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Wilker Aziz
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2020 – today
- 2024
- [c52]Evgenia Ilia, Wilker Aziz:
Predict the Next Word: <Humans exhibit uncertainty in this task and language models _____>. EACL (2) 2024: 234-255 - [c51]Joris Baan, Raquel Fernández, Barbara Plank, Wilker Aziz:
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL (2) 2024: 268-277 - [i30]Joris Baan, Raquel Fernández, Barbara Plank, Wilker Aziz:
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? CoRR abs/2402.16102 (2024) - [i29]Evgenia Ilia, Wilker Aziz:
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____. CoRR abs/2402.17527 (2024) - [i28]Pedro Ferreira, Wilker Aziz, Ivan Titov:
Explanation Regularisation through the Lens of Attributions. CoRR abs/2407.16693 (2024) - 2023
- [c50]Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras, Konstantinos Papakostas
, Wilker Aziz:
Vision DiffMask: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking. CVPR Workshops 2023: 3756-3763 - [c49]Mario Giulianelli, Joris Baan, Wilker Aziz
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. EMNLP 2023: 14349-14371 - [i27]Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras, Konstantinos Papakostas
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking. CoRR abs/2304.06391 (2023) - [i26]Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, Barbara Plank:
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. CoRR abs/2305.11707 (2023) - [i25]Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz:
Uncertainty in Natural Language Generation: From Theory to Applications. CoRR abs/2307.15703 (2023) - 2022
- [c48]Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, Wilker Aziz:
GoURMET - Machine Translation for Low-Resourced Languages. EAMT 2022: 337-338 - [c47]Joris Baan, Wilker Aziz
Stop Measuring Calibration When Humans Disagree. EMNLP 2022: 1892-1915 - [c46]Bryan Eikema, Wilker Aziz
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation. EMNLP 2022: 10978-10993 - [c45]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. ICLR 2022 - [i24]Claartje Barkhof, Wilker Aziz:
Statistical Model Criticism of Variational Auto-Encoders. CoRR abs/2204.03030 (2022) - [i23]Joris Baan, Wilker Aziz, Barbara Plank
Stop Measuring Calibration When Humans Disagree. CoRR abs/2210.16133 (2022) - 2021
- [c44]Nicola De Cao
Editing Factual Knowledge in Language Models. EMNLP (1) 2021: 6491-6506 - [c43]Nicola De Cao
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. EMNLP (1) 2021: 7662-7669 - [c42]Alexandra Birch, Barry Haddow, Antonio Valerio Miceli Barone, Jindrich Helcl, Jonas Waldendorf, Felipe Sánchez-Martínez
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months. MTSummit (1) 2021: 92-102 - [i22]Nicola De Cao, Wilker Aziz, Ivan Titov:
Editing Factual Knowledge in Language Models. CoRR abs/2104.08164 (2021) - [i21]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. CoRR abs/2108.02658 (2021) - [i20]Bryan Eikema, Wilker Aziz:
Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation. CoRR abs/2108.04718 (2021) - [i19]Nicola De Cao, Wilker Aziz, Ivan Titov:
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. CoRR abs/2109.03792 (2021) - 2020
- [c41]Tom Pelsmaeker, Wilker Aziz:
Effective Estimation of Deep Generative Language Models. ACL 2020: 7220-7236 - [c40]Bryan Eikema, Wilker Aziz
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. COLING 2020: 4506-4520 - [c39]Nicola De Cao
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) 2020: 3243-3255 - [c38]Duygu Ataman, Wilker Aziz, Alexandra Birch:
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation. ICLR 2020 - [c37]Dhruba Pujary, Camilo Thorne, Wilker Aziz:
Disease Normalization with Graph Embeddings. IntelliSys (2) 2020: 209-217 - [c36]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. NeurIPS 2020 - [i18]Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov:
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR abs/2004.14992 (2020) - [i17]Bryan Eikema, Wilker Aziz:
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. CoRR abs/2005.10283 (2020) - [i16]Nicola De Cao, Wilker Aziz:
The Power Spherical distribution. CoRR abs/2006.04437 (2020) - [i15]Rob Hesselink, Wilker Aziz:
Latent Transformations for Discrete-Data Normalising Flows. CoRR abs/2006.06346 (2020) - [i14]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. CoRR abs/2007.01919 (2020) - [i13]Dhruba Pujary, Camilo Thorne, Wilker Aziz:
Disease Normalization with Graph Embeddings. CoRR abs/2010.12925 (2020)
2010 – 2019
- 2019
- [c35]Jasmijn Bastings, Wilker Aziz
Interpretable Neural Predictions with Differentiable Binary Variables. ACL (1) 2019: 2963-2977 - [c34]Iacer Calixto
Latent Variable Model for Multi-modal Translation. ACL (1) 2019: 6392-6405 - [c33]Alexandra Birch, Barry Haddow, Ivan Titov, Antonio Valerio Miceli Barone, Rachel Bawden, Felipe Sánchez-Martínez, Mikel L. Forcada, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz
Global Under-Resourced Media Translation (GoURMET). MTSummit (2) 2019: 122 - [c32]Nicola De Cao
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. NAACL-HLT (1) 2019: 2306-2317 - [c31]Bryan Eikema, Wilker Aziz
Auto-Encoding Variational Neural Machine Translation. RepL4NLP@ACL 2019: 124-141 - [c30]Nicola De Cao, Wilker Aziz, Ivan Titov:
Block Neural Autoregressive Flow. UAI 2019: 1263-1273 - [i12]Jasmijn Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an:
Modeling Latent Sentence Structure in Neural Machine Translation. CoRR abs/1901.06436 (2019) - [i11]Nicola De Cao, Ivan Titov, Wilker Aziz:
Block Neural Autoregressive Flow. CoRR abs/1904.04676 (2019) - [i10]Tom Pelsmaeker, Wilker Aziz:
Effective Estimation of Deep Generative Language Models. CoRR abs/1904.08194 (2019) - [i9]Jasmijn Bastings, Wilker Aziz, Ivan Titov:
Interpretable Neural Predictions with Differentiable Binary Variables. CoRR abs/1905.08160 (2019) - [i8]Duygu Ataman, Wilker Aziz, Alexandra Birch:
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation. CoRR abs/1910.13890 (2019) - 2018
- [c29]Wilker Aziz, Philip Schulz:
Variational Inference and Deep Generative Models. ACL (5) 2018: 8-9 - [c28]Philip Schulz, Wilker Aziz
A Stochastic Decoder for Neural Machine Translation. ACL (1) 2018: 1243-1252 - [c27]Miguel Rios, Wilker Aziz
Deep Generative Model for Joint Alignment and Word Representation. NAACL-HLT 2018: 1011-1023 - [i7]Miguel Rios, Wilker Aziz, Khalil Sima'an:
Deep Generative Model for Joint Alignment and Word Representation. CoRR abs/1802.05883 (2018) - [i6]Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. CoRR abs/1805.10844 (2018) - [i5]Bryan Eikema, Wilker Aziz:
Auto-Encoding Variational Neural Machine Translation. CoRR abs/1807.10564 (2018) - [i4]Nicola De Cao, Wilker Aziz, Ivan Titov:
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. CoRR abs/1808.09920 (2018) - [i3]Iacer Calixto, Miguel Rios, Wilker Aziz:
Latent Visual Cues for Neural Machine Translation. CoRR abs/1811.00357 (2018) - 2017
- [c26]Jasmijn Bastings, Ivan Titov, Wilker Aziz
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP 2017: 1957-1967 - [c25]Jan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues
The QT21 Combined Machine Translation System for English to Latvian. WMT 2017: 348-357 - [i2]Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an:
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. CoRR abs/1704.04675 (2017) - 2016
- [c24]Philip Schulz, Wilker Aziz
Word Alignment without NULL Words. ACL (2) 2016 - [c23]Philip Schulz, Wilker Aziz:
Fast Collocation-Based Bayesian HMM Word Alignment. COLING 2016: 3146-3155 - [c22]Karin Sim Smith, Wilker Aziz, Lucia Specia:
The Trouble with Machine Translation Coherence. EAMT 2016: 178-189 - [c21]Karin Sim Smith, Wilker Aziz, Lucia Specia:
Cohere: A Toolkit for Local Coherence. LREC 2016 - [c20]Joachim Daiber, Milos Stanojevic, Wilker Aziz
Examining the Relationship between Preordering and Word Order Freedom in Machine Translation. WMT 2016: 118-130 - 2015
- [j1]Wilker Aziz:
Grasp: Randomised Semiring Parsing. Prague Bull. Math. Linguistics 104: 51-62 (2015) - [c19]Karin Sim Smith, Wilker Aziz, Lucia Specia:
A Proposal for a Coherence Corpus in Machine Translation. DiscoMT@EMNLP 2015: 52-58 - [c18]Raymond W. M. Ng
Quality estimation for asr k-best list rescoring in spoken language translation. ICASSP 2015: 5226-5230 - [i1]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHarbi, Lucia Specia, Thomas Hain
The USFD Spoken Language Translation System for IWSLT 2014. CoRR abs/1509.03870 (2015) - 2014
- [c17]Wilker Aziz, Marc Dymetman, Lucia Specia:
Exact Decoding for Phrase-Based Statistical Machine Translation. EMNLP 2014: 1237-1249 - [c16]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHaribi, Lucia Specia, Thomas Hain:
The USFD SLT system for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - 2013
- [c15]Wilker Aziz, Lucia Specia:
Multilingual WSD-like Constraints for Paraphrase Extraction. CoNLL 2013: 202-211 - [c14]Wilker Aziz, Ruslan Mitkov, Lucia Specia
Ranking Machine Translation Systems via Post-editing. TSD 2013: 410-418 - [c13]Wilker Aziz, Marc Dymetman, Sriram Venkatapathy:
Investigations in Exact Inference for Hierarchical Translation. WMT@ACL 2013: 472-483 - 2012
- [c12]Maarit Koponen, Wilker Aziz, Luciana Ramos, Lucia Specia:
Post-editing time as a measure of cognitive effort. WPTP@AMTA 2012 - [c11]Wilker Aziz, Sheila C. M. de Sousa, Lucia Specia:
Cross-lingual Sentence Compression for Subtitles. EAMT 2012: 103-110 - [c10]Wilker Aziz, Sheila Castilho, Lucia Specia:
PET: a Tool for Post-editing and Assessing Machine Translation. LREC 2012: 3982-3987 - [c9]Miguel Rios, Wilker Aziz, Lucia Specia:
UOW: Semantically Informed Text Similarity. SemEval@NAACL-HLT 2012: 673-678 - 2011
- [c8]Lucia Specia, Najeh Hajlaoui, Catalina Hallett, Wilker Aziz:
Predicting Machine Translation Adequacy. MTSummit 2011 - [c7]Sheila C. M. de Sousa, Wilker Aziz, Lucia Specia:
Assessing the Post-Editing Effort for Automatic and Semi-Automatic Translations of DVD Subtitles. RANLP 2011: 97-103 - [c6]Wilker Aziz, Miguel Rios, Lucia Specia:
Improving Chunk-based Semantic Role Labeling with Lexical Features. RANLP 2011: 226-232 - [c5]Wilker Aziz, Lucia Specia:
Fully Automatic Compilation of Portuguese-English and Portuguese-Spanish Parallel Corpora. STIL 2011 - [c4]Miguel Rios, Wilker Aziz, Lucia Specia:
TINE: A Metric to Assess MT Adequacy. WMT@EMNLP 2011: 116-122 - [c3]Wilker Aziz, Miguel Rios, Lucia Specia:
Shallow Semantic Trees for SMT. WMT@EMNLP 2011: 316-322 - 2010
- [c2]Wilker Aziz, Marc Dymetman, Lucia Specia, Shachar Mirkin:
Learning an Expert from Human Annotations in Statistical Machine Translation: the Case of Out-of-Vocabulary Words. EAMT 2010 - [c1]Wilker Aziz, Lucia Specia:
Combining Dictionaries and Contextual Information for Cross-Lingual Lexical Substitution. SemEval@ACL 2010: 117-122
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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