Дисертації з теми "Intelligent language processing"
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Lerjebo, Linus, and Johannes Hägglund. "Intelligent chatbot assistant: A study of Natural Language Processing and Artificial Intelligence." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42691.
Повний текст джерелаHuang, Qiang. "Speech and language processing for intelligent call routing." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426693.
Повний текст джерелаGlinos, 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.
Повний текст джерелаThe 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 speech category (e.g., noun, verb, preposition), now rivals human performance levels, achieving accuracies exceeding 95%. Such taggers have proved useful as preprocessors for such tasks as parsing, speech synthesis, and information retrieval. Parsing remains, however, a difficult problem, even with the benefit of POS tagging. Moveover, as sentence length increases, there is a corresponding combinatorial explosing of alternative possible parses. Consider the following sentence from a New York Times online article: After Salinas was arrested for murder in 1995 and lawyers for the bank had begun monitoring his accounts, his personal banker in New York quietly advised Salinas' wife to move the money elsewhere, apparently without the consent of the legal department. To facilite the parsing and other tasks, we would like to decompose this sentence into the following three shorter sentences which, taken together, convey the same meaning as the original: 1. Salinas was arrested for murder in 1995. 2. Lawyers for the bank had begun monitoring his accounts. 3. His personal banker in New York quietly adviced Salinas' wife to move the money elsewhere, apprently without the consent of the legal department. This study investigates the development of heuristics for decomposing such long sentences into sets of shorter sentences without affecting the meaning of the original sentences. Without parsing or semantic analysis, heuristic rules were developed based on: (1) the output of a POS tagger (Brill's tagger); (2) the punctuation contained in the input sentences; and (3) the words themselves. The heuristic algorithms were implemented in an intelligent editor program which first augmented the POS tags and assigned tags to punctuation, and then tested the rules against a corpus of 25 New York Times online articles containing approximately 1,200 sentences and over 32,000 words, with good results. Recommendations are made for improving the algorithms and for continuing this line of research.
M.S.;
Computer Science
Arts and Sciences
Computer Science;
220 p.
xii, 220 leaves, bound : ill. ; 28 cm.
Amaral, Luiz Alexandre Mattos do. "Designing intelligent language tutoring systems for integration into foreign language instruction." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179979688.
Повний текст джерелаAmaral, Luiz A. "Designing intelligent language tutoring systems for integration into foreign language instruction." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1179979688.
Повний текст джерелаMoiseeva, Alena [Verfasser], and Hinrich [Akademischer Betreuer] Schütze. "Statistical natural language processing methods for intelligent process automation / Alena Moiseeva ; Betreuer: Hinrich Schütze." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1218466944/34.
Повний текст джерелаBailey, Stacey M. "Content Assessment in Intelligent Computer-aided Language Learning: Meaning Error Diagnosis for English as a Second Language." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1204556485.
Повний текст джерелаSasa, Yuko. "Intelligence Socio-Affective pour un Robot : primitives langagières pour une interaction évolutive d'un robot de l’habitat intelligent." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM041/document.
Повний текст джерелаThe Natural Language Processing (NLP) has technically improved regarding human speech vocabulary extension, morphosyntax scope, style and aesthetic. Affective Computing also tends to integrate an “emotional” dimension with a common goal shared with NLP which is to disambiguate the natural language and increase the human-machine interaction naturalness. Within social robotics, the interaction is modelled in dialogue systems trying to reach out an attachment dimension which effects need to an ethical and collective control. However, the situated natural language dynamics is undermining the automated system’s efficiency, which is trying to respond with useful and suitable feedbacks. This thesis hypothesis supposes the existence of a “socio-affective glue” in every interaction, set up in between two individuals, each with a social role depending on a communication context. This glue is so the consequence of dynamics generated by a process which mechanisms rely on an altruistic dimension, but independent of dominance dimension as seen in emotions studies. This glue would allow the exchange of the language events between interlocutors, by regularly modifying their relation and their role, which is changing themselves this glue, to ensure the communication continuity. The second hypothesis proposes the glue as built by “socio-affective pure prosody” forms that enable this relational construction. These cues are supposed to be carried by hearable and visible micro-expressions. The interaction events effect would also be gradual following the degree of the communication’s intentionality control. The graduation will be continuous through language primitives as 1) mouth noises (neither phonetics nor phonological sounds), 2) pre-lexicalised sounds, 3) interjections and onomatopoeias, 4) controlled command-based imitations with the same socio-affective prosody supposed to create and modify the glue. Within the Domus platform, we developed an almost living-lab methodology. It functions on agile and iterative loops co-constructed with industrial and societal partners. A wizard of oz approach – EmOz – is used to control the vocal primitives proposed as the only language tools of a Smart Home butler robot interacting with relationally isolated elderly. The relational isolation allows the dimensions the socio-affective glue in a contrastive situation where it is damaged. We could thus observe the primitives’ effects through multimodal language cues. One of the gerontechnology social motivation showed the isolation to be a phenomenon amplifying the frailty so can attest the emergence of assistive robotics. A vicious circle leads by the elderly communicational characteristics convey them to some difficulties to maintain their relational tissue while their bonds are beneficial for their health and well-being. If the proposed primitives could have a real effect on the glue, the automated system will be able to train the persons to regain some unfit mechanisms underlying their relational construction, and so possibly increase their desire to communicate with their human social surroundings. The results from the collected EEE corpus show the relation changes through various interactional cues, temporally organised. These denoted parameters tend to build an incremental dialogue system in perspectives – SASI. The first steps moving towards this system reside on a speech recognition prototype which robustness is not based on the accuracy of the recognised language content but on the possibility to identify the glue degree (i.e. the relational state) between the interlocutors. Thus, the recognition errors avoid the system to be rejected by the user, by tempting to be balanced by this system’s adaptive socio-affective intelligence
Wärmegård, Erik. "Intelligent chatbot assistant: A study of integration with VOIP and Artificial Intelligence." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42693.
Повний текст джерелаI utvecklingen av intelligenta system har sjukvården etablerat sig som en stor målgrupp. Trots avancerade tekniker så är sjukvården fortfarande under tung belastning. Målet för detta examensarbete är att undersöka möjligheten av en chatbot vars syfte är att lätta på arbetsbelastningen hos sjukvårdspersonalen och samtidigt erbjuda en garanti för att patienter får den tillsyn och återkoppling de behöver. Med hjälp av Artificiell Intelligens, VOIP, Natural Language Processing och webbutveckling kan denna chatbot kommunicera med patienten. Chatboten agerar som ett assisterande verktyg som står för ett förarbete i beslutstagandet för sjukvårdspersonal. Ett systemsom inte bara ger praktisk nytta utan också ett främjande av den utveckling som Artificiell Intelligens gör inom sjukvården. Systemet administreras genom en hemsida som kopplar samman de flera olika komponenterna. Här kan en administratör initiera samtal och spara klienter som ska ringas till databasen. För att kunna fastställa att systemet opererar i realtid har görs flertalet prestandatester avseende både tidsfördröjningar och samtalskvalité.
Kauppi, Ilkka. "Intermediate language for mobile robots : a link between the high-level planner and low-level services in robots /." Espoo [Finland] : VTT Technical Research Centre of Finland, 2003. http://www.vtt.fi/inf/pdf/publications/2003/P510.pdf.
Повний текст джерелаDabiri, Sina. "Application of Deep Learning in Intelligent Transportation Systems." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/87409.
Повний текст джерелаPHD
Boyd, Adriane Amelia. "Detecting and Diagnosing Grammatical Errors for Beginning Learners of German: From Learner Corpus Annotation to Constraint Satisfaction Problems." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325170396.
Повний текст джерелаElvir, Miguel. "EPISODIC MEMORY MODEL FOR EMBODIED CONVERSATIONAL AGENTS." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3000.
Повний текст джерелаM.S.Cp.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering MSCpE
Laurent, Mario. "Recherche et développement du Logiciel Intelligent de Cartographie Inversée, pour l’aide à la compréhension de texte par un public dyslexique." Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAL016/document.
Повний текст джерелаChildren with language impairment, such as dyslexia, are often faced with important difficulties when learning to read and during any subsequent reading tasks. These difficulties tend to compromise the understanding of the texts they must read during their time at school. This implies learning difficulties and may lead to academic failure. Over the past fifteen years, general tools developed in the field of Natural Language Processing have been transformed into specific tools for that help with and compensate for language impaired students' difficulties. At the same time, the use of concept maps or heuristic maps to encourage dyslexic children express their thoughts, or retain certain knowledge, has become popular. This thesis aims to identify and explore knowledge about the dyslexic public, how society takes care of them and what difficulties they face; the pedagogical possibilities opened up by the use of maps; and the opportunities created by automatic summarization and Information Retrieval fields. The aim of this doctoral research project was to create an innovative piece of software that automatically transforms a given text into a map. It was important that this piece of software facilitate reading comprehension while including functionalities that are adapted to dyslexic teenagers. The project involved carrying out an exploratory experiment on reading comprehension aid, thanks to heuristic maps, that make the identification of new research topics possible, and implementing an automatic mapping software prototype that is presented at the end of this thesis
Silvestre, Cerdà Joan Albert. "Different Contributions to Cost-Effective Transcription and Translation of Video Lectures." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62194.
Повний текст джерела[ES] Durante estos últimos años, los repositorios multimedia on-line han experimentado un gran crecimiento que les ha hecho establecerse como fuentes fundamentales de conocimiento, especialmente en el área de la educación, donde se han creado grandes repositorios de vídeo charlas educativas para complementar e incluso reemplazar los métodos de enseñanza tradicionales. No obstante, la mayoría de estas charlas no están transcritas ni traducidas debido a la ausencia de soluciones de bajo coste que sean capaces de hacerlo garantizando una calidad mínima aceptable. Soluciones de este tipo son claramente necesarias para hacer que las vídeo charlas sean más accesibles para hablantes de otras lenguas o para personas con discapacidades auditivas. Además, dichas soluciones podrían facilitar la aplicación de funciones de búsqueda y de análisis tales como clasificación, recomendación o detección de plagios, así como el desarrollo de funcionalidades educativas avanzadas, como por ejemplo la generación de resúmenes automáticos de contenidos para ayudar al estudiante a tomar apuntes. Por este motivo, el principal objetivo de esta tesis es desarrollar una solución de bajo coste capaz de transcribir y traducir vídeo charlas con un nivel de calidad razonable. Más específicamente, abordamos la integración de técnicas estado del arte de Reconocimiento del Habla Automático y Traducción Automática en grandes repositorios de vídeo charlas educativas para la generación de subtítulos multilingües de alta calidad sin requerir intervención humana y con un reducido coste computacional. Además, también exploramos los beneficios potenciales que conllevaría la explotación de la información de la que disponemos a priori sobre estos repositorios, es decir, conocimientos específicos sobre las charlas tales como el locutor, la temática o las transparencias, para crear sistemas de transcripción y traducción especializados mediante técnicas de adaptación masiva. Las soluciones propuestas en esta tesis han sido testeadas en escenarios reales llevando a cabo nombrosas evaluaciones objetivas y subjetivas, obteniendo muy buenos resultados. El principal legado de esta tesis, The transLectures-UPV Platform, ha sido liberado públicamente como software de código abierto, y, en el momento de escribir estas líneas, está sirviendo transcripciones y traducciones automáticas para diversos miles de vídeo charlas educativas en nombrosas universidades e instituciones Españolas y Europeas.
[CAT] Durant aquests darrers anys, els repositoris multimèdia on-line han experimentat un gran creixement que els ha fet consolidar-se com a fonts fonamentals de coneixement, especialment a l'àrea de l'educació, on s'han creat grans repositoris de vídeo xarrades educatives per tal de complementar o inclús reemplaçar els mètodes d'ensenyament tradicionals. No obstant això, la majoria d'aquestes xarrades no estan transcrites ni traduïdes degut a l'absència de solucions de baix cost capaces de fer-ho garantint una qualitat mínima acceptable. Solucions d'aquest tipus són clarament necessàries per a fer que les vídeo xarres siguen més accessibles per a parlants d'altres llengües o per a persones amb discapacitats auditives. A més, aquestes solucions podrien facilitar l'aplicació de funcions de cerca i d'anàlisi tals com classificació, recomanació o detecció de plagis, així com el desenvolupament de funcionalitats educatives avançades, com per exemple la generació de resums automàtics de continguts per ajudar a l'estudiant a prendre anotacions. Per aquest motiu, el principal objectiu d'aquesta tesi és desenvolupar una solució de baix cost capaç de transcriure i traduir vídeo xarrades amb un nivell de qualitat raonable. Més específicament, abordem la integració de tècniques estat de l'art de Reconeixement de la Parla Automàtic i Traducció Automàtica en grans repositoris de vídeo xarrades educatives per a la generació de subtítols multilingües d'alta qualitat sense requerir intervenció humana i amb un reduït cost computacional. A més, també explorem els beneficis potencials que comportaria l'explotació de la informació de la que disposem a priori sobre aquests repositoris, és a dir, coneixements específics sobre les xarrades tals com el locutor, la temàtica o les transparències, per a crear sistemes de transcripció i traducció especialitzats mitjançant tècniques d'adaptació massiva. Les solucions proposades en aquesta tesi han estat testejades en escenaris reals duent a terme nombroses avaluacions objectives i subjectives, obtenint molt bons resultats. El principal llegat d'aquesta tesi, The transLectures-UPV Platform, ha sigut alliberat públicament com a programari de codi obert, i, en el moment d'escriure aquestes línies, està servint transcripcions i traduccions automàtiques per a diversos milers de vídeo xarrades educatives en nombroses universitats i institucions Espanyoles i Europees.
Silvestre Cerdà, JA. (2016). Different Contributions to Cost-Effective Transcription and Translation of Video Lectures [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/62194
TESIS
Venter, Wessel Johannes. "An embodied conversational agent with autistic behaviour." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20115.
Повний текст джерелаENGLISH ABSTRACT: In this thesis we describe the creation of an embodied conversational agent which exhibits the behavioural traits of a child who has Asperger Syndrome. The agent is rule-based, rather than arti cially intelligent, for which we give justi cation. We then describe the design and implementation of the agent, and pay particular attention to the interaction between emotion, personality and social context. A 3D demonstration program shows the typical output to conform to Asperger-like answers, with corresponding emotional responses.
AFRIKAANSE OPSOMMING: In hierdie tesis beskryf ons die ontwerp en implementasie van 'n gestaltegespreksagent wat die gedrag van 'n kind met Asperger se sindroom uitbeeld. Ons regverdig die besluit dat die agent reël-gebaseerd is, eerder as 'n ware skynintelligensie implementasie. Volgende beskryf ons die wisselwerking tussen emosies, persoonlikheid en sosiale konteks en hoe dit inskakel by die ontwerp en implementasie van die agent. 'n 3D demonstrasieprogram toon tipiese ooreenstemmende Asperger-agtige antwoorde op vrae, met gepaardgaande emosionele reaksies.
Panesar, Kulvinder. "Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective." Vernon Press, 2020. http://hdl.handle.net/10454/18140.
Повний текст джерелаThis chapter encapsulates the multi-disciplinary nature that facilitates NLP in AI and reports on a linguistically orientated conversational software agent (CSA) (Panesar 2017) framework sensitive to natural language processing (NLP), language in the agent environment. We present a novel computational approach of using the functional linguistic theory of Role and Reference Grammar (RRG) as the linguistic engine. Viewing language as action, utterances change the state of the world, and hence speakers and hearer’s mental state change as a result of these utterances. The plan-based method of discourse management (DM) using the BDI model architecture is deployed, to support a greater complexity of conversation. This CSA investigates the integration, intersection and interface of the language, knowledge, speech act constructions (SAC) as a grammatical object, and the sub-model of BDI and DM for NLP. We present an investigation into the intersection and interface between our linguistic and knowledge (belief base) models for both dialogue management and planning. The architecture has three-phase models: (1) a linguistic model based on RRG; (2) Agent Cognitive Model (ACM) with (a) knowledge representation model employing conceptual graphs (CGs) serialised to Resource Description Framework (RDF); (b) a planning model underpinned by BDI concepts and intentionality and rational interaction; and (3) a dialogue model employing common ground. Use of RRG as a linguistic engine for the CSA was successful. We identify the complexity of the semantic gap of internal representations with details of a conceptual bridging solution.
Li, Wenhui. "Sentiment analysis: Quantitative evaluation of subjective opinions using natural language processing." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/28000.
Повний текст джерелаJarmasz, Mario. ""Roget's Thesaurus" as a lexical resource for natural language processing." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26493.
Повний текст джерелаRogers, Paul Anton Peter. "The baby project : processing character patterns in textual representations of language." Thesis, Bournemouth University, 2000. http://eprints.bournemouth.ac.uk/306/.
Повний текст джерелаAugustsson, Christopher. "Multipurpose Case-Based Reasoning System, Using Natural Language Processing." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104890.
Повний текст джерелаKeller, 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.
Повний текст джерелаMost 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 commonly used to generate fixed length representations of natural language sequences, and analyze their effectiveness across a variety of high and low level tasks including sentence classification and question answering. Additionally, we propose novel improvements to the existing Skip-Thought and End-to-End Memory Network architectures and study their performance on both the original and auxiliary tasks. Ultimately, we show that the setting in which the encoders are trained, and the corpus used for training, have a greater influence of the final learned representation than the underlying sequence encoders themselves.
Meyer, Christopher Henry. "On improving natural language processing through phrase-based and one-to-one syntactic algorithms." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1096.
Повний текст джерелаLeroy, Gondy, Hsinchun Chen, and Jesse D. Martinez. "A shallow parser based on closed-class words to capture relations in biomedical text." Elsevier, 2003. http://hdl.handle.net/10150/105844.
Повний текст джерелаNatural language processing for biomedical text currently focuses mostly on entity and relation extraction. These entities and relations are usually pre-specified entities, e.g., proteins, and pre-specified relations, e.g., inhibit relations. A shallow parser that captures the relations between noun phrases automatically from free text has been developed and evaluated. It uses heuristics and a noun phraser to capture entities of interest in the text. Cascaded finite state automata structure the relations between individual entities. The automata are based on closed-class English words and model generic relations not limited to specific words. The parser also recognizes coordinating conjunctions and captures negation in text, a feature usually ignored by others. Three cancer researchers evaluated 330 relations extracted from 26 abstracts of interest to them. There were 296 relations correctly extracted from the abstracts resulting in 90% precision of the relations and an average of 11 correct relations per abstract.
Sabri, Ayoub Diar. "Leveraging Artificial Intelligence For Sustained Organizational Competitive Advantage : A Study In Natural Language Processing And Dynamic Capabilities." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301650.
Повний текст джерелаTeknologier som Artificiell Intelligens (AI) och Maskininlärning (ML) splittrar industrier världen över, och kategoriseras som drivkrafter bakom en teknologisk revolution. Effekterna på ekonomin spekuleras uppnå hundratals miljarder USD, som påverkar staters skatteintäkter markant. Företag som lyckas begagna sådan teknologi genom att utveckla långvariga konkurrensfördelar är i slutändan de företag som kommer se framgång. Dessa fördelar härstammar från de dynamiska förmågorna i ett företag, och karakteriseras av organisationella och lednings-orienterade processer som används för att stå emot effekterna av utomstående fluktuationer i marknaden, exemplifierat av den teknologiska revolutionen driven av AI. Den bedrivna forskningen ämnade att analysera hur ett företag inom tele- och molnkommunikation begagnar AI för att materialisera konkurrensfördelar. Forskningen bedrevs i två primära delar. Först, genom att utveckla en ML modell för språkagnostisk dokumenthämtning (LaDPR), och utvärdera prestandan i jämförelse med Facebooks Dense Passage Retrieval (DPR) modell. ML experimenten visar att den utvecklade LaDPR modellen presterar i snitt 2x bättre än Facebooks DPR modell på flerspråkig dokument-hämtning. Prestandaförbättringarna stiger upp till 4x, ifall engelska exkluderas, vilket är det språk som DPR tränades på. Genom att föra intervjuer med nyckelpersoner undersöktes det hur sådana teknologiska framsteg exploateras i de organisationella målen för konkurrensfördelar. Specifika nyckelförmågor som automatiserat beslutsfattande, kunskapsintegrering och plattformmognad är tre huvudsakliga organisationella och ledningsorienterade processer som avancerade AI system kan underbinda. Resultaten visar att processen av en högteknologisk avdelning som fokuserar på utveckling av avancerade AI system, som sedan paketeras tillsammans med ingenjörskompetens, för slutgiltig överföring av ägarskap, i slutändan förenas i svårimiterade dynamiska förmågor, som materialiseras i konkurrensfördelar.
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.
Повний текст джерелаEl Procesamiento del Lenguaje Natural (PLN) es la rama de la Inteligencia Artificial que se ocupa de la comprensión y la generación de lenguage, tomando como referencia el lenguaje humano. Hoy, el PLN se basa en gran medida en la explotación de grandes cantidades de corpus sin anotar, a partir de los cuales se derivan representaciones de gran calidad para la comprensión automática de texto, tales como representaciones vectoriales o grafos de conocimiento. Además, el PLN también explota información estructurada y parcialmente estructurada como ontologías, bases de conocimiento (BCs), enciclopedias o diccionarios. En esta tesis presentamos varias mejoras del estado del arte en tareas de PLN tales como la extracción de definiciones e hiperónimos, descubrimiento de hiperónimos, inducción de taxonomías o construcción y enriquecimiento de BCs, y en todas ellas incorporamos repositorios de varios tipos, evaluando su contribución en diferentes áreas del PLN. Por otra parte, también usamos técnicas de PLN para crear, mejorar o extender repositorios ya existentes, y los publicamos junto con su código asociado con el fin de que sean de utilidad para la comunidad.
Antici, Francesco. "Advanced techniques for cross-language annotation projection in legal texts." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23884/.
Повний текст джерелаAtkinson, Elizabeth A. M. "Artificial intelligence and the operation of merchant ships : aspects of natural language processing which relate to marine systems." Thesis, Cardiff University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369725.
Повний текст джерелаCotra, Aditya Kousik. "Trend Analysis on Artificial Intelligence Patents." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104823936441.
Повний текст джерелаPanesar, Kulvinder. "Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions." Universitat Politécnica de Valéncia, 2020. http://hdl.handle.net/10454/18121.
Повний текст джерелаThis paper aims to demystify the hype and attention on chatbots and its association with conversational artificial intelligence. Both are slowly emerging as a real presence in our lives from the impressive technological developments in machine learning, deep learning and natural language understanding solutions. However, what is under the hood, and how far and to what extent can chatbots/conversational artificial intelligence solutions work – is our question. Natural language is the most easily understood knowledge representation for people, but certainly not the best for computers because of its inherent ambiguous, complex and dynamic nature. We will critique the knowledge representation of heavy statistical chatbot solutions against linguistics alternatives. In order to react intelligently to the user, natural language solutions must critically consider other factors such as context, memory, intelligent understanding, previous experience, and personalized knowledge of the user. We will delve into the spectrum of conversational interfaces and focus on a strong artificial intelligence concept. This is explored via a text based conversational software agents with a deep strategic role to hold a conversation and enable the mechanisms need to plan, and to decide what to do next, and manage the dialogue to achieve a goal. To demonstrate this, a deep linguistically aware and knowledge aware text based conversational agent (LING-CSA) presents a proof-of-concept of a non-statistical conversational AI solution.
Holzer, Corey T. "The application of natural language processing to open source intelligence for ontology development in the advanced persistent threat domain." Thesis, Purdue University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10249704.
Повний текст джерелаOver the past decade, the Advanced Persistent Threat (APT) has risen to forefront of cybersecurity threats. APTs are a major contributor to the billions of dollars lost by corporations around the world annually. The threat is significant enough that the Navy Cyber Power 2020 plan identified them as a “must mitigate” threat in order to ensure the security of its warfighting network.
Reports, white papers, and various other open source materials offer a plethora of information to cybersecurity professionals regarding these APT attacks and the organizations behind them but mining and correlating information out of these various sources needs the support of standardized language and a common understand of terms that comes from an accepted APT ontology.
This paper and its related research applies the science of Natural Language Processing Open Source Intelligence in order to build an open source Ontology in the APT domain with the goal of building a dictionary and taxonomy for this complex domain.
Rolnic, Sergiu Gabriel. "Anonimizzazione di documenti mediante Named Entity Recognition e Neural Language Model." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Знайти повний текст джерелаau, os goh@murdoch edu, and Ong Sing Goh. "A framework and evaluation of conversation agents." Murdoch University, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20081020.134601.
Повний текст джерелаAvenberg, Anna. "Automatic language identification of short texts." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421032.
Повний текст джерелаSuddrey, 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.
Повний текст джерелаOldham, Joseph Dowell. "Generating documents by means of computational registers." Lexington, Ky. : [University of Kentucky Libraries], 2000. http://lib.uky.edu/ETD/ukycosc2000d00006/oldham.pdf.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains ix, 169 p. : ill. Includes abstract. Includes bibliographical references (p. 160-167).
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.
Повний текст джерелаScience, Faculty of
Computer Science, Department of
Graduate
Idris, Muhammad. "Real-time Business Intelligence through Compact and Efficient Query Processing Under Updates." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/5/contratMI.pdf.
Повний текст джерелаDoctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Minhas, Saliha Z. "A corpus driven computational intelligence framework for deception detection in financial text." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25345.
Повний текст джерелаAljadri, Sinan. "Chatbot : A qualitative study of users' experience of Chatbots." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105434.
Повний текст джерелаDen föreliggande studie har haft som syfte att undersöka användarnas upplevelse av Chatbot utifrån verksamhetsperspektiv och konsumentperspektiv. Studien har också fokuserat på att lyfta fram vilka begränsningar en Chatbot kan ha och eventuella förbättringar för framtida utvecklingen. Studien är baserad på en kvalitativ forskningsmetod med semistrukturerade intervjuer som har analyserats utifrån en tematisk analys. Resultatet av intervjumaterialet har analyserat utifrån tidigare forskning och olika teoretiska perspektiv som Artificial Intelligence (AI), Natural Language Processing (NLP). Resultatet av studien har visat att upplevelsen av Chatbot kan skilja sig mellan verksamheter som erbjuder Chatbot, som är mer positiva och konsumenter som använder det som kundtjänst. Begränsningar och förslag på förbättringar kring Chatbotar är också ett genomgående resultat i studien.
Janevski, Angel. "UniversityIE: Information Extraction From University Web Pages." UKnowledge, 2000. http://uknowledge.uky.edu/gradschool_theses/217.
Повний текст джерелаMahendru, Aroma. "Role of Premises in Visual Question Answering." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78030.
Повний текст джерелаMaster of Science
Marquard, Stephen. "Improving searchability of automatically transcribed lectures through dynamic language modelling." Thesis, University of Cape Town, 2012. http://pubs.cs.uct.ac.za/archive/00000846/.
Повний текст джерелаGrefenstette, 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.
Повний текст джерелаGoh, Ong Sing. "A framework and evaluation of conversation agents." Thesis, Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. https://researchrepository.murdoch.edu.au/id/eprint/752/.
Повний текст джерелаGoh, Ong Sing. "A framework and evaluation of conversation agents." Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. http://researchrepository.murdoch.edu.au/752/.
Повний текст джерелаMills, Michael Thomas. "Natural Language Document and Event Association Using Stochastic Petri Net Modeling." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1369408524.
Повний текст джерелаArmstrong, Anna-Marie. "Unconscious processing at the subjective threshold : semantic comprehension?" Thesis, University of Sussex, 2014. http://sro.sussex.ac.uk/id/eprint/51557/.
Повний текст джерелаDe, Scalzi Marika. "An embodied approach to language comprehension in probable Alzheimer's Disease : could perceptuo-motor processing be a key to better understanding?" Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/47190/.
Повний текст джерелаOldham, Joseph D. "DEXTER: Generating Documents by means of computational registers." UKnowledge, 2000. http://uknowledge.uky.edu/gradschool_diss/321.
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