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Annoter et prédire des représentations linguistiques de phrases
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In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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Pseudorelatives: Parsing Preferences and their Natural Concealment
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Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
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In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
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To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children ...
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More Data and New Tools. Advances in Parsing the Index Thomisticus Treebank ...
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More Data and New Tools. Advances in Parsing the Index Thomisticus Treebank ...
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To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children
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Modelos de procesamiento sintáctico y sus implicaciones para el estudio del lenguaje / Syntactic processing models and their implications for the study of language
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In: Revista de Estudos da Linguagem, Vol 29, Iss 3, Pp 2117-1262 (2021) (2021)
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A Model of Unsupervised Formal Learning for Natural Language
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Abstract:
236 pages ; Formal language theory has shown that strong notions of learnability do not apply directly to classes of formal language that may include natural languages, regardless of the number of strings presented to the learner. However, research in statistical learning has shown that neural network language models can predict certain linguistic properties when trained on text alone. Unsupervised statistical models that leverage grammar formalisms have not yet achieved the same level of performance, despite advantages in interpretability. I introduce a variably supervised learning algorithms that can directly apply the rules of a number of different grammar formalisms to learn from natural language texts. This algorithm, the Missing Link algorithm, allows for the direct comparison of different grammar formalisms and learning environments. I compare results for Combinatory Categorial Grammars, Tree-Adjoining Grammars, and Relational Grammars with a number of different parameters. These results show that weakly equivalent grammar formalisms, such as CCGs and TAGs, perform differently in unsupervised learning and that directly encoding linguistic features into Relational Grammars can improve performance at specific linguistic tasks, at least in English. I also show that the same algorithm can be used to learn simple a semantics semantics using Abstract Meaning Representations. These results open new lines of research into the exploration of learning models for natural language.
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Keyword:
combinatory categorial grammar; grammar formalisms; semantic parsing; syntactic theory; tree-adjoining grammar; unsupervised learning
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URL: http://dissertations.umi.com/cornellgrad:12154
https://doi.org/10.7298/fj3m-7673
https://hdl.handle.net/1813/103003
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| 10 |
Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese
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In: SLATE ; https://hal.archives-ouvertes.fr/hal-03020185 ; SLATE, Jul 2020, Barcelos (virtual), Portugal. pp.11:1-11:14, ⟨10.4230/OASIcs.SLATE.2020.11⟩ ; http://slate-conf.org/2020/home (2020)
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| 12 |
АКТУАЛЬНЫЕ ПРОБЛЕМЫ СИНТАКСИСА РЕЧИ И АНАЛИЗ ПО ЧЛЕНАМ ПРЕДЛОЖЕНИЯ ... : ACTUAL PROBLEMS OF SPEECH SYNTAX AND PARSING ...
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Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese ...
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Syntactic Priming During Sentence Comprehension: Evidence for the Lexical Boost
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In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014, Vol. 40, No. 4, pp. 905-918. (2020)
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| 15 |
The Role of Information Theory in Gap-Filler Dependencies
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In: Proceedings of the Society for Computation in Linguistics (2020)
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MG Parsing as a Model of Gradient Acceptability in Syntactic Islands
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In: Proceedings of the Society for Computation in Linguistics (2020)
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The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Annotation syntaxique automatique de la partie orale du ORFÉO
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In: Langages, N 219, 3, 2020-08-11, pp.87-102 (2020)
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| 19 |
MASSE: Modular Automated Syntactic Signature Extraction
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In: RESSI 2019 - Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information ; https://hal.inria.fr/hal-02159947 ; RESSI 2019 - Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information, May 2019, Erquy, France. pp.1 (2019)
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Adapting a Metagrammar for Contemporary French to Medieval French ; Adaptation d'une métagrammaire du français contemporain au français médiéval
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In: TALN-RECITAL 2019 - 26e édition de la conférence TALN (Traitement Automatique des Langues Naturelles) et 21e édition de la conférence jeunes chercheur·euse·s RECITAL ; https://hal.inria.fr/hal-02147686 ; TALN-RECITAL 2019 - 26e édition de la conférence TALN (Traitement Automatique des Langues Naturelles) et 21e édition de la conférence jeunes chercheur·euse·s RECITAL, Jul 2019, Toulouse, France (2019)
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