AmirAli B. Zadeh

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As a contribution to the 2014 SPMRL shared task on parsing morphologically rich languages, we show that it is now possible to achieve high dependency accuracy using existing parsers without the need for intricate multi-parser schemes even if only small amounts of training data are available. We further show that the impact of using word vectors on parsing(More)
This paper presents a novel long-term idea to learn automatically from online multimedia content, such as videos from YouTube channels, a portfolio of nonverbal identities in the form of computational representation of prototypical gestures of a speaker. As a first step towards this vision, this paper presents proof-of-concept experiments to automatically(More)
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