Word Embedding Model

AbstractWe propose a new word embedding model, inspired by GloVe, which is formulated as a feasible least squares optimization problem. In contrast to existing models, we explicitly represent the uncertainty …...

AbstractDisambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were developed to solve this task. However, …...

Non-native speakers of English tend to use in- appropriate expressions when relating to aca- demic writing. This may cause a non-fluent essay and probably unable to convey the pre- cise …...

AbstractIn this paper, we propose a method to generate personalized filled pauses (FPs) with group-wise prediction models. Compared with fluent text generation, disfluent text generation has not been widely explored. …...