Position Type:

  • Lassonde Undergraduate Research Award- summer research
  • NSERC USRA

Position Title:  Research Assistant/summer researcher

Location: Lassonde 2054

Professor: Hui Jiang

Department: EECS

Contact for Professor (Email, phone): hj@cse.yorku.ca;    x33346

# of positions available: 2

Project Description:

Deep Learning Approaches to Extract Information from Web data

Deep neural networks (DNNs) have achieved huge successes in many pattern classification tasks, including speech recognition, computer vision, and machine translation. 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, information extraction, coreference resolution, language understanding and inference, probabilistic reasoning. More specifically, the student will implement text pre-processing, training data preparation, neural model training and performance evaluation for the selected NLP task based on some standard corpora. Meanwhile, the student will perform literature survey and learn new models for these tasks. At the end, the student will implement the model for 1-2 selected tasks and conduct experiments and make presentations to report the results and findings. The student may be required to collect necessary data to complete this search project.

Duties and Responsibilities of the student:

programmer; experimenting. The student will implement some new algorithms for 1-2 chosen topics and compare their results with baseline systems. Besides, the student will perform literature survey and learn new models for these tasks. The student will implement the model for 1-2 selected tasks and conduct experiments.

Skills and Qualifications:

(Technical Skills)   programming skills in Java/Python/…

Stipend: TBD

Duration: 16 weeks minimum

Start Date: 05/01/2018 (estimated)

End Date: 08/31/2018 (estimated)

 

If you are interested in this research project, please contact Dr. Hui Jiang at hj@cse.yorku.ca