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Computational linguistics
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#	Item
701	ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6 Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-01-23 15:42:05 Artificial neural networks Computational neuroscience Computational linguistics Cybernetics Computational statistics Deep learning Speech recognition Recurrent neural network Convolutional neural network Long short-term memory Acoustic model Affective computing
702	Extracting Multi-document Summaries with a Double Clustering Approach Sara Botelho Silveira and Ant´ onio Branco University of Lisbon, Portugal Edif´ıcio C6, Departamento de Inform´ Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2016-05-03 09:07:18 Natural language processing Computational linguistics Data mining Automatic summarization Multi-document summarization Sentence Search engine indexing Phrase Keyword clustering ROUGE
703	Unsupervised Recognition and Clustering of Speech Overlaps in Spoken Conversations Shammur A. Chowdhury, Giuseppe Riccardi, Firoj Alam Department of Information Engineering and Computer Science, University of Trento, Ita Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-10-28 17:53:14 Computational linguistics Data mining Cluster analysis Geostatistics K-means clustering Turn-taking Image segmentation Pattern recognition Speech recognition K-means++
704	The Bulgarian HPSG Treebank: Specialization of the Annotation Scheme Petya Osenova, Kiril Simov BulTreeBank Project http://www.BulTreeBank.org Linguistic Modelling Laboratory, Bulgarian Academy of Sciences Add to Reading List Source URL: bultreebank.org Language: English - Date: 2003-12-07 15:03:45 Syntax Grammar Generative linguistics Computational linguistics Treebank Head-driven phrase structure grammar Dependency grammar Annotation Ellipsis Constituent Coordination Argument
705	Automatic Semantic Role Annotation for Spanish Eckhard Bick Institute of Language and Communication University of Southern Denmark Abstract Add to Reading List Source URL: visl.sdu.dk Language: English - Date: 2009-10-07 04:35:40 Semantics Syntax Computational linguistics Grammar Thematic roles Valency Theta role Dependency grammar Object SemEval Argument Grammatical relation
706	Published as a conference paper at ICLRM ULTI - TASK S EQUENCE TO S EQUENCE L EARNING Minh-Thang Luong∗, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser Google Brain ,{qvl,ilyasu,vin Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-01 20:44:46 Machine learning Computational linguistics Artificial neural networks Computational neuroscience Computer-assisted translation Feature learning Parsing Machine translation Neural machine translation Autoencoder Evaluation of machine translation Multi-task learning
707	FLSA: Extending Latent Semantic Analysis with features for dialogue act classification Riccardo Serafin CEFRIEL Via FuciniMilano, Italy Add to Reading List Source URL: nlp.cs.uic.edu Language: English - Date: 2013-03-02 15:00:28 Natural language processing Computational linguistics Latent semantic analysis Machine learning Search engine indexing LSA Fair Labor Standards Act Semantic analysis
708	A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow Dept. of Computer Science Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2006-09-05 17:00:19 Phylogenetics Computational phylogenetics Maximum parsimony Quantitative comparative linguistics Cladistics Graeco-Armenian Phylogenetic tree UPGMA Perfect phylogeny Neighbor joining Lexical Distance matrices in phylogeny
709	ABOUT MANUSCRIPTS FOR IJ ITA Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:47:02 Natural language processing Computational linguistics Search engine indexing Semantic similarity N-gram Statistical classification Latent semantic analysis CEDAR-FOX
710	First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation Steven Neale, Lu´ıs Gomes and Ant´onio Branco Department of Informatics Faculty of Sciences University of Lisbon, Portug Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2016-05-03 08:30:24 Computational linguistics Word-sense disambiguation WordNet Machine translation Semantic network Word-sense induction Bitext word alignment Synonym ring Semantic similarity Natural language processing Language model Statistical machine translation

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