dhr. P. (Phong) Lê MSc


  • Faculteit der Natuurwetenschappen, Wiskunde en Informatica
    ILLC
  • Bezoekadres
    Science Park 107
    Science Park 105  Amsterdam
  • Postadres:
    Postbus  94242
    1090 GE  Amsterdam
  • P.Le@uva.nl

2015

  • Lê, P. (2015). Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing. In Proceedings of the 14th International Conference on Parsing Technologies. Association for Computational Linguistics. [details]
  • Lê, P., & Zuidema, W. H. (2015). Compositional Distributional Semantics with Long Short Term Memory. In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics. [details]
  • Lê, P., & Zuidema, W. H. (2015). The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. [details]
  • Lê, P., & Zuidema, W. H. (2015). Unsupervised Dependency Parsing: Let's Use Supervised Parsers. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. [details]

2014

  • Le, P., & Zuidema, W. (2014). Inside-Outside Semantics: A Framework for Neural Models of Semantic Composition. In NIPS 2014 Workshop on Deep Learning and Representation Learning. [details] [PDF]
  • Le, P., & Zuidema, W. (2014). The Inside-Outside Recursive Neural Network model for Dependency Parsing. In 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). Stroudsburg, PA: Association for Computational Linguistics. [details]

2013

  • Le, P., Zuidema, W. H., & Scha, R. (2013). Learning from errors: Using vector-based compositional semantics for parse reranking. In Workshop on Continuous Vector Space Models and their Compositionality (ACL 2013). [details]

2012

  • Le, P., & Zuidema, W. (2012). Learning compositional semantics for open domain semantic parsing. In M. Kay, & C. Boitet (Eds.), 24th International Conference on Computational Linguistics: proceedings of COLING 2012: technical papers: 8-15 December 2012, Mumbai, India. (pp. 1535-1551). Powai, Mumbai: Indian Institute of Technology Bombay. [details] [PDF]

2016

  • Lê, P. (2016). Learning vector representations for sentences: The recursive deep learning approach [details] [PDF]
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