Факторный граф

Existing work in fine-grained sentiment anal- ysis focuses on sentences and phrases but ig- nores the contribution of individual words and their grammatical connections. This is because of a lack …...

A vast majority of L1 vocabulary acqui- sition occurs through incidental learning during reading (Nation, 2001; Schmitt et al., 2001). We propose a probabilistic ap- proach to generating code-mixed text …...

This paper integrates techniques in natural language processing and computer vision to improve recognition and description of entities and activities in real-world videos. We propose a strategy for generating textual …...

We propose a grammar induction tech- nique for AMR semantic parsing. While previous grammar induction techniques were designed to re-learn a new parser for each target application, the recently anno- …...

Personalized language models are useful in many applications, such as personalized search and personalized recommendation. Nevertheless, it is challenging to build a personalized language model for cold start users, in …...