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← Authors

Wilker Aziz

31 papers · 2010–2025 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (15) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🧬 Topic Evolution πŸ”₯ Unstoppable (10) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (31) ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (109)

Conferences

EMNLP (8) ACL (7) COLING (3) EACL (2) ICLR (2) NAACL (2) SEMEVAL (2) AACL (1) CONLL (1) IJCNLP (1) NIPS (1) UAI (1)

Top co-authors

Ivan Titov (8) Nicola De Cao (5) Lucia Specia (4) Philip Schulz (4) Iacer Calixto (3) Raquel FernΓ‘ndez (3) Joris Baan (3) Khalil Sima’an (3) Bryan Eikema (3) Barbara Plank (3)

Keywords

variational inference (7) neural machine translation (6) deep generative model (4) language model (3) uncertainty quantification (3) variational autoencoder (3) neural network (3) generative model (3) latent variable model (3) minimum bayes risk (2) semi-supervised learning (2) word embedding (2) sampling method (2) beam search (2) question answering (2) latent variable (2) rationale extraction (2) entity linking (2) probabilistic modeling (2) named entity recognition (2)

Papers

Explanation Regularisation through the Lens of Attributions COLING 2025 MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking IJCNLP 2025 MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking AACL 2025 Predict the Next Word: <Humans exhibit uncertainty in this task and language models _____> EACL 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023 Stop Measuring Calibration When Humans Disagree EMNLP 2022 Sparse Communication via Mixed Distributions ICLR 2022 Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation EMNLP 2022 Highly Parallel Autoregressive Entity Linking with Discriminative Correction EMNLP 2021 Editing Factual Knowledge in Language Models EMNLP 2021 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NIPS 2020 A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ICLR 2020 Effective Estimation of Deep Generative Language Models ACL 2020 How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking EMNLP 2020 Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation COLING 2020 Block Neural Autoregressive Flow UAI 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 Latent Variable Model for Multi-modal Translation ACL 2019 Auto-Encoding Variational Neural Machine Translation ACL 2019 Question Answering by Reasoning Across Documents with Graph Convolutional Networks NAACL 2019 Variational Inference and Deep Generative Models ACL 2018 Deep Generative Model for Joint Alignment and Word Representation NAACL 2018 A Stochastic Decoder for Neural Machine Translation ACL 2018 Graph Convolutional Encoders for Syntax-aware Neural Machine Translation EMNLP 2017 Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016 Word Alignment without NULL Words ACL 2016 Exact Decoding for Phrase-Based Statistical Machine Translation EMNLP 2014 Multilingual WSD-like Constraints for Paraphrase Extraction CONLL 2013 UOW: Semantically Informed Text Similarity SEMEVAL 2012 Combining Dictionaries and Contextual Information for Cross-Lingual Lexical Substitution SEMEVAL 2010