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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
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Abstract:
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the use of information in existing typological databases has resulted in consistent but modest improvements in system performance. We show that this is due to both intrinsic limitations of databases (in terms of coverage and feature granularity) and under-utilization of the typological features included in them. We advocate for a new approach that adapts the broad and discrete nature of typological categories to the contextual and continuous nature of machine learning algorithms used in contemporary NLP. In particular, we suggest that such an approach could be facilitated ...
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URL: https://dx.doi.org/10.17863/cam.43731 https://www.repository.cam.ac.uk/handle/1810/296683
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: Computational Linguistics, Vol 45, Iss 3, Pp 559-601 (2019) (2019)
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: https://hal.archives-ouvertes.fr/hal-01856176 ; 2018 (2018)
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
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Cognitive Aspects of Computational Language Acquisition
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In: https://hal.archives-ouvertes.fr/hal-00783282 ; Springer, pp.330, 2013, 978-3-642-31863-4 (2013)
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A Tensor-based Factorization Model of Semantic Compositionality
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In: Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (HTL-NAACL) ; Conference of the North American Chapter of the Association of Computational Linguistics (HTL-NAACL) ; https://hal.archives-ouvertes.fr/hal-00997334 ; Conference of the North American Chapter of the Association of Computational Linguistics (HTL-NAACL), Jun 2013, Atlanta, United States. pp.1142-1151 (2013)
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Computational Modeling as a Methodology for Studying Human Language Learning
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In: Cognitive Aspects of Computational Language Acquisition ; https://hal.archives-ouvertes.fr/hal-00783285 ; A. Villavicencio, T. Poibeau, A. Korhonen and A. Alishahi. Cognitive Aspects of Computational Language Acquisition, Springer, pp.1-26, 2013, Theory and Applications of Natural Language Processing, 978-3-642-31863-4 (2013)
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Multiway Tensor Factorization for Unsupervised Lexical Acquisition
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In: Proceedings of COLING 2012: Technical Papers ; COLING 2012 ; https://hal.archives-ouvertes.fr/hal-00783711 ; COLING 2012, Dec 2012, Mumbai, India. pp.2703-2720 (2012)
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Proceedings of the EACL Workshop on Computational Models of Language Acquisition and Loss
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In: https://hal.archives-ouvertes.fr/hal-00783291 ; A. Villavicencio, T. Poibeau, A. Korhonen & B. Berwick. France. Association for Computational Linguistics, pp.70, 2012, 978-1-937284-19-0 (2012)
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Latent Vector Weighting for Word Meaning in Context
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In: Proceedings of "Empirical Methods in Natural Language Processing" ; Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-00666475 ; Empirical Methods in Natural Language Processing, 2011, France (2011)
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A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents
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In: Actes de la conférence "Empirical Methods in Natural language Processing" (EMNLP) ; Empirical Methods in Natural language Processing (EMNLP) ; https://hal.archives-ouvertes.fr/hal-00666472 ; Empirical Methods in Natural language Processing (EMNLP), 2011, Edinburgh, United Kingdom (2011)
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The acquisition of unrestricted feature-based conceptual representations from corpora
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In: https://hal.archives-ouvertes.fr/hal-00508665 ; 2010 (2010)
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Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora
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In: Proceedings of the Annual Meeting of the Cognitive Science Society ; The Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-00507103 ; The Annual Meeting of the Cognitive Science Society, 2010, United States. 6 p (2010)
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Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data
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In: ISSN: 1570-7075 ; EISSN: 1572-8706 ; Research on Language and Computation ; https://hal.archives-ouvertes.fr/hal-00605539 ; Research on Language and Computation, Springer Verlag, 2010, 7 (2-4), pp.137-170 (2010)
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