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Neural models for natural language processing

Status: Available/Completed
Type: USRA/408*
Session: Summer 2015
Professor: Jiang, Hui
Research Area: Speech and language processing
Year: 2015

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.

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