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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Multi-Task Retrieval for Knowledge-Intensive Tasks ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ghosh, Gargi; Karpukhin, Vladimir. - : Underline Science Inc., 2021 BASE Show details 3 Machine learning methods for vector-based compositional semantics ... Maillard, Jean. - : Apollo - University of Cambridge Repository, 2020 Abstract: Rich semantic representations of linguistic data are an essential component to the development of machine learning algorithms for natural language processing. This thesis explores techniques to model the meaning of phrases and sentences as dense vectors, which can then be further analysed and manipulated to perform any number of tasks involving the understanding of human language. Rather than seeing this task purely as an engineering problem, this thesis will focus on linguistically-motivated approaches, based on the principle of compositionality. The first half of the thesis will be dedicated to categorial compositional models, which are based on the observation that certain types of grammars share the structure of the algebra of vector spaces. This leads to an approach where the meanings of words are modelled as multilinear maps, encoded as tensors. In this framework, the meaning of a composite linguistic phrase can be computed via the tensor multiplication of its constituents, according to the phrase's ... : EPSRC ... Keyword: compositional semantics; compositionality; computational linguistics; distributional semantics; natural language processing; nlp URL: https://www.repository.cam.ac.uk/handle/1810/294356 https://dx.doi.org/10.17863/cam.41454 BASE Hide details 4 Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models Djokic, Vesna G.; Maillard, Jean; Bulat, Luana... In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 231-246 (2020) (2020) BASE Show details 5 Machine learning methods for vector-based compositional semantics Maillard, Jean. - : University of Cambridge, 2019. : Department of Computer Science and Technology, 2019. : St John's College, 2019 BASE Show details 6 Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing ... Maillard, Jean; Clark, Stephen. - : arXiv, 2018 BASE Show details 7 RELPRON: A Relative Clause Evaluation Dataset for Compositional Distributional Semantics Rimell, Laura; Maillard, Jean; Polajnar, Tamara. - : MIT Press, 2016. : Computational Linguistics, 2016 BASE Show details 8 Plaire et Instruire. ; Plaire et Instruire.: Le spectacle dans les collèges de l'Ancien Régime Piéjus, Anne; Civardi, Jean-Marc; Naudeix, Laura. - : HAL CCSD, 2007. : Presses universitaires de Rennes, 2007 In: https://halshs.archives-ouvertes.fr/halshs-00188199 ; Presses universitaires de Rennes, pp.380, 2007 (2007) BASE Show details 9 "La fraicheur sauvage des citrons verts" : compte rendu d'experience faite avec les eleves d'un lycee francais en Amerique du Sud Maillard, Jean-Pierre In: Le français dans le monde. - Paris : CLE International 16 (1977) 128, 28-31 BLLDB Show details 10 Structures operatoires du francais : repertoire autocorrectif Balié, Michel; Célérier, Pierre; Maillard, Jean-Pierre. - o.O. : o. Verl., 1976 BLLDB Show details

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