留学英文简历模板CV

jinying@cis.upenn.edu Jinying Chen, page 1 Jinying Chen

University of Pennsylvania

Department of Computer and Information Science 3330 Walnut Street, Levine Hall, CIS Dept.

Philadelphia, PA, 19104

Office: (215) 573-7736

Home Address: 32 Marvin Lane Piscataway, NJ, 08854 Cell phone: (732) 668-7728 jinying@cis.upenn.edu

Education

University of Pennsylvania, Philadelphia, PA, USA Ph.D. candidate 2001 – Pres. Department of Computer and Information Science

Dissertation: Towards High-performance Word Sense Disambiguation by Combining Rich

Linguistic Knowledge and Machine Learning Approaches (to be defended in

July, 2006)

Advisor: Martha S. Palmer

Committee Members: Joshi K. Aravind, Claire Cardie, (external examiner),

Mitch P. Marcus (chair), Lyle H. Ungar

University of Pennsylvania, Philadelphia, PA, USA

Department of Computer and Information Science

M.S. 2000 – 2001

Tsinghua University, Beijing, China

Department of Computer Science and Technology

M.E. 1998 – 2000, B.S. 1994 – 1998

Research Interests

Machine learning and feature engineering for natural language processing (NLP). Automatic word sense disambiguation; clustering semantically coherent words and automatic acquisition of large-scale semantic taxonomies. NLP applications to information retrieval, information extraction, machine translation and bioinformatics.

Research Experience

Department of Computer and Information Science, University of Pennsylvania

Ph.D. Candidate 2001 – 2006

High performance supervised word sense disambiguation (WSD) through combining linguistically motivated features and a smoothed Maximum Entropy (MaxEnt) model. The system achieved higher accuracy than previous best systems on the SENSEVAL2 English verb data.

Unsupervised and active learning methods for WSD. EM clustering for Chinese verb senses and active learning for English verb senses. Clustering-based feature selection for WSD. Noun clustering and semi-automatically created noun taxonomies, used for semantic features for WSD. Nominal entity detection for the Chinese Automatic Content Extraction (CACE) project (summer 2003, summer 2004). Boosting and TAG (Tree Adjoining Grammar) Supertagging for template relation detection, a subtask of the MUC-7 information extraction task (fall, 2001).

Department of Computer Science & Technology, Tsinghua University, Beijing, China

Master Student, Senior College Student 1997 – 2000

Visualization, dimension reduction, and classification algorithms for Chinese character recognition. A classification algorithm, based on Mahalanobis distance and dimension reduction, for distinguishing well-similar handwritten Chinese characters.