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Results: 7
Number of items: 7
  • Open Access
    Marcheggiani, D., & Titov, I. (2020). Graph convolutions over constituent trees for syntax-aware semantic role labeling. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 3915-3928). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.322
  • Del Tredici, M., Marcheggiani, D., Schulte im Walde, S., & Fernández, R. (2019). You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 4707-4717). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1477
  • Open Access
    Marcheggiani, D., Bastings, J., & Titov, I. (2018). Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. In M. Walker, H. Ji, & A. Stent (Eds.), NAACL-HLT 2018 : The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: proceedings of the conference : June 1-June 6, 2018, New Orleans, Louisiana (Vol. 2, pp. 486–492). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N18-2078
  • Marcheggiani, D., & Sebastiani, F. (2017). On the effects of low-quality training data on information extraction from clinical reports. Journal of Data and Information Quality, 9(1), Article 1. https://doi.org/10.1145/3106235
  • Open Access
    Marcheggiani, D., Frolov, A., & Titov, I. (2017). A simple and accurate syntax-agnostic neural model for dependency-based semantic role labeling. 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. 411-420). Association for Computational Linguistics. https://doi.org/10.18653/v1/k17-1041
  • Open Access
    Bastings, J., Titov, I., Aziz, W., Marcheggiani, D., & Sima'an, K. (2017). Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. In M. Palmer, R. Hwa, & S. Riedel (Eds.), The Conference on Empirical Methods in Natural Language Processing: proceedings of the conference : EMNLP 2017 : September 9-11, 2017, Copenhagen, Denmark (pp. 1957-1967). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1209
  • Open Access
    Marcheggiani, D., & Titov, I. (2017). Encoding sentences with graph convolutional networks for semantic role labeling. In M. Palmer, R. Hwa, & S. Riedel (Eds.), The Conference on Empirical Methods in Natural Language Processing: proceedings of the conference : EMNLP 2017 : September 9-11, 2017, Copenhagen, Denmark (pp. 1506-1515). Association for Computational Linguistics. https://doi.org/10.18653/v1/d17-1159
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