Aaron L.-F. Han NLP2CT meeting on 4 th October, 2013 http://www.linkedin.com/in/aaronhan Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory Department of Computer and Information Science University of Macau 23 rd -27 th , September, Darmstadt, Germany
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Summary of GSCL 2013 international NLP conference in Germany
GSCL 2013: Language Processing and Knowledge in the Web - Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology, Darmstadt, Germany, on September 25–27, 2013. LNCS Vol. 8105, Volume Editors: Iryna Gurevych, Chris Biemann and Torsten Zesch.
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Aaron L.-F. Han
NLP2CT meeting on 4th October, 2013
http://www.linkedin.com/in/aaronhan
Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory
By Rada Mihalcea, Associate Professor in University of North Texas, US
http://www.cse.unt.edu/~rada/
A method that integrates linguistic, audio, and visual features for the purpose of identifying sentiment in online videos
Describe a novel dataset consisting of videos collected from the social media website YouTube and annotated for sentiment polarity at both video and utterance level
Joint use of visual, audio, and textual features greatly improves over the use of only one modality at a time
Run evaluations on datasets in English and Spanish
By Hans Uszkoreit, Professor at Saarland University & Scientific Director at the German Research Center for Artificial Intelligence (DFKI)
http://www.coli.uni-saarland.de/~hansu/
Text analytics is faced with rapidly increasing volumes of language data
Big language data are not only a challenge for language technology but also an opportunity for obtaining application-specific language models that can cope with the long tail of linguistic creativity
Such models range from statistical models to large rule systems
Using examples from relation/event extraction, illustrate the exploitation of large-scale learning data for the acquisition of application specific syntactic and semantic knowledge