Searchable List of Research Output

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  • Laplante, S., Lee, T., Szegedy, M. (2005) The quantum adversary method and classical formula size lower bounds.
    In Proceedings 20th annual conference on computational complexity (pp 76-90). IEEE.
    Conference contribution | UvA-DARE
  • Larooij, M., Kamps, J., Marx, M. (2023) Openbaarheid van bestuur kan vrijwel kosteloos beter.
    Economisch-Statistische Berichten, Vol. 108 (pp 36-39)
  • Laurent, M., Piovesan, T. (2015) Conic approach to quantum graph parameters using linear optimization over the completely positive semidefinite cone.
    SIAM Journal on Optimization, Vol. 25 (pp 2461-2493)
  • Lauridsen, F.M., Ilin, J., Bezhanishvili, G., Harding, J. (2018) MacNeille transferability for finite lattices.
    In Proceedings of the conference Logic, Algebra and Truth Degrees (pp 24-26). University of Bern.
  • Lauridsen, F.M. (2017) Intermediate logics admitting structural hypersequent calculi.
  • Lauridsen, F.M. (2019) Cuts and completions: Algebraic aspects of structural proof theory.
    Thesis, fully internal | UvA-DARE
  • Lauridsen, F.M. (2019) Intermediate logics admitting a structural hypersequent calculus.
    Studia Logica, Vol. 107 (pp 247–282)
  • Lazaridou, A., Chrupała, G., Fernández, R., Baroni, M. (2016) Multimodal Semantic Learning from Child-Directed Input.
    In Knight, K. Nenkova, A. Rambow, O. (Eds.), NAACL HLT 2016 : The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : June 12-17, 2016, San Diego, California, USA (pp 387-392). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/N16-1043 | UvA-DARE
  • Lazaridou, A., Titov, I., Sporleder, C. (2013) A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations.
    In Fung, P. Poesio, M. (Eds.), ACL 2013 : 51st Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : August 4-9, 2013, Sofia, Bulgaria (pp 1630-1639). Association for Computational Linguistics.
  • Lazzari, G., Colavizza, G., Bortoluzzi, F., Drago, D., Erboso, A., Zugno, F., Kaplan, F., Salathé, M. (2020) A digital reconstruction of the 1630–1631 large plague outbreak in Venice.
    Scientific Reports, Vol. 10
  • Le, P., Titov, I. (2017) Optimizing differentiable relaxations of coreference evaluation metrics.
    In Levy, R. Specia, L. (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.
    Conference contribution | https://doi.org/10.18653/v1/k17-1039 | UvA-DARE
  • Le, P., Titov, I. (2018) Improving entity linking by modeling latent relations between mentions.
    In Gurevych, I. Miyao, Y. (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (pp 1595-1604). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/p18-1148 | UvA-DARE
  • Le, P., Titov, I. (2019) Distant Learning for Entity Linking with Automatic Noise Detection.
    In Korhonen, A. Traum, D. Màrquez, L. (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.
    Conference contribution | https://doi.org/10.18653/v1/P19-1400 | UvA-DARE
  • Le, P., Titov, I. (2019) Boosting Entity Linking Performance by Leveraging Unlabeled Documents.
    In Korhonen, A. Traum, D. Màrquez, L. (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.
    Conference contribution | https://doi.org/10.18653/v1/P19-1187 | UvA-DARE
  • Le, P., Zuidema, W., Scha, R.J.H. (2013) Learning from errors: Using vector-based compositional semantics for parse reranking.
    In Allauzen, A. Larochelle, H. Manning, C. Socher, R. (Eds.), 51st Annual Meeting of the Association for Computational Linguistics : ACL 2013 : Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality: August 9, 2013, Sofia, Bulgaria (pp 11-19). The Association for Computational Linguistics.
    Conference contribution | https://aclanthology.org/W13-3202 | UvA-DARE
  • Le, P., Zuidema, W. (2012) Learning compositional semantics for open domain semantic parsing.
    In Kay, M. Boitet, C. (Eds.), 24th International Conference on Computational Linguistics: proceedings of COLING 2012: technical papers: 8-15 December 2012, Mumbai, India (pp 1535-1551). Indian Institute of Technology Bombay.
  • Le, P., Zuidema, W. (2014) Inside-Outside Semantics: A Framework for Neural Models of Semantic Composition.
    Paper | UvA-DARE
  • Le, P., Zuidema, W. (2014) The Inside-Outside Recursive Neural Network model for Dependency Parsing.
    In Moschitti, A. Pang, B. Daelemans, W. (Eds.), EMNLP 2014: the 2014 Conference on Empirical Methods in Natural Language Processing: proceedings of the conference: October 25-29, 2014, Doha, Qatar (pp 729-739). Association for Computational Linguistics.
  • Le, P., Zuidema, W. (2015) The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization.
    In Márquez, L. Callison-Burch, C. Su, J. (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.
  • Le, P., Zuidema, W. (2015) Unsupervised Dependency Parsing: Let's Use Supervised Parsers.
    In Mihalcea, R. Chai, J. Sarkar, A. (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.

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