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1
Cognitive aspects of computational language acquisition
Villavicencio, Aline [Herausgeber]; Poibeau, Thierry [Herausgeber]; Korhonen, Anna [Herausgeber]. - 2013
DNB Subject Category Language
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2
Cognitive Aspects of Computational Language Acquisition
Villavicencio, Aline Herausgeber]. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013
DNB Subject Category Language
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3
Cognitive Aspects of Computational Language Acquisition
Villavicencio, Aline; Poibeau, Thierry; Korhonen, Anna. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013
UB Frankfurt Linguistik
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4
Tools and procedures for the acquisition of morphological and syntactic information from corpora
In: Wörterbücher. Dictionaries. Dictionnaires: Ein internationales Handbuch zur Lexikographie. An International Encyclopedia of Lexicography. Encyclopédie international de lexicographie (HSK 5.4) (2013), 1405-1415
IDS OBELEX meta
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5
Cognitive Aspects of Computational Language Acquisition
Villavicencio, Aline; Poibeau, Thierry; Korhonen, Anna. - : HAL CCSD, 2013. : Springer, 2013
In: https://hal.archives-ouvertes.fr/hal-00783282 ; Springer, pp.330, 2013, 978-3-642-31863-4 (2013)
BASE
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6
A Tensor-based Factorization Model of Semantic Compositionality
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)
Abstract: International audience ; In this paper, we present a novel method for the computation of compositionality within a distributional framework. The key idea is that compositionality is modeled as a multi-way interaction between latent factors, which are automatically constructed from corpus data. We use our method to model the composition of subject verb object triples. The method consists of two steps. First, we compute a latent factor model for nouns from standard co-occurrence data. Next, the latent factors are used to induce a latent model of three-way subject verb object interactions. Our model has been evaluated on a similarity task for transitive phrases, in which it exceeds the state of the art.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
URL: https://hal.archives-ouvertes.fr/hal-00997334/file/naaclhlt2013.pdf
https://hal.archives-ouvertes.fr/hal-00997334
https://hal.archives-ouvertes.fr/hal-00997334/document
BASE
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7
Computational Modeling as a Methodology for Studying Human Language Learning
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)
BASE
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8
Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review
Guo, Yufan; Silins, Ilona; Stenius, Ulla. - : Oxford University Press, 2013
BASE
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9
Automatic induction of verb classes using clustering
Sun, Lin. - : University of Cambridge, 2013. : Faculty of Computer Science and Technology, 2013. : Computer Laboratory, 2013
BASE
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