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1001 |
Teaching Computational Linguistics ; Challenges and Target Audiences
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Amaro, Raquel. - : COPEC - Science and Education Research Council, 2016
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1002 |
Automated Learning of Event Coding Dictionaries for Novel Domains with an Application to Cyberspace
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1003 |
Short text classification of clinical questions
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Abstract:
A clinical question is a question that a health care provider may have, during a patient encounter in a clinical setting. This thesis describes the design and implementation of a text classification system to automatically classify a clinical question into various categories based on a hierarchical taxonomy designed by researchers. The system implements natural language processing and machine learning based techniques to automatically classify a clinical question. This question classification system would be integrated into an Evidence-Based Point-of-Care clinical decision support system providing concise, practical, readily accessible information from various resources to facilitate fast and accurate decision making. The system would analyze clinical questions on both the syntactic and semantic level (extraction of noun phrases and nouns, identifying them like disease/syndrome using ontology). This study presents an initial prototype and the long term goal of the project is to classify all types of clinical questions with good results. ; MS ; Artificial Intelligence Center ; Artificial Intelligence ; Khaled Rasheed ; Khaled Rasheed ; Walter D. Potter ; Mark Ebell
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Keyword:
Clinical Question; Machine Learning; Natural Language Processing; Short-text; Text Classification
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URL: http://hdl.handle.net/10724/36782 http://purl.galileo.usg.edu/uga_etd/jindal_shubham_201608_ms
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1004 |
On link predictions in complex networks with an application to ontologies and semantics
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Entrup, Bastian. - : Justus-Liebig-Universität Gießen, 2016. : FB 05 - Sprache, Literatur, Kultur. Germanistik, 2016
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1005 |
Ensembles of Text and Time-Series Models for Automatic Generation of Financial Trading Signals
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1006 |
Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text
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1007 |
Extracting biomedical events from pairs of text entities
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In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01313324 ; BMC Bioinformatics, BioMed Central, 2015, 16 (Suppl 10), pp.S8. ⟨10.1186/1471-2105-16-S10-S8⟩ ; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-16-S10-S8 (2015)
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1008 |
Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization
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1009 |
Guided Probabilistic Topic Models for Agenda-setting and Framing
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1010 |
PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS
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In: Master's Theses (2014)
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1011 |
Entity Information Extraction using Structured and Semi-structured resources ...
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1012 |
The USAGE review corpus for fine-grained, multi-lingual opinion analysis ...
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1013 |
The USAGE review corpus for fine-grained, multi-lingual opinion analysis ...
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1014 |
The USAGE review corpus for fine-grained, multi-lingual opinion analysis
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1015 |
Deep stochastic sentence generation : resources and strategies
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In: TDX (Tesis Doctorals en Xarxa) (2014)
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1016 |
Supervised and semi-supervised statistical models for word-based sentiment analysis ; Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse
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1017 |
Identification of Informativeness in Text using Natural Language Stylometry
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In: Electronic Thesis and Dissertation Repository (2014)
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1018 |
Analysing discourse and text complexity for learning and collaborating ; L'analyse de la complexité du discours et du texte pour apprendre et collaborer
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In: https://tel.archives-ouvertes.fr/tel-00978420 ; Education. Université de Grenoble; Universitatea politehnica (Bucarest), 2013. Français. ⟨NNT : 2013GRENH004⟩ (2013)
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1019 |
Pour une démarche centrée sur l'utilisateur dans les ENT. Apport au Traitement Automatique des Langues.
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In: https://tel.archives-ouvertes.fr/tel-01070522 ; Sciences de l'information et de la communication. Université de Caen, 2013 (2013)
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1020 |
Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case-study
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In: Biomedical Informatics Insights ; https://hal.archives-ouvertes.fr/hal-01972779 ; Biomedical Informatics Insights, 2013, 13p (2013)
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