uva.nl

Institute for Logic, Language and Computation

Searchable List of Research Output

Filter Publications
  • 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. (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) 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.
  • Le, P., Zuidema, W. (2015) Compositional Distributional Semantics with Long Short Term Memory.
    In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics: *SEM 2015 : June 4-5, 2015, Denver, Colorado, UAA (pp 10-19). The *SEM 2015 Organizing Committee.
  • 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. (2016) Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs.
    In Blunsom, P. Cho, K. Cohen, S. Grefenstette, E. Hermann, K.M. Rimell, L. Weston, J. Yih, S.W. (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.
    Conference contribution | https://doi.org/10.18653/v1/W16-1610 | UvA-DARE
  • Le, P., Zuidema, W. (2020) DoLFIn: Distributions over Latent Features for Interpretability.
    In Scott, D. Bel, N. Zong, C. (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.
  • Le, P. (2015) Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing.
    In IWPT 2015 : 14th International Conference on Parsing Technologies: proceedings of the conference : July 22-24, 2015, Bilbao, Spain (pp 87-91). Association for Computational Linguistics.
  • Lê, Phong (2016) Learning vector representations for sentences: The recursive deep learning approach.
    Thesis, fully internal | UvA-DARE
  • Leal, R.A. (2008) Predicate liftings versus nabla modalities.
    Electronic Notes in Theoretical Computer Science, Vol. 203 (pp 195-220)
  • Leal, R.A. (2011) Modalities through the looking glass: a study on coalgebraic modal logics and their applications.
    Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Lee, S., Bloem, J. (2023) Comparing domain-specific and domain-general BERT variants for inferred real-world knowledge through rare grammatical features in Serbian.
    In Piskorski, J. Marcińczuk, M. Nakov, P. Ogrodniczuk, M. Pollak, S. Přibáň, P. Rybak, P. Steinberger, J. Yangarber, R. (Eds.), The 9th Workshop on Slavic Natural Language Processing 2023: EACL 2023 : proceedings of the workshop (SlavicNLP 2023) : May 6, 2023 (pp 47-60). Association for Computational Linguistics.
  • Lee, S., Bloem, J. (2024) Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines.
    In Calzolari, N. Kan, M.-Y. Hoste, V. Lenci, A. Sakti, S. Xue, N. (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp 8662–8674) (COLING
    LREC). ELRA Language Resources Association.
1 ... 180 181 182 183 184 185 186 187 188 ... 327

The data of this list is taken from the Pure database. If you find output is missing from the list, please follow the previous link to find out how to submit to Pure. In case there are mistakes in PURE, please contact