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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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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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Abstract:
Among all the tasks that exist in Information Extraction, Entity Linking, also referred to as entity disambiguation or entity resolution, is a new and important problem which has recently caught the attention of a lot of researchers in the Natural Language Processing (NLP) community. The task involves linking/matching a textual mention of a named-entity (like a person or a movie-name) to an appropriate entry in a database (e.g. Wikipedia or IMDB). If the database does not contain the entity it should return NIL (out-of-database) value. Existing techniques for linking named entities in text mostly focus on Wikipedia as a target catalog of entities. Yet for many types of entities, such as restaurants and cult movies, relational databases exist that contain far more extensive information than Wikipedia. In this dissertation, we introduce a new framework, called Open-Database Entity Linking (Open-DB EL), in which a system must be able to resolve named entities to symbols in an arbitrary database, without ...
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Keyword:
Computational Linguistics; Computer Science; Entity Linking; Information Science; Machine Learning; Named-entity Recognition; Natural Language Processing; Text Mining
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URL: https://dx.doi.org/10.34944/dspace/3554 https://scholarshare.temple.edu/handle/20.500.12613/3572
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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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