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Dissertations / Theses on the topic 'Language processing task'

Author: Grafiati

Published: 19 February 2023

Last updated: 31 July 2025

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1

Elliot, Mark James. "A computational model of task oriented discourse." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284055.

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2

Røkenes, Håkon Drolsum. "Graph-based Natural Language Processing : Graph edit distance applied to the task of detecting plagiarism." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20778.

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The focus of this thesis is the exploration of graph-based similarity, in the context of natural language processing. The work is motivated by a need for richer representations of text. A graph edit distance algorithm was implemented, that calculates the difference between graphs. Sentences were represented by means of dependency graphs, which consist of words connected by dependencies. A dependency graph captures the syntactic structure of a sentence. The graph-based similarity approach was applied to the problem of detecting plagiarism, and was compared against state of the art systems. The

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3

Ugalde-Gonzalez, Arturo. "Processing conditions as influences on task-based foreign language performance : a longitudinal study of communication strategies." Thesis, King's College London (University of London), 2006. https://kclpure.kcl.ac.uk/portal/en/theses/processing-conditions-as-influences-on-taskbased-foreign-language-performance--a-longitudinal-study-of-communication-strategies(5e7d3767-5b17-4a47-abb5-df068881a0f8).html.

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Communicative language ability requires the development of formal linguistic resources to achieve realistic language use in real contexts and in real time. Linguistic-based instruction may become: less productive and fruitful than exposure to real-world task-based instruction. This study focuses on foreign language dev~lopment over time in sixteen subjects performing task-based activities involving description, narration and problem-solving si~uations. :.a;.... Learners' do not seem to present a clear acquisition-sequencing for language forms and. language functions. The major ideas and claims

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4

Zezinka, Alexandra. "Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066.

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5

Alamry, Ali. "Grammatical Gender Processing in Standard Arabic as a First and a Second Language." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39965.

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The present dissertation investigates grammatical gender representation and processing in Modern Standard Arabic (MSA) as a first (L1) and a second (L2) language. It mainly examines whether L2 can process gender agreement in a native-like manner, and the extent to which L2 processing is influenced by the properties of the L2 speakers’ L1. Additionally, it examines whether L2 gender agreement processing is influenced by noun animacy (animate and inanimate) and word order (verb-subject and subject-verb). A series of experiments using both online and offline techniques were conducted to address t

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6

Suddrey, Gavin. "Instructing and training robots through a natural language dialogue." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/229145/1/Gavin_Suddrey_Thesis.pdf.

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This thesis focused on the problem of allowing non-expert users, such as the elderly, to teach robots how to perform everyday tasks through dialogue. In particular, this thesis addressed issues relating to how task knowledge, extracted from spoken instructions, should be encoded by a robot to allow the robot to learn complex tasks; how to generalise knowledge provided by human instructors such that the robot can perform the same task across different scenarios; as well as how to handle information gaps present in the explanation of tasks provided by novice users.

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7

Foster, Pauline Mary. "Attending to message and medium : the effects of planning time on the task-based language performance of native and non-native speakers." Thesis, King's College London (University of London), 2000. https://kclpure.kcl.ac.uk/portal/en/theses/attending-to-message-and-medium--the-effects-of-planning-time-on-the-taskbased-language-performance-of-native-and-nonnative-speakers(528f66b6-1324-4ca7-a76c-0f4b3247e14a).html.

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8

Widjaja, Hendra. "Visor++ : a software visualisation tool for task-parallel object-orientated programs." Title page, abstract and contents only, 1998. http://web4.library.adelaide.edu.au/theses/09AS/09asw639.pdf.

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Bibliography: leaves 173-184. This thesis describes Visor++, a tool for visualising programs written in CC++, a task-parallel, object-orientated language derived from C++. Visor++ provides a framework of visualising task-parallel object-orientated programs in the absence of language support for visualisation, i.e. for programs such as CC++ which are written in languages which are not "visualisation-conscious". The development of techniques using a wide selection of language features are described and the effectiveness testified by experimentation.

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9

Enzinna, Naomi R. "The Processing of Preposition-Stranding Constructions in English." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/889.

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One of the prominent questions in modern psycholinguistics is the relationship between the grammar and the parser. Within the approach of Generative Grammar, this issue has been investigated in terms of the role that Principles of Universal Grammar may play in language processing. The aim of this research experiment is to investigate this topic. Specifically, this experiment aims to test whether the Minimal Structure Principle (MSP) plays a role in the processing of Preposition-Stranding versus Pied-Piped Constructions. This investigation is made with a self-paced reading task, an on-line proc

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10

Masellis, Maria C. "Evidence for temporal processing deficits in children with attention deficit hyperactivity disorder and language impairments on a dichotic listening task." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ40662.pdf.

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11

Serafini, Sandra. "Functional neuroanatomy during language processing : correspondence of cortical stimulation mapping, fMRI, PEPSI, and ERP during a visual object naming task /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/8235.

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12

Simonis, Rita. "The effects of multilingualism on executive processing." Thesis, Stockholms universitet, Centrum för tvåspråkighetsforskning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-157571.

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In the first decades of the 20th century, research on bilingualism was just beginning. The first studies on bilingual children proposed a substantial disadvantage with respect to intelligence and learning abilities. This first proposition was later discarded when Peal and Lambert (1962) suggested that, on the contrary, speaking two languages was providing children with significant advantages in their cognition. At the present time, it is assessed that, while knowing more than one language is not negative, the supposition that bilingualism might have positive effects on executive processing is

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13

Gan, Gabriela, Christian Büchel, and Frédéric Isel. "Effect of language task demands on the neural response during lexical access: a functional magnetic resonance imaging study." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-127023.

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This study examined the effects of linguistic task demands on the neuroanatomical localization of the neural response related to automatic semantic processing of concrete German nouns combining the associative priming paradigm with functional magnetic resonance imaging (fMRI). To clarify the functional role of the inferior frontal gyrus (IFG) for semantic processing with respect to semantic decision making compared to semantic processing per se, we used a linguistic task that involved either a binary decision process (i.e., semantic categorization; Experiment 1) or not (i.e., silently thinking

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Eyorokon, Vahid. "Measuring Goal Similarity Using Concept, Context and Task Features." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1534084289041091.

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15

Tovedal, Sofiea. "On The Effectiveness of Multi-TaskLearningAn evaluation of Multi-Task Learning techniques in deep learning models." Thesis, Umeå universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172257.

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Multi-Task Learning is today an interesting and promising field which many mention as a must for achieving the next level advancement within machine learning. However, in reality, Multi-Task Learning is much more rarely used in real-world implementations than its more popular cousin Transfer Learning. The questionis why that is and if Multi-Task Learning outperforms its Single-Task counterparts. In this thesis different Multi-Task Learning architectures were utilized in order to build a model that can handle labeling real technical issues within two categories. The model faces a challenging im

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16

Gibson, Bob. "Think aloud, non-continuous reporting, and annotated cloze : using verbal report and a self-coding procedure in looking at German and Japanese informants' processing of a second language cloze task." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/24611.

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Following a survey of the history and nature of the cloze test as applied to second-language assessment, the study looks at the role of introspective and verbal-report data in understanding second-language test-taking processes. Particular attention is paid to the verbal report task format known as ‘think-aloud’. The theoretical bases of this procedure are critiqued, and some problematic aspects of its use in the study of linguistic tasks are discussed. Attention is drawn to apparent divergences between the model of think-aloud and its real-world applications. The use of think-aloud in the stu

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17

Kayesh, Humayun. "Deep Learning for Causal Discovery in Texts." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/415822.

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Causality detection in text data is a challenging natural language processing task. This is a trivial task for human beings as they acquire vast background knowledge throughout their lifetime. For example, a human knows from their experience that heavy rain may cause flood or plane accidents may cause death. However, it is challenging to automatically detect such causal relationships in texts due to the availability of limited contextual information and the unstructured nature of texts. The task is even more challenging for social media short texts such as Tweets as often they are informal, sh

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18

Medlock, Benjamin William. "Investigating classification for natural language processing tasks." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611949.

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19

Dockes, Jérôme. "Statistical models for comprehensive meta-analysis of neuroimaging studies." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT048.

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La neuroimagerie permet d’étudier les liens entre la structure et le fonctionnement du cerveau. Des milliers d’études de neuroimagerie sont publiées chaque année. Il est difficile d’exploiter cette grande quantité de résultats. En effet, chaque étude manque de puissance statistique et peut reporter beaucoup de faux positifs. De plus, certains effets sont spécifiques à un protocole expérimental et difficile à reproduire. Les méta-analyses rassemblent plusieurs études pour identifier les associations entre structures anatomiques et processus cognitifs qui sont établies de manière consistante dan

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Dyson, Lucy. "Insights into language processing in aphasia from semantic priming and semantic judgement tasks." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19144/.

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The nature of semantic impairment in people with aphasia (PWA) provides the background to the current study, which examines whether different methods of semantic assessment can account for such deficits. Cognitive ability, which has previously been linked to language ability in PWA, may impact on test performance and was therefore also examined. The aims of the current study were to compare performance of control participants and PWA on implicit and explicit assessment of semantics, and to relate it to performance on tests of cognition. The impact of semantically similar versus associative rel

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21

Laws, Florian [Verfasser], and Hinrich [Akademischer Betreuer] Schütze. "Effective active learning for complex natural language processing tasks / Florian Laws. Betreuer: Hinrich Schütze." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2013. http://d-nb.info/1030521204/34.

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22

Zahidin, Ahmad Zamri. "Using Ada tasks (concurrent processing) to simulate a business system." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/539634.

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Concurrent processing has always been a traditional problem in developing operating systems. Today, concurrent algorithms occur in many application areas such as science and engineering, artificial intelligence, business systems databases, and many more. The presence of concurrent processing facilities allows the natural expression of these algorithms as concurrent programs. This is a very distinct advantage if the underlying computer offers parallelism. On the other hand, the lack of concurrent processing facilities forces these algorithms to be written as sequential programs, thus, destroyin

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23

Curiel, Diaz Arturo Tlacaélel. "Using formal logic to represent sign language phonetics in semi-automatic annotation tasks." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30308/document.

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Cette thèse présente le développement d'un framework formel pour la représentation des Langues de Signes (LS), les langages des communautés Sourdes, dans le cadre de la construction d'un système de reconnaissance automatique. Les LS sont de langues naturelles, qui utilisent des gestes et l'espace autour du signeur pour transmettre de l'information. Cela veut dire que, à différence des langues vocales, les morphèmes en LS ne correspondent pas aux séquences de sons; ils correspondent aux séquences de postures corporelles très spécifiques, séparés par des changements tels que de mouvements. De pl

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24

Lorello, Luca Salvatore. "Small transformers for Bioinformatics tasks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23883/.

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Recent trends in bioinformatics are trying to align the techniques to more modern approaches based on statistical natural language processing and deep learning, however state-of-the-art neural natural language processing techniques remain relatively unexplored in this domain. Large models are capable of achieving state-of-the-art performances, however, a typical bioinformatics lab has limited hardware resources. For this reason, this thesis focuses on small architectures, the training of which can be performed in a reasonable amount of time, while trying to limit or even negate the performa

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25

Chan, Siu-Yuen. "Efficent user level infrastructure support for adaptive parallel computing on heterogenous networks of workstations." Thesis, Queensland University of Technology, 2000.

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26

Hikima, Noriko. "The effects of processing instruction and re-exposure on interpretation discourse level tasks : the case of Japanese passive forms." Thesis, University of Greenwich, 2010. http://gala.gre.ac.uk/6604/.

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The present study was conducted to investigate possible interpretation discourse level effects of processing instruction and re-exposure to processing instruction on the acquisition of a specific feature of the Japanese linguistics system: namely Japanese passive forms. Processing instruction is a type of focus on form which is framed around the input processing theoretical framework. In order to carry out this investigation two separate experimental studies were conducted. All participants were native English speakers and were randomly assigned to two groups. In both experimental studies, one

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27

Milajevs, Dmitrijs. "A study of model parameters for scaling up word to sentence similarity tasks in distributional semantics." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/36225.

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Representation of sentences that captures semantics is an essential part of natural language processing systems, such as information retrieval or machine translation. The representation of a sentence is commonly built by combining the representations of the words that the sentence consists of. Similarity between words is widely used as a proxy to evaluate semantic representations. Word similarity models are well-studied and are shown to positively correlate with human similarity judgements. Current evaluation of models of sentential similarity builds on the results obtained in lexical experime

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Al-Hadlaq, Mohammed S. "Retention of words learned incidentally by Saudi EFL learners through working on vocabulary learning tasks constructed to activate varying depths of processing." Virtual Press, 2003. http://liblink.bsu.edu/uhtbin/catkey/1263891.

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This study investigated the effectiveness of four vocabulary learning tasks on 104 Saudi EFL learners' retention of ten previously unencountered lexical items. These four tasks were: 1) writing original sentences (WS), 2) writing an original text (i.e. composition) (WT), 3) filling-in-the-blank of single sentences (FS), and 4) filling-in-the-lank of a text (FT). Different results were obtained depending on whether the amount of time required by these tasks was considered in the analysis or not. When time was not considered in the analysis, the WT group outperformed the other groups while the F

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Chen, Charles L. "Neural Network Models for Tasks in Open-Domain and Closed-Domain Question Answering." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1578592581367428.

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30

Bouguelia, Sara. "Modèles de dialogue et reconnaissance d'intentions composites dans les conversations Utilisateur-Chatbot orientées tâches." Electronic Thesis or Diss., Lyon 1, 2023. http://www.theses.fr/2023LYO10106.

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Les Systèmes de Dialogue (ou simplement chatbots) sont très demandés de nos jours. Ils permettent de comprendre les besoins des utilisateurs (ou intentions des utilisateurs), exprimés en langage naturel, et de répondre à ces intentions en invoquant les APIs (Interfaces de Programmation d’Application) appropriées. Les chatbots sont connus pour leur interface facile à utiliser et ils ne nécessitent que l'une des capacités les plus innées des humains qui est l'utilisation du langage naturel. L'amélioration continue de l'Intelligence Artificielle (IA), du Traitement du Langage Naturel (NLP) et du

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31

Malapetsa, Christina. "Stroop tasks with visual and auditory stimuli : How different combinations of spoken words, written words, images and natural sounds affect reaction times." Thesis, Stockholms universitet, Institutionen för lingvistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-185057.

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The Stroop effect is the delay in reaction times due to interference. Since the original experiments of 1935, it has been used primarily in linguistic context. Language is a complex skill unique to humans, which involves a large part of the cerebral cortex and many subcortical regions. It is perceived primarily in auditory form (spoken) and secondarily in visual form (written), but it is also always perceived in representational form (natural sounds, images, smells, etc). Auditory signals are processed much faster than visual signals, and the language processing centres are closer to the prima

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32

Felce, Catherine. "L’ouverture de l’énoncé en allemand L2 : De la compréhension d’un phénomène à son appropriation et à son enseignement. Perspectives en didactique des langues." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCA157/document.

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Notre recherche vise à enrichir la réflexion didactique sur les modalités d’un enseignement susceptible de favoriser dès les premières années d’apprentissage de l’allemand au collège (soit en 6ème et en 5ème) la mise en place de préférences discursives spécifiques à la langue-cible. Plutôt que de nous focaliser sur le placement verbal second dans les énoncés déclaratifs, nous avons fait le choix de nous intéresser à l’ouverture et à la position préverbale. Il s’agit en effet d’un champ que des apprenants même avancés n’investissent pas de manière conforme, en dépit d’une maîtrise avérée des rè

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33

Scarlato, Michele. "Sicurezza di rete, analisi del traffico e monitoraggio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3223/.

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Il lavoro è stato suddiviso in tre macro-aree. Una prima riguardante un'analisi teorica di come funzionano le intrusioni, di quali software vengono utilizzati per compierle, e di come proteggersi (usando i dispositivi che in termine generico si possono riconoscere come i firewall). Una seconda macro-area che analizza un'intrusione avvenuta dall'esterno verso dei server sensibili di una rete LAN. Questa analisi viene condotta sui file catturati dalle due interfacce di rete configurate in modalità promiscua su una sonda presente nella LAN. Le interfacce sono due per potersi interfacciar

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34

LIN, JI-WEI, and 林季緯. "Multi-label Classification with Multi-task learning - A case study of Natural Language Processing." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9a6q4q.

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碩士<br>國立交通大學<br>工業工程與管理系所<br>108<br>Natural language processing (NLP) is always an important research topic. Many NLP problems such as spam filtering, text classification, movie rating, and toxic comment detection, are present in our daily life. In recent years, with the development of deep learning and the improvement of computing power, many studies have applied deep learning to deal with NLP problems. Deep learning model uses a large amount of training data to automatically extract features, giving a base to extract important and discriminative features from data, and achieve promising resu

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"Domain-Agnostic Context-Aware Assistant Framework for Task-Based Environment." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.57245.

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abstract: Smart home assistants are becoming a norm due to their ease-of-use. They employ spoken language as an interface, facilitating easy interaction with their users. Even with their obvious advantages, natural-language based interfaces are not prevalent outside the domain of home assistants. It is hard to adopt them for computer-controlled systems due to the numerous complexities involved with their implementation in varying fields. The main challenge is the grounding of natural language base terms into the underlying system's primitives. The existing systems that do use natural language

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"An in-depth look of phonological processing in Chinese character recognition: the effects of task." 1997. http://library.cuhk.edu.hk/record=b5889289.

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Werfelmann, Robert. "A Study of Recurrent and Convolutional Neural Networks in the Native Language Identification Task." Thesis, 2018. http://hdl.handle.net/10754/627954.

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Native Language Identification (NLI) is the task of predicting the native language of an author from their text written in a second language. The idea is to find writing habits that transfer from an author’s native language to their second language. Many approaches to this task have been studied, from simple word frequency analysis, to analyzing grammatical and spelling mistakes to find patterns and traits that are common between different authors of the same native language. This can be a very complex task, depending on the native language and the proficiency of the author’s second language.

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Atapattu, Mudiyanselage Thushari Dilhani Atapattu. "A computational model for task-adapted knowledge organisation: improving learning through concept maps extracted from lecture slides." Thesis, 2015. http://hdl.handle.net/2440/95127.

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This thesis presents a framework for automatically generating concept maps from lecture slides. A concept map is recognised as a valuable educational visualisation tool, which assists students in organising, sharing and representing knowledge. Expert maps (also known as expert concept maps) are prepared by domain experts with the intention to serve as scaffolding to facilitate learning. Automated concept map generation provides an alternative solution to the labour-intensive and time-consuming process of manually constructing expert maps. Therefore, the main objective of this thesis is to deve

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Sturrock, Sara Katheleen. "Electroencephalographic correlates of cerebral engagement in auditory and visual language processing tasks in persons with down syndrome." Thesis, 2002. http://hdl.handle.net/2429/13260.

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There has been extensive research performed regarding language processing in persons with Down syndrome. The results of initial dichotic listening studies and movement control studies lead Elliott Weeks and Elliott (1987) to propose a model of functional dissociation between brain centers sub-serving language perception and those sub-serving language production in persons with DS. Based on this model many new avenues of research emerged. The predictions of the model that have been tested thus far have focused on behavioural actions of persons with DS as compared to non-DS populations. T

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Yi, Li. "Why Do Young Children Fail in False Belief Tasks: Linguistic Representations and Implicit Processing." Diss., 2009. http://hdl.handle.net/10161/1192.

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<p>Despite recent evidence that infants under one year of age have implicit understanding of theory of mind, three-year-old children repeatedly fail in traditional false belief tasks. A serious of 4 studies investigated two possible sources of errors. First, children's comprehension of theory of mind questions was tested in an elicited imitation task. Second, their understanding of mental events was measured using anticipatory eye movements in non-verbal tasks. Results showed that young children's performance in verbal false belief tasks is limited by their understanding of linguistic represen

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Henriques, Daniel Filipe Rodrigues. "Automatic Completion of Text-based Tasks." Master's thesis, 2019. http://hdl.handle.net/10362/92296.

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Crowdsourcing is a widespread problem-solving model which consists in assigning tasks to an existing pool of workers in order to solve a problem, being a scalable alternative to hiring a group of experts for labeling high volumes of data. It can provide results that are similar in quality, with the advantage of achieving such standards in a faster and more efficient manner. Modern approaches to crowdsourcing use Machine Learning models to do the labeling of the data and request the crowd to validate the results. Such approaches can only be applied if the data in which the model was train

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Sankar, Chinnadhurai. "Neural approaches to dialog modeling." Thesis, 2020. http://hdl.handle.net/1866/24802.

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Cette thèse par article se compose de quatre articles qui contribuent au domaine de l’apprentissage profond, en particulier dans la compréhension et l’apprentissage des ap- proches neuronales des systèmes de dialogue. Le premier article fait un pas vers la compréhension si les architectures de dialogue neuronal couramment utilisées capturent efficacement les informations présentes dans l’historique des conversations. Grâce à une série d’expériences de perturbation sur des ensembles de données de dialogue populaires, nous constatons que les architectures de dialogue neuronal couramment utilisée

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Nouri, Golmaei Sara. "Improving the Performance of Clinical Prediction Tasks by using Structured and Unstructured Data combined with a Patient Network." Thesis, 2021. http://dx.doi.org/10.7912/C2/41.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>With the increasing availability of Electronic Health Records (EHRs) and advances in deep learning techniques, developing deep predictive models that use EHR data to solve healthcare problems has gained momentum in recent years. The majority of clinical predictive models benefit from structured data in EHR (e.g., lab measurements and medications). Still, learning clinical outcomes from all possible information sources is one of the main challenges when building predictive models. This work focuses mainly on two sources of information

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Garay, Lucas Gonzalo. "Procesamiento de imágenes médicas para generación automática de reportes." Bachelor's thesis, 2019. http://hdl.handle.net/11086/13418.

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Tesis (Lic. en Ciencias. de la Computación)--Universidad Nacional de Córdoba, Facultad de Matemática, Astronomía, Física y Computación, 2019.<br>En el presente trabajo se plantea el problema de la generación automática de reportes médicos a partir de imágenes. La redacción de informes que interpretan las imágenes médicas consume gran parte del tiempo de los especialistas. Además, en muchos casos se trata de una tarea muy repetitiva. En este contexto, un texto generado automáticamente puede reducir el trabajo del médico, que en lugar de redactar el texto completo se enfocará en revisar y modifi

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Jaime, Rodrigo. "Aprendizaje activo para la extracción de relaciones en textos." Bachelor's thesis, 2019. http://hdl.handle.net/11086/13415.

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Abstract:

Tesis (Lic. en Ciencias. de la Computación)--Universidad Nacional de Córdoba, Facultad de Matemática, Astronomía, Física y Computación, 2019.<br>A la hora de realizar un trabajo de aprendizaje automático, podemos encontrarnos con una fuente abundante de datos sin etiquetar y que su etiquetado manual sea un proceso costoso. Una técnica útil en estos casos es permitir que el algoritmo de aprendizaje consulte a un oráculo sobre las etiquetas de ciertos datos seleccionados que el algoritmo considere importantes. Este tipo de aprendizaje semi‐supervisado iterativo se llama aprendizaje activo. Utili

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