 AraBench: Benchmarking Dialectal Arabic-English Machine Translation ... The 28th International Conference on Computational Linguistics 2020; Abdelali, Ahmed; Dalvi, Fahim. - : Underline Science Inc., 2020 BASE Show details 7 A Clustering Framework for Lexical Normalization of Roman Urdu ... Khan, Abdul Rafae; Karim, Asim; Sajjad, Hassan. - : arXiv, 2020 BASE Show details 8 Analyzing Individual Neurons in Pre-trained Language Models ... Durrani, Nadir; Sajjad, Hassan; Dalvi, Fahim. - : arXiv, 2020 BASE Show details 9 On the Linguistic Representational Power of Neural Machine Translation Models Belinkov, Yonatan; Durrani, Nadir; Dalvi, Fahim... In: Computational Linguistics, Vol 46, Iss 1, Pp 1-52 (2020) (2020) BASE Show details 10 On the Linguistic Representational Power of Neural Machine Translation Models ... Belinkov, Yonatan; Durrani, Nadir; Dalvi, Fahim. - : arXiv, 2019 BASE Show details 11 What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models ... Dalvi, Fahim; Durrani, Nadir; Sajjad, Hassan. - : arXiv, 2018 BASE Show details 12 Identifying and Controlling Important Neurons in Neural Machine Translation ... Bau, Anthony; Belinkov, Yonatan; Sajjad, Hassan. - : arXiv, 2018 BASE Show details 13 The Summa Platform Prototype ... Liepins, Renars; Germann, Ulrich; Barzdins, Guntis. - : Zenodo, 2017 BASE Show details 14 The Summa Platform Prototype ... Liepins, Renars; Germann, Ulrich; Barzdins, Guntis. - : Zenodo, 2017 BASE Show details 15 Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ... Sajjad, Hassan; Dalvi, Fahim; Durrani, Nadir. - : arXiv, 2017 BASE Show details 16 The SUMMA Platform Prototype Riedel, Sebastian; Garner, Phil; Narayan, Shashi... In: http://infoscience.epfl.ch/record/233575 (2017) BASE Show details 17 Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ... Sajjad, Hassan; Durrani, Nadir; Guzman, Francisco. - : arXiv, 2016 BASE Show details 18 QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ... Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir. - : Carnegie Mellon University, 2015 BASE Show details 19 QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ... Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir. - : Carnegie Mellon University, 2015 BASE Show details 20 Hindi-to-Urdu machine translation through transliteration Durrani, Nadir; Sajjad, Hassan; Fraser, Alexander... In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 465-474 BLLDB Show details Page: 1 2

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