| Improving Entity Linking by Modeling Latent Relations between Mentions P Le, I Titov ACL, 2018 | 177 | 2018 |
| Dialog device with dialog support generated using a mixture of language models combined using a recurrent neural network P Le, M Dymetman, JM Renders US Patent 20170316775A1, 2016 | 173 | 2016 |
| Compositional Distributional Semantics with Long Short Term Memory P Le, W Zuidema Joint Conference on Lexical and Computational Semantics, 10-19, 2015 | 107 | 2015 |
| The inside-outside recursive neural network model for dependency parsing P Le, W Zuidema Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 80 | 2014 |
| Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs P Le, W Zuidema ACL Workshop on Representation Learning for NLP, 2016 | 43 | 2016 |
| Boosting Entity Linking Performance by Leveraging Unlabeled Documents P Le, I Titov ACL 2019, 2019 | 41 | 2019 |
| The forest convolutional network: Compositional distributional semantics with a neural chart and without binarization P Le, W Zuidema Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 36 | 2015 |
| Distant Learning for Entity Linking with Automatic Noise Detection P Le, I Titov ACL 2019, 2019 | 33 | 2019 |
| Unsupervised Dependency Parsing: Let's Use Supervised Parsers P Le, W Zuidema the 2015 Conference of the North American Chapter of the Association for …, 2015 | 30 | 2015 |
| LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues P Le, M Dymetman, JM Renders ACL Workshop on Representation Learning for NLP, 2016 | 28 | 2016 |
| Revisiting Unsupervised Relation Extraction TT Tran, P Le, S Ananiadou ACL 2020, 2020 | 23 | 2020 |
| Learning compositional semantics for open domain semantic parsing P Le, W Zuidema International Conference on Computational Linguistics (COLING), 1535-1551, 2012 | 20 | 2012 |
| Inside-Outside Semantics: A Framework for Neural Models of Semantic Composition P Le, W Zuidema NIPS Workshop on Deep Learning and Representation Learning, 2014 | 12 | 2014 |
| Learning from errors: Using vector-based compositional semantics for parse reranking P Le, W Zuidema, R Scha ACL Workshop on Continuous Vector Space Models and their Compositionality, 2013 | 5 | 2013 |
| Optimizing Differentiable Relaxations of Coreference Evaluation Metrics P Le, I Titov CoNLL, 2017 | 4 | 2017 |
| Adaptive hybrid mean shift and particle filter P Le, AD Duong, HQ Vu, NT Pham 2009 IEEE-RIVF International Conference on Computing and Communication …, 2009 | 4 | 2009 |
| One-shot to Weakly-Supervised Relation Classification using Language Models TT Tran, P Le, S Ananiadou 3rd Conference on Automated Knowledge Base Construction, 2021 | 2 | 2021 |
| Enhancing the inside-outside recursive neural network reranker for dependency parsing P Le Proceedings of the 14th International Conference on Parsing Technologies, 87-91, 2015 | 2 | 2015 |
| Learning Vector Representations for Sentences-The Recursive Deep Learning Approach P Lę University of Amsterdam, 2016 | 1 | 2016 |
| DoLFIn: Distributions over Latent Features for Interpretability P Le, W Zuidema Coling 2020, 2020 | | 2020 |
Willem ZuidemaAssociate Professor of Computational Linguistics and Cognitive Science, University of AmsterdamVerified email at uva.nl
