Neural models for natural language processing
Session: Summer 2015
Professor: Jiang, Hui
Research Area: Speech and language processing
Deep neural networks (DNNs) have achieved huge successes in many pattern classification tasks, including speech recognition and computer vision. In this project, the student will study DNN-based models for an interesting natural language processing (NLP) task, selecting from word embedding, language modelling, paraphrase or others. More specifically, the student will implement text pre-processing, neural model training and performance evaluation for the selected NLP task based on some standard corpora.
Required prerequisite background: strong at math; matlab programming.