Xiaochang Peng
Xiaochang Peng 


Graduate Student
Department of Computer Science
University of Rochester
Rochester, NY 14627

Office:627, Computer Studies Building
E-mail: xpeng@cs.rochester.edu

Biography

I am a graduate student of Computer Science at University of Rochester. My advisor is Prof. Daniel Gildea. My research interests are machine learning and statistical methods towards machine translation and semantic parsing. My current research mainly focuses on machine learning approaches for AMR graph parsing. I got my Bachelar's degree from Peking University in China. I also have two years' research intern experience in the NLP group at Institute of Computer Science & Technology of Peking University

Publication

  1. Addressing the Data Sparsity Issue in Neural AMR Parsing. Xiaochang Peng*, Chuan Wang*, Daniel Gildea and Nianwen Xue
    European Chapter of the Association for Computational Linguistics (EACL-17), Valencia, Spain, 2017. (*: equal contribution)
  2. AMR-to-text Generation as a Traveling Salesman Problem. Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel Gildea
    In Conference on Empirical Methods in Natural Language Processing (EMNLP-16), 2016.
  3. Exploring phrase-compositionality in skip-gram models. Xiaochang Peng and Daniel Gildea
    Arxiv
  4. UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing. Xiaochang Peng and Daniel Gildea
    NAACL-HLT 2016 Workshop on Semantic Evaluation (SemEval-2016)
  5. A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing. Xiaochang Peng, Linfeng Song and Daniel Gildea
    The SIGNLL Conference on Computational Natural Language Learning (CoNLL), Beijing, China, 2015.
  6. Type-based MCMC for Sampling Tree Fragments from Forests. Xiaochang Peng and Daniel Gildea
    Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, 2014.
  7. Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging. Weiwei Sun, Xiaochang Peng and Xiaojun Wan
    International Joint Conference on Natural Language Processing (IJCNLP), 2013.

Teaching Assistant

2016 Spring

CSC 246/446 Machine Learning Instructor: Daniel Gildea
office hours: Tu/Th 3:00pm-4:00pm, CSB 627

2015 Fall

CSC 248/448 Statistical Speech and Language Processing Instructor: Daniel Gildea
office hours: Mon/Th 3:00pm-4:00pm, CSB 627

2015 Spring

CSC 246/446 Machine Learning Instructor: Daniel Gildea