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Highly Parallel Autoregressive Entity Linking with Discriminative Correction


Sep 08, 2021
Nicola De Cao, Wilker Aziz, Ivan Titov

* Accepted at EMNLP2021 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. Code at https://github.com/nicola-decao/efficient-autoregressive-EL . 8 pages, 1 figure, 3 tables 

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Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation


Aug 10, 2021
Bryan Eikema, Wilker Aziz


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Sparse Communication via Mixed Distributions


Aug 05, 2021
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins


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Editing Factual Knowledge in Language Models


Apr 16, 2021
Nicola De Cao, Wilker Aziz, Ivan Titov

* 15 pages, 6 figures, 2 tables. Code at https://github.com/nicola-decao/KnowledgeEditor 

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Disease Normalization with Graph Embeddings


Oct 24, 2020
Dhruba Pujary, Camilo Thorne, Wilker Aziz

* This is a pre-print of a paper to appear in the proceedings of the IntelliSys 2020 conference 

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Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity


Jul 03, 2020
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins


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The Power Spherical distribution


Jun 15, 2020
Nicola De Cao, Wilker Aziz

* 8 pages, 2 figures, 1 table. Code at: https://github.com/nicola-decao/power_spherical 

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Latent Transformations for Discrete-Data Normalising Flows


Jun 11, 2020
Rob Hesselink, Wilker Aziz

* 9 pages, 1 figure, submitted to INNF workshop 

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Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation


May 20, 2020
Bryan Eikema, Wilker Aziz


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How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking


Apr 30, 2020
Nicola De Cao, Michael Schlichtkrull, Wilker Aziz, Ivan Titov

* 19 pages, 14 figures, 4 tables 

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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation


Oct 30, 2019
Duygu Ataman, Wilker Aziz, Alexandra Birch

* Submitted to ICLR 2020 

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Interpretable Neural Predictions with Differentiable Binary Variables


May 20, 2019
Joost Bastings, Wilker Aziz, Ivan Titov


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Effective Estimation of Deep Generative Language Models


Apr 17, 2019
Tom Pelsmaeker, Wilker Aziz


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Block Neural Autoregressive Flow


Apr 09, 2019
Nicola De Cao, Ivan Titov, Wilker Aziz

* 12 pages, 3 figures, 3 tables 

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Modeling Latent Sentence Structure in Neural Machine Translation


Jan 18, 2019
Joost Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an

* Accepted as an extended abstract to ACL NMT workshop 2018 

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Latent Visual Cues for Neural Machine Translation


Nov 01, 2018
Iacer Calixto, Miguel Rios, Wilker Aziz

* 7 pages (10 including references), 1 figure 

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Question Answering by Reasoning Across Documents with Graph Convolutional Networks


Aug 29, 2018
Nicola De Cao, Wilker Aziz, Ivan Titov

* 7 pages, 3 figures, 2 tables 

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Auto-Encoding Variational Neural Machine Translation


Aug 01, 2018
Bryan Eikema, Wilker Aziz


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A Stochastic Decoder for Neural Machine Translation


May 28, 2018
Philip Schulz, Wilker Aziz, Trevor Cohn

* Accepted at ACL 2018 

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Deep Generative Model for Joint Alignment and Word Representation


Apr 23, 2018
Miguel Rios, Wilker Aziz, Khalil Sima'an

* Accepted at NAACL 2018 

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The USFD Spoken Language Translation System for IWSLT 2014


Sep 13, 2015
Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHarbi, Lucia Specia, Thomas Hain

* Proc. of 11th International Workshop on Spoken Language Translation (SLT 2014) 86-91, Lake Tahoe, USA, December 4th and 5th, 2014 

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