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Semantic role labeling systems are often designed as inductive processes over annotated resources. Supervised algorithms based on complex grammatical information achieve state-of-the-art accuracy. However, their generalization on the argument classification task is poorer, as large performance drops in out-of-domain tests showed. In this paper, a robust method based on a minimal set of grammatical...
An emotionally-personalized computer that could empathize a student, learning through a tutorial or a software program, would be an excellent application of affective computing. Towards development of this potentially beneficial technology, we describe two related evaluations of a student mental state prediction model that not only predicts student's mental state from his/her visually observable behavior...
In this paper, we would like to introduce a new approach to recover Vietnamese text's accents. Given a Vietnamese text in which accents are lost, our goal is to seek for a recovered text that yields a best lexical probability. Using a dynamic programming approach, we first build a model of language for Vietnamese as a lexical database which gives lexical probabilities to Vietnamese sentences. Second,...
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