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A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples ...
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A Root of a Problem: Optimizing Single-Root Dependency Parsing ...
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Compositional Languages Emerge in a Neural Iterated Learning Model
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In: 8th International Conference on Learning Representations ; https://hal.archives-ouvertes.fr/hal-02914840 ; 8th International Conference on Learning Representations, Apr 2020, Addis Ababa, Ethiopia (2020)
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Multi-view representation learning for natural language processing applications
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Understanding and generating language with abstract meaning representation
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Unlexicalized Transition-based Discontinuous Constituency Parsing
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In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02150073 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2019, 7, pp.73--89. ⟨10.1162/tacl_a_00255⟩ (2019)
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Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle
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In: 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019) ; https://hal.archives-ouvertes.fr/hal-02150076 ; 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019), Jun 2019, Minneapolis, MN, United States. pp.204--217 ; https://naacl2019.org/ (2019)
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Unlexicalized Transition-based Discontinuous Constituency Parsing ...
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Unlexicalized Transition-based Discontinuous Constituency Parsing
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 73-89 (2019) (2019)
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Privacy-preserving Neural Representations of Text
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In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ; 2018 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02135081 ; 2018 Conference on Empirical Methods in Natural Language Processing, Nov 2018, Brussels, Belgium. pp.1--10 (2018)
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Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning ...
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Unsupervised Bilingual POS Tagging with Markov Random Fields ...
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Unsupervised Bilingual POS Tagging with Markov Random Fields ...
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Multilingual Clustering of Streaming News ...
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Abstract:
Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows scalable processing of massive news streams. To this end, we describe a novel method for clustering an incoming stream of multilingual documents into monolingual and crosslingual story clusters. Unlike typical clustering approaches that consider a small and known number of labels, we tackle the problem of discovering an ever growing number of cluster labels in an online fashion, using real news datasets in multiple languages. Our method is simple to implement, computationally efficient and produces state-of-the-art results on datasets in German, English and Spanish. ... : Accepted at EMNLP 2018 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
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URL: https://arxiv.org/abs/1809.00540 https://dx.doi.org/10.48550/arxiv.1809.00540
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