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Language classification
Results: 982

#	Item
241	Content development for ICPS Fall and Pressure Ulcer Healthcare Incident Types Professor Bill Runciman 1,2 Dr Tim Schultz 2 Ms Natalie Hannaford 2 1 Professor, Patient Safety & Healthcare Human Factors Add to Reading List Source URL: www.apsf.net.au Language: English - Date: 2013-05-24 01:53:58 Knowledge representation Medical classification Medical terms SNOMED CT Information science Patient safety Ontology Systematized Nomenclature of Medicine Web Ontology Language Medicine Health Semantic Web
242	Combining semantic interpretation and statistical classification for improved explanation processing in a tutorial dialogue system Myroslava O. Dzikovska, Elaine Farrow, and Johanna D. Moore? School of Informatics, Unive Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-07-03 12:16:35 Natural language processing Semantic similarity SemEval Statistical classification Classifier Logic programming AutoTutor Computational linguistics Linguistics Science
243	THE TV PARENTAL GUIDELINES THE RATINGS Audience: indicates the audience for which a television program is appropriate. Content Label: indicates a show may contain higher levels of violence, sex, adult language, or sugges Add to Reading List Source URL: tvguidelines.org Language: English - Date: 2010-01-22 07:22:40 Television content rating systems Motion picture rating system Motion Picture Association of America film rating system Violence Maritime Film Classification Board Canadian Home Video Rating System Censorship TV Parental Guidelines Television in the United States
244	13 Classification of Localization Utterances using a Spatial Ontology Mohammad Fazleh Elahi1 , Hui Shi1 , John A. Bateman1 , Kathleen M. Eberhard2 , Matthias Scheutz3 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-08-08 03:00:51 Computational linguistics Knowledge Information science Knowledge representation Technical communication Language Ontology Natural language processing Semantics Science Meaning Linguistics
245	Microsoft Word - trailer.doc Add to Reading List Source URL: www.ibai-publishing.org Language: English - Date: 2010-10-13 08:38:06 Artificial intelligence Machine learning Data mining Natural language processing Text mining Neural network Information retrieval Statistical classification Book:Machine Learning - The Complete Guide Science Data analysis Statistics
246	APPLICATION FOR ATTENDANCE AND REIMBURSEMENT OF LANGUAGE COURSE Add to Reading List Source URL: www.arbetsformedlingen.se Language: English - Date: 2014-12-08 10:10:57 International Standard Classification of Education UNESCO Social Security Unemployment Professor Education Knowledge Academia
247	Making the Most of Limited Data: Network methods and language documentation. April McMahon University of Edinburgh In some cases of language documentation, linguists (and likewise colleagues from other disciplines) may e Add to Reading List Source URL: www.hrelp.org Language: English - Date: 2006-10-12 15:52:17 Languages of South America Scientific method Methodology Quantitative research Research Quantitative analyst Aymara language Shall and will Statistical classification Science Evaluation methods Research methods
248	Two Studies of Opportunistic Programming: Interleaving Web Foraging, Learning, and Writing Code Joel Brandt1,2 , Philip J. Guo1 , Joel Lewenstein1 , Mira Dontcheva2 , Scott R. Klemmer1 1 2 Stanford University HCI Group Add to Reading List Source URL: pgbovine.net Language: English - Date: 2014-01-03 23:24:44 Internet search World Wide Web Web search query Web services Programmer Programming language Web 2.0 SQL Web query classification Information science Computing Information retrieval
249	POSITION TITLE: Administration & Data Coordinator EMPLOYER: North Melbourne Language & Learning Inc. (NMLL) LOCATION: Ground Floor, 33 Alfred St, North Melbourne 3051 CLASSIFICATION: : Neighbourhood Houses and Adult Comm Add to Reading List Source URL: www.nmll.org.au Language: English - Date: 2015-03-02 18:04:33 Auditing Internal audit
250	Baselines and Bigrams: Simple, Good Sentiment and Topic Classification Sida Wang and Christopher D. Manning Department of Computer Science Stanford University Stanford, CA 94305 {sidaw,manning}@stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-05-24 23:21:00 Statistical classification Natural language processing Support vector machine Learning Document classification Cross-validation Naive Bayes classifier Active learning Sentiment analysis Statistics Machine learning Artificial intelligence