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Dissertations / Theses on the topic 'Linguistics|Artificial intelligence'

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Published: 9 July 2021

Last updated: 1 February 2022

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1

Tolle, Kristin M. "Domain-independent semantic concept extraction using corpus linguistics, statistics and artificial intelligence techniques." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280502.

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For this dissertation two software applications were developed and three experiments were conducted to evaluate the viability of a unique approach to medical information extraction. The first system, the AZ Noun Phraser, was designed as a concept extraction tool. The second application, ANNEE, is a neural net-based entity extraction (EE) system. These two systems were combined to perform concept extraction and semantic classification specifically for use in medical document retrieval systems. The goal of this research was to create a system that automatically (without human interaction) enable

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2

Degirmenci, Yilmaz. "Reasoning by analogy using holographic conceptual projection." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FDegirmenci.pdf.

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3

Rudnick, Alexander James. "Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation." Thesis, Indiana University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13422906.

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<p> This thesis argues that cross-lingual word sense disambiguation (CL-WSD) can be used to improve lexical selection for machine translation when translating from a resource-rich language into an under-resourced one, especially when relatively little bitext is available. In CL-WSD, we perform word sense disambiguation, considering the senses of a word to be its possible translations into some target language, rather than using a sense inventory developed manually by lexicographers. </p><p> Using explicitly trained classifiers that make use of source-language context and of resources for the

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4

Keller, Thomas Anderson. "Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing." Thesis, University of California, San Diego, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10599339.

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<p> Most machine learning algorithms require a fixed length input to be able to perform commonly desired tasks such as classification, clustering, and regression. For natural language processing, the inherently unbounded and recursive nature of the input poses a unique challenge when deriving such fixed length representations. Although today there is a general consensus on how to generate fixed length representations of individual words which preserve their meaning, the same cannot be said for sequences of words in sentences, paragraphs, or documents. In this work, we study the encoders common

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5

Jarmasz, Mario. ""Roget's Thesaurus" as a lexical resource for natural language processing." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26493.

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This dissertation presents an implementation of an electronic lexical knowledge base that uses the 1987 Penguin edition of Roget's Thesaurus as the source for its lexical material---the first implementation of a computerized Roget's to use an entire current edition. It explains the steps necessary for taking a machine-readable file and transforming it into a tractable system. Roget's organization is studied in detail and contrasted with WordNet's. We show two applications of the computerized Thesaurus: computing semantic similarity between words and phrases, and building lexical chains in a t

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6

Incerti, Federica. "Preservice Teachers’ Perceptions of Artificial Intelligence Tutors for Learning." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1585088861453228.

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7

Espinosa-Anke, Luis. "Knowledge acquisition in the information age: the interplay between lexicography and natural language processing." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/404985.

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Natural Language Processing (NLP) is the branch of Artificial Intelligence aimed at understanding and generating language as close as possible to a human’s. Today, NLP benefits substantially of large amounts of unnanotated corpora with which it derives state-of-the-art resources for text understanding such as vectorial representations or knowledge graphs. In addition, NLP also leverages structured and semi-structured information in the form of ontologies, knowledge bases (KBs), encyclopedias or dictionaries. In this dissertation, we present several improvements in NLP tasks such as Defin

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8

Cassens, Jörg. "Explanation Awareness and Ambient Intelligence as Social Technologies." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2122.

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<p>This work focuses on the socio-technical aspects of artificial intelligence, namely how (specific types of) intelligent systems function in human workplace environments. The goal is first to get a better understanding of human needs and expectations when it comes to interaction with intelligent systems, and then to make use of the understanding gained in the process of designing and implementing such systems.</p><p>The work presented focusses on a specific problem in developing intelligent systems, namely how the artefacts to be developed can fit smoothly into existing socio-cultural settin

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9

Sinclair, Andrew J. "PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1268.

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Communication Accommodation Theory (CAT) states that individuals adapt to each other’s communicative behaviors. This adaptation is called “convergence.” In this work we explore the convergence of writing styles of users of the online music distribution plat- form SoundCloud.com. In order to evaluate our system we created a corpus of over 38,000 comments retrieved from SoundCloud in April 2014. The corpus represents comments from 8 distinct musical genres: Classical, Electronic, Hip Hop, Jazz, Country, Metal, Folk, and World. Our corpus contains: short comments, frequent misspellings, little se

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10

Peterson, Justin. "Making novelty normal : a theory of sentence processing." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8241.

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11

Tafreshi, Shabnam. "Cross-Genre, Cross-Lingual, and Low-Resource Emotion Classification." Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28088437.

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Emotions can be defined as a natural, instinctive state of mind arising from one’s circumstances, mood, and relationships with others. It has long been a question to be answered by psychology that how and what is it that humans feel. Enabling computers to recognize human emotions has been an of interest to researchers since 1990s (Picard et al., 1995). Ever since, this area of research has grown significantly and emotion detection is becoming an important component in many natural language processing tasks. Several theories exist for defining emotions and are chosen by researchers according to

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12

Glinos, Demetrios George. "An intelligent editor for natural language processing of unrestricted text." Master's thesis, University of Central Florida, 1999. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/16913.

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University of Central Florida College of Arts and Sciences Thesis<br>The understanding of natural language by computational methods has been a continuing and elusive problem in artificial intelligence. In recent years there has been a resurgence in natural language processing research. Much of this work has been on empirical or corpus-based methods which use a data-driven approach to train systems on large amounts of real language data. Using corpus-based methods, the performance of part-of-speech (POS) taggers, which assign to the individual words of a sentence their appropriate part of sp

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13

Newman-Griffis, Denis R. "Capturing Domain Semantics with Representation Learning: Applications to Health and Function." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587658607378958.

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14

McGee, David R. "Augmenting environments with multimodal interaction /." Full text open access at:, 2003. http://content.ohsu.edu/u?/etd,222.

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15

Loetzsch, Martin. "Lexicon formation in autonomous robots." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2015. http://dx.doi.org/10.18452/17121.

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"Die Bedeutung eines Wortes ist sein Gebrauch in der Sprache". Ludwig Wittgenstein führte diese Idee in der ersten Hälfte des 20. Jahrhunderts in die Philosophie ein und in verwandten Disziplinen wie der Psychologie und Linguistik setzte sich vor allem in den letzten Jahrzehnten die Ansicht durch, dass natürliche Sprache ein dynamisches System arbiträrer und kulturell gelernter Konventionen ist. Forscher um Luc Steels übertrugen diesen Sprachbegriff seit Ende der 90er Jahre auf das Gebiet der Künstlichen Intelligenz, indem sie zunächst Software-Agenten und später Robotern mittels sogen

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Cheng, Alexandra. "Chat, Connect, Collapse: A Critique on the Anthropomorphization of Chatbots in Search for Emotional Intimacy." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1107.

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This thesis is a critique on the ease in which humans tend to anthropomorphize chatbots, assigning human characteristics to entities that fundamentally will never understand the human experience. It will be further exploring these consequences on our society's socio-cultural fabric, representations of the self and identity formation in terms of communication and the essence of humanity.

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Pardo, Thiago Alexandre Salgueiro. ""Métodos para análise discursiva automática"." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29082005-172336/.

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Pesquisas em Lingüística e Lingüística Computacional têm comprovado há tempos que um texto é mais do que uma simples seqüência de sentenças justapostas. Um texto possui uma estrutura subjacente altamente elaborada que relaciona todo o seu conteúdo, atribuindo-lhe coerência. A essa estrutura dá-se o nome de estrutura discursiva, sendo ela objeto de estudo da área de pesquisa conhecida como Análise de Discurso. Diante da grande utilidade desse conhecimento para diversas aplicações de Processamento de Línguas Naturais, por exemplo, sumarização automática de textos e resolução de anáforas, a análi

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Feat, Jym. "Parametres enonciatifs et comprehension automatique de textes." Paris 6, 1986. http://www.theses.fr/1986PA066553.

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On ne peut faire de l'analyse automatique de textes de facon efficace que si on considere que le texte construit progressivement un environnement permettant l'analyse de chaque nouvel enonce. L'environnement est une collection d'objets relies par des liens de reperage et de specification. Pour acceder a ces objets, on pose l'existence d'une structure appelee situation enonciative (site), definie par trois pointeurs: moi, toi, quoi

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Crocker, Matthew Walter. "A principle-based system for natural language analysis and translation." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27863.

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Traditional views of grammatical theory hold that languages are characterised by sets of constructions. This approach entails the enumeration of all possible constructions for each language being described. Current theories of transformational generative grammar have established an alternative position. Specifically, Chomsky's Government-Binding theory proposes a system of principles which are common to human language. Such a theory is referred to as a "Universal Grammar"(UG). Associated with the principles of grammar are parameters of variation which account for the diversity of human languag

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Riedel, Marion, and Tino Schwarze. "Machine Translation (MT) - History, Theory, Problems and Usage." Universitätsbibliothek Chemnitz, 2001. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200100437.

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21

Handler, Abram. "An empirical study of semantic similarity in WordNet and Word2Vec." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1922.

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This thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends to uncover more of certain types of semantic relations than others -- with Word2Vec returning more hypernyms, synonomyns and hyponyms than hyponyms or holonyms. It also shows the probability that neighbors separated by a given cosine distance in Word2Vec are semantically related in WordNet. This result both adds to our understanding of the still-unknown Word2Vec and helps to benchmark new semantic tools built from word vectors.

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22

Moncecchi, Guillermo. "Détection du langage spéculatif dans la littérature scientifique." Phd thesis, Université de Nanterre - Paris X, 2013. http://tel.archives-ouvertes.fr/tel-00800552.

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Ce travail de thèse propose une méthodologie visant la résolution de certains problèmes de classification, notamment ceux concernant la classification séquentielle en tâches de Traitement Automatique des Langues. Afin d'améliorer les résultats de la tâche de classification, nous proposons l'utilisation d'une approche itérative basée sur l'erreur, qui intègre, dans le processus d'apprentissage, des connaissances d'un expert représentées sous la forme de "règles de connaissance". Nous avons appliqué la méthodologie à deux tâches liées à la détection de la spéculation ("hedging") dans la littérat

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23

Tabassum, Binte Jafar Jeniya. "Information Extraction From User Generated Noisy Texts." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606315356821532.

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24

Grefenstette, Edward Thomas. "Category-theoretic quantitative compositional distributional models of natural language semantics." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:d7f9433b-24c0-4fb5-925b-d8b3744b7012.

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This thesis is about the problem of compositionality in distributional semantics. Distributional semantics presupposes that the meanings of words are a function of their occurrences in textual contexts. It models words as distributions over these contexts and represents them as vectors in high dimensional spaces. The problem of compositionality for such models concerns itself with how to produce distributional representations for larger units of text (such as a verb and its arguments) by composing the distributional representations of smaller units of text (such as individual words). This thes

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Hughes, Jennifer G. "Misheard Me Oronyminator: Using Oronyms to Validate The Correctness of Frequency Dictionaries." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/936.

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In the field of speech recognition, an algorithm must learn to tell the difference between "a nice rock" and "a gneiss rock". These identical-sounding phrases are called oronyms. Word frequency dictionaries are often used by speech recognition systems to help resolve phonetic sequences with more than one possible orthographic phrase interpretation, by looking up which oronym of the root phonetic sequence contains the most-common words.Our paper demonstrates a technique used to validate word frequency dictionary values. We chose to use frequency values from the UNISYN dictionary, which tallies

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Dehdari, Jonathan. "A Neurophysiologically-Inspired Statistical Language Model." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1399071363.

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Hughes, Cameron A. "Epistemic Structures of Interrogative Domains." Youngstown State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227285777.

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28

Lin, Yunqing. "Theories of time for linquistics and artificial intelligence." Thesis, University of Essex, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303478.

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Bartl, Eduard. "Mathematical foundations of graded knowledge spaces." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.

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Nawar, Haytham. "A theoretical model for the design of a transcultural visual communication system in a posthuman condition." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/6757.

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This dissertation follows an interdisciplinary approach that weaves practice and theory in the disciplines of visual communication, semiotics, cultural studies, linguistics, and new media art. The research methodology is practice-based located within a historical and contemporary context that allows for artistic experimentation and new knowledge to be generated through reflected creative practice This research proposes a context within which society can develop a transcultural means of communication with the objective of gaining completely unambiguous forms of understanding. This research expl

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Bonaventura, Patrizia. "Invariant patterns in articulatory movements." Columbus, Ohio Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1070119339.

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Thesis (Ph.D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xxiii, 335 p.; also includes graphics (some col). Includes abstract and vita. Advisor: Osamu Fujimura, Dept. of Speech and Hearing Science. Includes bibliographical references (p. 151-165).

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Chambreuil, Michel. "Structures et processus de l'activite langagiere : aspects formels." Clermont-Ferrand 2, 1987. http://www.theses.fr/1987CLF2E399.

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Dans le contexte actuel des multiplicites d'analyse du traitement de la langue naturelle, les auteurs se sont interesses aux "entites" mises en jeu par differentes theories dans les "processus" et dans les "structures" qu'elles associent au traitement d'expressions langagieres. Les theories abordees ont ete choisies dans trois des courants actuellement dominants et issus respectivement: de la linguistique (n. Chomsky), de la logique (r. Montague), de l'intelligence artificielle (t. Winograd)

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Gargett, Ross. "The Use of Automated Speech Recognition in Electronic Health Records in Rural Health Care Systems." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/honors/340.

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Since the HITECH (Health Information Technology for Economic and Clinical Health) Act was enacted, healthcare providers are required to achieve “Meaningful Use.” CPOE (Clinical Provider Order Entry), is one such requirement. Many providers prefer to dictate their orders rather than typing them. Medical vocabulary is wrought with its own terminology and department-specific acronyms, and many ASR (Automated Speech Recognition) systems are not trained to interpret this language. The purpose of this thesis research was to investigate the use and effectiveness of ASR in the healthcare industry. Mul

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Stiff, Adam. "Mitigation of Data Scarcity Issues for Semantic Classification in a Virtual Patient Dialogue Agent." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1591007163243306.

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35

Capshaw, Riley. "Relation Classification using Semantically-Enhanced Syntactic Dependency Paths : Combining Semantic and Syntactic Dependencies for Relation Classification using Long Short-Term Memory Networks." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153877.

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Many approaches to solving tasks in the field of Natural Language Processing (NLP) use syntactic dependency trees (SDTs) as a feature to represent the latent nonlinear structure within sentences. Recently, work in parsing sentences to graph-based structures which encode semantic relationships between words—called semantic dependency graphs (SDGs)—has gained interest. This thesis seeks to explore the use of SDGs in place of and alongside SDTs within a relation classification system based on long short-term memory (LSTM) neural networks. Two methods for handling the information in these graphs a

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Dhyani, Dushyanta Dhyani. "Boosting Supervised Neural Relation Extraction with Distant Supervision." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524095334803486.

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Hughes, Tracey D. "Visualizing Epistemic Structures of Interrogative Domain Models." Youngstown State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380.

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Jimeno, Yepes Antonio José. "Ontology refinement for improved information retrieval in the biomedical domain." Doctoral thesis, Universitat Jaume I, 2009. http://hdl.handle.net/10803/384552.

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Este trabajo de tesis doctoral se centra en el uso de ontologías de dominio y su refinamiento enfocado a la recuperación de la información. El dominio seleccionado ha sido el de la Biomedicina, que dispone de una extensa colección de resúmenes en la base de datos Medline y recursos que facilitan la creación de ontologías muy extensas, tales como MeSH o UMLS. En este trabajo se ha desarrollado también un modelo de formulación de consulta que permite relacionar un modelo de documento con una ontología dentro de los modelos de lenguaje. Además hemos desarrollado un algoritmo que permite mejorar

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Wijeratne, Sanjaya. "A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1547506375922938.

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Kartsaklis, Dimitrios. "Compositional distributional semantics with compact closed categories and Frobenius algebras." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:1f6647ef-4606-4b85-8f3b-c501818780f2.

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The provision of compositionality in distributional models of meaning, where a word is represented as a vector of co-occurrence counts with every other word in the vocabulary, offers a solution to the fact that no text corpus, regardless of its size, is capable of providing reliable co-occurrence statistics for anything but very short text constituents. The purpose of a compositional distributional model is to provide a function that composes the vectors for the words within a sentence, in order to create a vectorial representation that re ects its meaning. Using the abstract mathematical fram

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Roued-Cunliffe, Henriette. "A decision support system for the reading of ancient documents." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:9d547661-4dea-4c54-832b-b2f862ec7b25.

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The research presented in this thesis is based in the Humanities discipline of Ancient History and begins by attempting to understand the interpretation process involved in reading ancient documents and how this process can be aided by computer systems such as Decision Support Systems (DSS). The thesis balances between the use of IT tools to aid Humanities research and the understanding that Humanities research must involve human beings. It does not attempt to develop a system that can automate the reading of ancient documents. Instead it seeks to demonstrate and develop tools that can support

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Rickels, Christopher A. "Inherited Ontologies and the Relations between Philosophy of Mind and the Empirical Cognitive Sciences." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1365012314.

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Landragin, Frédéric. "Dialogue homme-machine multimodal : de la pragmatique linguistique à la conception de systèmes." Habilitation à diriger des recherches, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00848533.

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Un des objectifs fondamentaux du dialogue homme-machine est de se rapprocher du dialogue naturel en langage naturel, c'est-à-dire de permettre une interaction entre la machine et son utilisateur humain dans la langue de celui-ci (langage naturel), avec une structure d'échanges similaire à un dialogue humain (dialogue naturel). Les recherches impliquées se nourrissent de travaux linguistiques qui analysent la langue et de travaux pragmatiques qui analysent l'usage du langage en contexte. Deux facettes importantes de la pragmatique linguistique portent ainsi sur les phénomènes de référence, par

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Ouni, Slim. "Parole Multimodale : de la parole articulatoire à la parole audiovisuelle." Habilitation à diriger des recherches, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00927119.

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La communication parlée est par essence multimodale. Le signal acoustique véhicule la modalité auditive, et l'image la modalité visuelle et gestuelle (déformations du visage). Le signal de parole est en effet la conséquence des déformations du conduit vocal sous l'effet du mouvement de la mâchoire, des lèvres, de la langue, etc.. pour moduler le signal d'excitation produit par les cordes vocales ou les turbulences aérodynamiques. Ces déformations sont visibles au niveau du visage (lèvres, joues, mâchoire) grâce à la coordination des différents muscles orofaciaux et de la déformation de la peau

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Thovex, Christophe. "Réseaux de Compétences : de l'Analyse des Réseaux Sociaux à l'Analyse Prédictive de Connaissances." Phd thesis, Université de Nantes, 2012. http://tel.archives-ouvertes.fr/tel-00697798.

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En 1977, Freeman formalisait les premières mesures génériques d'Analyse de Réseaux Sociaux (ARS). Puis, les réseaux sociaux du Web " 2.0 " sont devenus planétaires (e.g., FaceBook, MSN). Cette thèse définit un modèle sémantique, non probabiliste et prédictif, pour l'analyse décisionnelle de réseaux sociaux professionnels et institutionnels. Ce modèle, en parallèle à la sociophysique de Galam, intègre des méthodes de traitement sémantique du langage naturel et d'ingénierie des connaissances, des mesures de sociologie statistique et des lois électrodynamiques, appliquées à l'optimisation de la p

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Elson, David K. "Modeling Narrative Discourse." Thesis, 2012. https://doi.org/10.7916/D8CR61FJ.

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This thesis describes new approaches to the formal modeling of narrative discourse. Although narratives of all kinds are ubiquitous in daily life, contemporary text processing techniques typically do not leverage the aspects that separate narrative from expository discourse. We describe two approaches to the problem. The first approach considers the conversational networks to be found in literary fiction as a key aspect of discourse coherence; by isolating and analyzing these networks, we are able to comment on longstanding literary theories. The second approach proposes a new set of discourse

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"Towards Building an Intelligent Tutor for Gestural Languages using Concept Level Explainable AI." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.57347.

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abstract: Languages, specially gestural and sign languages, are best learned in immersive environments with rich feedback. Computer-Aided Language Learning (CALL) solu- tions for spoken languages have successfully incorporated some feedback mechanisms, but no such solution exists for signed languages. Computer Aided Sign Language Learning (CASLL) is a recent and promising field of research which is made feasible by advances in Computer Vision and Sign Language Recognition(SLR). Leveraging existing SLR systems for feedback based learning is not feasible because their decision processes are not

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"Fixed Verse Generation using Neural Word Embeddings." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.39410.

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abstract: For the past three decades, the design of an effective strategy for generating poetry that matches that of a human’s creative capabilities and complexities has been an elusive goal in artificial intelligence (AI) and natural language generation (NLG) research, and among linguistic creativity researchers in particular. This thesis presents a novel approach to fixed verse poetry generation using neural word embeddings. During the course of generation, a two layered poetry classifier is developed. The first layer uses a lexicon based method to classify poems into types based on form and

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"An Effective Approach to Biomedical Information Extraction with Limited Training Data." Doctoral diss., 2011. http://hdl.handle.net/2286/R.I.8903.

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abstract: In the current millennium, extensive use of computers and the internet caused an exponential increase in information. Few research areas are as important as information extraction, which primarily involves extracting concepts and the relations between them from free text. Limitations in the size of training data, lack of lexicons and lack of relationship patterns are major factors for poor performance in information extraction. This is because the training data cannot possibly contain all concepts and their synonyms; and it contains only limited examples of relationship patterns betw

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Ivensky, Ilya. "Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization." Thesis, 2020. http://hdl.handle.net/1866/24317.

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La segmentation des données par la langue et le thème des tests psycholinguistiques devient de plus en plus un obstacle important à la généralisation des modèles de prédiction. Cela limite notre capacité à comprendre le cœur du dysfonctionnement linguistique et cognitif, car les modèles sont surajustés pour les détails d'une langue ou d'un sujet particulier. Dans ce travail, nous étudions les approches potentielles pour surmonter ces limitations. Nous discutons des propriétés de divers modèles de plonjement de mots FastText pour l'anglais et le français et proposons un ensemble des caractéris

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