Academic literature on the topic 'Induction du sens des mots'
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Journal articles on the topic "Induction du sens des mots"
Dubar, Claude, and Didier Demazière. "E. C. Hughes, initiateur et précurseur critique de la Grounded Theory." Sociétés contemporaines 27, no. 3 (September 1, 1997): 49–55. http://dx.doi.org/10.3917/soco.p1997.27n1.0049.
Full textBOUCHAREB, Sonia. "L’EMPLOI EXCLAMATIF DE A QUEL POINT." FRANCISOLA 2, no. 2 (December 31, 2017): 121. http://dx.doi.org/10.17509/francisola.v2i2.9403.
Full textRoudiez, L. S., and Charles P. Marie. "Le sens sous les mots." World Literature Today 59, no. 3 (1985): 404. http://dx.doi.org/10.2307/40140879.
Full textMakine, Andreï. "Le sens secret des mots." La lettre de l'enfance et de l'adolescence 70, no. 4 (2007): 13. http://dx.doi.org/10.3917/lett.070.0013.
Full textPortal, Brigitte. "Des mots et des sens." Le sociographe 37, no. 1 (2012): 19. http://dx.doi.org/10.3917/graph.037.0019.
Full textMeschonnic, Henri. "Le sens du langage, non le sens des mots." Cahiers Charles V 44, no. 1 (2008): 203–25. http://dx.doi.org/10.3406/cchav.2008.1521.
Full textVanderhoeft, Claire. "Contre la Conception Sémantique Sous-Jacente a la Morphologie Dérivationnelle Associative ou Contre une Critique Faite par Corbin a la Lexicographie Traditionnelle." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 16, no. 1 (January 1, 1992): 155–87. http://dx.doi.org/10.1075/li.16.1.09van.
Full textBrossard, Nicole. "OPAYSAGES : ou la partie invisible des mots." Cahiers franco-canadiens de l'Ouest 22, no. 2 (April 23, 2012): 137–52. http://dx.doi.org/10.7202/1009119ar.
Full textChalons, Annie. "Quand les mots perdent leur sens." Travailler 9, no. 1 (2003): 173. http://dx.doi.org/10.3917/trav.009.0173.
Full textCadiot, Pierre, and Leland Tracy. "Sur le « sens opposé » des mots." Langages 37, no. 150 (2003): 31–47. http://dx.doi.org/10.3406/lgge.2003.913.
Full textDissertations / Theses on the topic "Induction du sens des mots"
Soriano-Morales, Edmundo-Pavel. "Hypergraphs and information fusion for term representation enrichment : applications to named entity recognition and word sense disambiguation." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2009/document.
Full textMaking sense of textual data is an essential requirement in order to make computers understand our language. To extract actionable information from text, we need to represent it by means of descriptors before using knowledge discovery techniques.The goal of this thesis is to shed light into heterogeneous representations of words and how to leverage them while addressing their implicit sparse nature.First, we propose a hypergraph network model that holds heterogeneous linguistic data in a single unified model. In other words, we introduce a model that represents words by means of different linguistic properties and links them together accordingto said properties. Our proposition differs to other types of linguistic networks in that we aim to provide a general structure that can hold several types of descriptive text features, instead of a single one as in most representations. This representationmay be used to analyze the inherent properties of language from different points of view, or to be the departing point of an applied NLP task pipeline. Secondly, we employ feature fusion techniques to provide a final single enriched representation that exploits the heterogeneous nature of the model and alleviates the sparseness of each representation.These types of techniques are regularly used exclusively to combine multimedia data. In our approach, we consider different text representations as distinct sources of information which can be enriched by themselves. This approach has not been explored before, to the best of our knowledge. Thirdly, we propose an algorithm that exploits the characteristics of the network to identify and group semantically related words by exploiting the real-world properties of the networks. In contrast with similar methods that are also based on the structure of the network, our algorithm reduces the number of required parameters and more importantly, allows for the use of either lexical or syntactic networks to discover said groups of words, instead of the singletype of features usually employed.We focus on two different natural language processing tasks: Word Sense Induction and Disambiguation (WSI/WSD), and Named Entity Recognition (NER). In total, we test our propositions on four different open-access datasets. The results obtained allow us to show the pertinence of our contributions and also give us some insights into the properties of heterogeneous features and their combinations with fusion methods. Specifically, our experiments are twofold: first, we show that using fusion-enriched heterogeneous features, coming from our proposed linguistic network, we outperform the performance of single features’ systems and other basic baselines. We note that using single fusion operators is not efficient compared to using a combination of them in order to obtain a final space representation. We show that the features added by each combined fusion operation are important towards the models predicting the appropriate classes. We test the enriched representations on both WSI/WSD and NER tasks. Secondly, we address the WSI/WSD task with our network-based proposed method. While based on previous work, we improve it by obtaining better overall performance and reducing the number of parameters needed. We also discuss the use of either lexical or syntactic networks to solve the task.Finally, we parse a corpus based on the English Wikipedia and then store it following the proposed network model. The parsed Wikipedia version serves as a linguistic resource to be used by other researchers. Contrary to other similar resources, insteadof just storing its part of speech tag and its dependency relations, we also take into account the constituency-tree information of each word analyzed. The hope is for this resource to be used on future developments without the need to compile suchresource from zero
Mouton, Claire. "Ressources et méthodes semi-supervisées pour l’analyse sémantique de texte en français." Paris 11, 2010. http://www.theses.fr/2010PA112375.
Full textThe possibility of performing semantic rather than purely lexical search should improve information retrieval. This Ph. D. Work aims at developing modules of lexical semantic analysis, having as a further objective to improve the textual search engine of Exalead company. Presented works deal more specifically with semantic analysis on the French language. Processing of French language is more complex due to the Jack of semantic resources and corpora for this language. Thus, make such an analysis possible implies on the one hand to provide for needs of French linguistic resources, and on the other hand, to find alternate methods which do not require any manually annotated French corpus. Our thesis is divided in three main parts followed by a conclusion. The first part is composed of two chapters which define the objectives and the context of our work. The first of them introduces our thesis. It evokes some semantic issues in the field of lnformation Retrieval, then presents the notion of sense. Finally, it identifies two semantic analysis tasks, namely word sense disambiguation and semantic role labeling. These two tasks are the two main topics we address in our whole study. They are respectively handled in part 2 and 3. The second chapter draws up a state-of-the-art review of all the topics addressed in our work. The second part tackles the word sense disambiguation issue. Chapter 3 is devoted to the building of new French resources dedicated to this task. We first describe a method to automatically translate the nominal synsets of WordNet to French, by using bilingual dictionaries and distributional spaces. Secondly, we put forward an adaptation of two existing methods of word sense induction, in order to acquire a ward senses resource in a fully automatic way. Moreover, the sense clusters built in the latter step show originality as they contain words whose syntax is similar to the syntax of the given ambiguous words. The so-called sense clusters are then used in the ward sense disambiguation algorithm that we put forward in chapter 4. This chapter also provides recommendations in order to integrate such a module in a textual search engine. Semantic role labeling is handled in the third part. Ln a similar fashion, a first chapter deals with the building of resources for the French language, whereas the following chapter presents the algorithm developed for the labeling task itself. Chapter 5 thus describes the method we propose to translate and enrich FrameNet predicates, as well as the related evaluation. We propose in chapter 6 a semi-supervised approach which uses the distributional spaces to label semantic rotes. We conclude this chapter with some considerations on the use of semantic roles in information retrieval and more specifically in the scope of question answering systems. The conclusion of our thesis summarizes our contributions. It emphasizes the fact that each step of our work uses syntactical distributional spaces and that it provides interesting results. This conclusion also draws the main perspectives we see to pursue our studies. The main and immediate concern is to integrate these semantic analysis modules into prototypes for textual documents search
Hadi, Abdine. "Leveraging Transformer-Based Language Models to Bridge the Gap Between Language and Specialized Domains." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX020.
Full textThe era of transformer-based language models has led the way in a new paradigm in Natural Language Processing (NLP), enabling remarkable performance across a wide range of tasks from both fields Natural Language Understanding (NLU) and Natural Language Generation (NLG). This dissertation delves into the transformative potential of transformer-based language models when applied to specialized domains and languages. It comprises four distinct research endeavors, each contributing to the overarching goal of enhancing language understanding and generation in specialized contexts.To address the scarcity of non-English pretrained language models in both general and specialized domains, we explore the creation of two language models JuriBERT and GreekBART. JuriBERT is a set of French legal domain-specific BERT models tailored to French text, catering to the needs of legal professionals. JuriBERT is evaluated on two French legal tasks from the court of cassation in France. The findings underscore that certain specialized tasks can be better addressed with smaller domain-specific models compared to their larger generic counterparts. We equally introduce GreekBART, the first Greek Seq2Seq model. Being based on BART, these models are particularly well-suited for generative tasks. We evaluate GreekBART's performance against other models on various discriminative tasks and assess its capabilities in NLG using two Greek generative tasks from GreekSUM, a novel dataset introduced in this research. We show GreekBART to be very competitive with state-of-the-art BERT-based multi-lingual and mono-lingual language models such as GreekBERT and XLM-R.We dive next into the domain of semantics by leveraging the transformer-based contextual embeddings to solve the challenging problem of Word Sense Induction (WSI). We propose a novel unsupervised method that utilizes invariant information clustering (IIC) and agglomerative clustering to enrich and cluster the target word representations. Extensive evaluation on two WSI tasks and multiple pretrained language models demonstrates the competitiveness of our approach compared to state-of-the-art baselines.Finally, we introduce Prot2Text framework, a multi-modal approach for generating proteins’ functions in free text by combining three modalities: protein structure, protein sequence and natural language. Prot2Text advances protein function prediction beyond traditional classifications. Integrating Graph Neural Networks (GNNs) and Large Language Models (LLMs) in an encoder-decoder framework. Empirical evaluation on a multi-modal protein dataset showcases the effectiveness of Prot2Text, offering powerful tools for function prediction in a wide range of proteins
Lauzière, Lucie. "Le sens ordinaire des mots comme règle d'interprétation." Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/4945.
Full textLopa, de Carvalho Alex. "Le rôle de la prosodie et des mots grammaticaux dans l'acquisition du sens des mots." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE072/document.
Full textPrevious research demonstrates that having access to the syntactic structure of sentences helps children to discover the meaning of novel words. This implies that infants need to get access to aspects of syntactic structure before they know many words. Since in all the world’s languages the prosodic structure of a sentence correlates with its syntactic structure, and since function words/morphemes are useful to determine the syntactic category of words, infants might use phrasal prosody and function words to bootstrap their way into lexical and syntactic acquisition. In this thesis, I empirically investigated the role of phrasal prosody and function words to constrain syntactic analysis in young children (PART 1) and whether infants exploit this information to learn the meanings of novel words (PART 2). In part 1, I constructed minimal pairs of sentences in French and in English, testing whether children exploit the relationship between syntactic and prosodic structures to drive their interpretation of noun-verb homophones. I demonstrated that preschoolers use phrasal prosody online to constrain their syntactic analysis. When listening to French sentences such as [La petite ferme][…–[The little farm][…, children interpreted ferme as a noun, but in sentences such as [La petite][ferme…] – [The little girl][closes…, they interpreted ferme as a verb (Chapter 3). This ability was also attested in English-learning preschoolers who listened to sentences such as ‘The baby flies…’: they used prosodic information to decide whether “flies” was a noun or a verb (Chapter 4). Importantly, in further studies I demonstrated that even infants around 20-months use phrasal prosody to recover syntactic structures and to predict the syntactic category of upcoming words (Chapter 5), an ability which would be extremely useful to discover the meaning of unknown words. This is what I tested in part 2: whether the syntactic information obtained from phrasal prosody and function words could allow infants to constrain their acquisition of word meanings. A first series of studies relied on right-dislocated sentences containing a novel verb in French: [ili dase], [le bébéi] - ‘hei is dasing, the babyi’ (meaning ‘the baby is dasing’) which is minimally different from the transitive sentence [il dase le bébé] (he is dasing the baby). 28-montholds were shown to exploit prosodic information to constrain their interpretation of the novel verb meaning (Chapter 6). In a second series of studies, I investigated whether phrasal prosody and function words constrain the acquisition of nouns and verbs. I used sentences like ‘Regarde la petite bamoule’, which can be produced either as [Regarde la petite bamoule!] - Look at the little bamoule!, where ‘bamoule’ is a noun, or as [Regarde], [la petite] [bamoule!] - Look, the little (one) is bamouling, where bamoule is a verb. 18-month-olds correctly parsed such sentences and attributed a noun or verb meaning to the critical word depending on its position within the syntactic-prosodic structure of the sentences (Chapter 7). Taken together, these studies show that infants exploit function words and the prosodic structure of an utterance to recover the sentences’ syntactic structure, which in turn constrains the possible meaning of novel words. This powerful mechanism might be extremely useful for infants to construct a first-pass syntactic structure of spoken sentences even before they know the meanings of many words. Although prosodic information and functional elements can surface differently across languages, our studies suggest that this information may represent a universal and extremely useful tool for infants to access syntactic information through a surface analysis of the speech stream, and to bootstrap their way into language acquisition
Temple, Martine. "Le sens des mots construits : pour un traitement dérivationnel associatif." Lille 3, 1993. http://www.theses.fr/1993LIL30001.
Full textThis study is an attempt to work a method to elaborate adequate semantic representations of constructed words. Il is postulated that one of the main functions of any semantic analysis and representation is to amount for the processes whereby linguistic units refer. On the basis of this principle a case is made out for the elaboration of an associative derivational model in morphology, where the analysis and description of constructed words are concerned. It can be shown that neither lexicographical parapharsing nor lexical semantic theories can provide adequate descriptions of the specific ways in which the referential categories referred to by constructed words are determined - thèse being dependent on the morphological structure of words - while it appears that the associative derivational treatment offerts satisfactory solutions where other treatments fail
Richet, Bertrand. "Les fractales du sens." Habilitation à diriger des recherches, Université de Nanterre - Paris X, 2011. http://tel.archives-ouvertes.fr/tel-00661997.
Full textErbén, Tova. "Une étude diachronique du suffixe -ard : un examen du sens de quelques mots médiévaux." Thesis, Stockholms universitet, Romanska och klassiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146838.
Full textWang, Ying. "Élucidation du sens des mots nouveaux en lecture du français par des étudiants chinois." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq23741.pdf.
Full textDerycke, Marc. "Lecture(s) : comment le sens vient aux mots : de la sémiotique au champ freudien." Paris 8, 1990. http://www.theses.fr/1991PA080574.
Full textThis work studies the mechanisms by which meaning is disclosed in reading. The material comes from "errors" and mistakes observed in adults, especially during the initial stages of learning, the method is based on a semiotic description of the symbol's charachteristics for combination and substitution by mathematical functions, it introduces the principle of qualitative order in the desorder of the "errors", it presupposes a renewed theory on the acts of speech and meaning. Results : 1) meaning is produced by anticipationretroaction process articulated by a basic fundamental syntax with two directed operations 2) like a joke, this process is both consciousness and unconscious, this is wky it is masked 3) the "error" is a fragment of this process that the principle of reality has not obliterated 4) the syntax of symbolic operations is at root of the cognitive functioning of the psychic apparatus 5) readoption of the process of meaning attribution in the subject himself using the topology of the borromean knot to outline plans for a speech clinic in the freudian field
Books on the topic "Induction du sens des mots"
Ackermann, Marc-Emmanuel. Peu importe le sens des mots. Grolley: Editions de L'Hèbe, 1994.
Find full textPiguet, J. Claude. Des choses, des idées et des mots: Le sens du sens. Fribourg: Edition universitaires, 2000.
Find full textHuot, Hélène. Morphologie: Forme et sens des mots du français. Paris: Colin, 2001.
Find full textChazaud, Henri Bertaud du. Dictionnaire de synonymes et mots de sens voisin. 2nd ed. Paris: Gallimard, 2003.
Find full textCaron, Maxence. Pages: Le sens, la musique et les mots. Paris: Séguier, 2009.
Find full textFrappat, Bruno. Si les mots ont un sens--: Chroniques, 1987-1993. Paris: Le Monde éditions, 1994.
Find full textMichèle, Perret, ed. La morphologie: Forme et sens des mots du français. 2nd ed. Paris: A. Colin, 2005.
Find full text(Organisation), Atelier 10, ed. 26 lettres: Abécédaire des mots en perte de sens. Montréal, Québec: A10, 2014.
Find full textTrekker, Annemarie. Les MOTS POUR S'ÉCRIRE - Tissage de sens et de lien. Paris: Editions L'Harmattan, 2006.
Find full textWolf, Marco. J'te raconte pas--: Les mots ont-ils encore un sens. Paris: Balland, 2003.
Find full textBook chapters on the topic "Induction du sens des mots"
Rosé, Isabelle. "Opus, opera, labor. Les mots et le sens des « occupations manuelles » dans la règle de Saint Benoît et ses commentaires carolingiens." In Labeur, production et économie monastique dans l’Occident médiéval, 81–125. Turnhout, Belgium: Brepols Publishers, 2021. http://dx.doi.org/10.1484/m.cem-eb.5.123777.
Full textSjögren, Tuulikki, and Hilkka Korpi. "Supporting Sense of Meaningful Life and Human Dignity in Digitally Assisted Physiotherapy Environment – Qualitative Secondary Research with Thematic Analyses and Inductive Synthesis." In Communications in Computer and Information Science, 371–86. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_27.
Full textBaker, Tawrin. "Christoph Scheiner’s The Eye, that is, The Foundation of Optics (1619): The Role of Contrived Experience at the Intersection of Psychology and Mathematics." In Archimedes, 21–54. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52954-2_2.
Full textW. Adorno, Theodor. "Sens unique de Benjamin." In Mots de l'étranger, 223–27. Éditions de la Maison des sciences de l’homme, 2022. http://dx.doi.org/10.4000/books.editionsmsh.53495.
Full textGorcy, Gérard. "À propos des mots-valises." In Les formes du sens, 145. De Boeck Supérieur, 1996. http://dx.doi.org/10.3917/dbu.kleib.1996.01.0145.
Full text"OPPOSITIONS ET RÉPÉTITIONS DE SENS." In La création des jeux de mots et des bons mots, 73–86. Presses de l'Université Laval, 2021. http://dx.doi.org/10.2307/j.ctv1hcg0hv.6.
Full textWaquet, Jean-Claude. "Chapitre Ier. Le sens des mots." In La conjuration des dictionnaires, 85–104. Presses universitaires de Strasbourg, 2000. http://dx.doi.org/10.4000/books.pus.7890.
Full text"Le sens des mots en japonais." In Le Japon au travail, 233–35. Les Presses de l’Université de Montréal, 2009. http://dx.doi.org/10.1515/9782760625402-010.
Full text"Jeux sur les Sens, les Idées et la Logique." In La création des jeux de mots et des bons mots, 49–142. Les Presses de l’Université de Laval, 2021. http://dx.doi.org/10.1515/9782763754048-003.
Full textMissire, Régis, and Christophe Gérard. "Textualité et linéarisation du sens." In L'Ordre des mots à la lecture des textes, 287–302. Presses universitaires de Lyon, 2009. http://dx.doi.org/10.4000/books.pul.2565.
Full textConference papers on the topic "Induction du sens des mots"
SAINT-JAMES, Virginie. "Fragments d’un discours du droit international." In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.620.
Full textBarry, Andrew, Adam Haecker, and Siddharth Misra. "RV/RH ANISOTROPY IN UNCONVENTIONAL FORMATIONS: RESOLVING THE RIDDLE OF RESISTIVITY." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0074.
Full textBerselli, Silvia. "Une correspondance architecturale: Ionel Schein "enfant" de Le Corbusier." In LC2015 - Le Corbusier, 50 years later. Valencia: Universitat Politècnica València, 2015. http://dx.doi.org/10.4995/lc2015.2015.1042.
Full textLabbé, Mickaël. "« L’espace indicible »: conceptions et textualités." In LC2015 - Le Corbusier, 50 years later. Valencia: Universitat Politècnica València, 2015. http://dx.doi.org/10.4995/lc2015.2015.470.
Full textHao, Yu, Xin Cao, Yixiang Fang, Xike Xie, and Sibo Wang. "Inductive Link Prediction for Nodes Having Only Attribute Information." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/168.
Full textHarihara, Parasuram P., and Alexander G. Parlos. "Sensorless Detection of Impeller Cracks in Motor Driven Centrifugal Pumps." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66273.
Full textLacerra, Caterina, Tommaso Pasini, Rocco Tripodi, and Roberto Navigli. "ALaSca: an Automated approach for Large-Scale Lexical Substitution." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/528.
Full textHarihara, Parasuram P., and Alexander G. Parlos. "Sensorless Detection of Cavitation in Centrifugal Pumps." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14655.
Full textMitchener, Ludovico, David Tuckey, Matthew Crosby, and Alessandra Russo. "Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/742.
Full textHagiwara, Teruhiko. "ML-Based Deconvolution Method Provides High Resolution Fast Inversion of Induction Log Data." In 2022 SPWLA 63rd Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2022. http://dx.doi.org/10.30632/spwla-2022-0038.
Full textReports on the topic "Induction du sens des mots"
Sadka, Avi, Mikeal L. Roose, and Yair Erner. Molecular Genetic Analysis of Citric Acid Accumulation in Citrus Fruit. United States Department of Agriculture, March 2001. http://dx.doi.org/10.32747/2001.7573071.bard.
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