Search results
Results: 15
Number of items: 15
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Akkerman, D., Le, P., & Alhama, R. G. (2024). The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 18713-18723). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.1042, https://doi.org/10.18653/v1/2024.emnlp-main.1042 -
Le, P., & Zuidema, W. (2020). DoLFIn: Distributions over Latent Features for Interpretability. In D. Scott, N. Bel, & C. Zong (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp. 1468-1474). International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.127 -
Le, P., & Titov, I. (2019). Boosting Entity Linking Performance by Leveraging Unlabeled Documents. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 1935-1945). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1187 -
Le, P., & Titov, I. (2019). Distant Learning for Entity Linking with Automatic Noise Detection. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 4081-4090). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1400 -
Le, P., & Titov, I. (2018). Improving entity linking by modeling latent relations between mentions. In I. Gurevych, & Y. Miyao (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (Vol. 1, pp. 1595-1604). The Association for Computational Linguistics. https://doi.org/10.18653/v1/p18-1148 -
Le, P., & Titov, I. (2017). Optimizing differentiable relaxations of coreference evaluation metrics. In R. Levy, & L. Specia (Eds.), The 21st Conference on Computational Natural Language Learning: Proceedings of the Conference : CoNNL 2017 : August 2-august 4, 2017, Vancouver, Canada (pp. 390-399). Association for Computational Linguistics. https://doi.org/10.18653/v1/k17-1039 -
Le, P., & Zuidema, W. (2016). Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs. In P. Blunsom, K. Cho, S. Cohen, E. Grefenstette, K. M. Hermann, L. Rimell, J. Weston, & S. W. Yih (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics. Proceedings of the 1st Workshop on Representation Learning for NLP: ACL 2016 : August 11th, 2016, Berlin, Germany (pp. 87-93). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W16-1610 -
Le, P., & Zuidema, W. (2015). The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. In L. Márquez, C. Callison-Burch, & J. Su (Eds.), EMNLP 2015 Lisbon : conference proceedings: September 17-21 : Conference on Empirical Methods in Natural Language Processing (pp. 1155-1164). The Association for Computational Linguistics. https://aclweb.org/anthology/D/D15/D15-1137.pdf
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Le, P., & Zuidema, W. (2015). Unsupervised Dependency Parsing: Let's Use Supervised Parsers. In R. Mihalcea, J. Chai, & A. Sarkar (Eds.), NAACL HLT 2015: The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : May 31-June 5, 2015, Denver, Colorado, USA (pp. 651-661). The Association for Computational Linguistics. http://aclweb.org/anthology/N/N15/N15-1067.pdf
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