Linfeng Song
The Metropolitan Museum, New York, summer of 2015
Linfeng Song 


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

Office:631, Computer Studies Building
E-mail: lsong10@cs.rochester.edu


Just do IT!

-- Nike

Biography

I am currently a 3rd-year PhD student in Computer Science Dept. of University of Rochester. My advisor is Professor Daniel Gildea. My current research areas are Statistical Machine Translation (SMT), Natural Language Generation (NLG) and Deep Learning. I got my Bachelar degree from Northeastern University (China) where I did a bunch of ACM/ICPC competitions. I got my Master degree from Institute of Computing Technology, Chinese Academy of Science (ICT,CAS) advised by Professor Qun Liu. My master resarch topic is mainly about Statistical Machine Translation.

Recent Event

2016.09 Our paper entitled "AMR-to-text generation as a Traveling Salesman Problem" has been accepted by EMNLP 2016.
2016.04 My area paper entitled "Word Embedding, Sense Embedding and their Application to Word Sense Induction" has past the area exam.

Publication

    Can also be found in Google Scholar via here

    2016

  • Word Embedding, Sense Embedding and their Application to Word Sense Induction. Linfeng Song.
    Area Paper. paper, slides
  • AMR-to-text generation as a Traveling Salesman Problem. Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel Gildea.
    In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. pdf
  • Sense Embedding for Word Sense Induction. Linfeng Song, Zhiguo Wang, Haitao Mi and Daniel Gildea.
    In Proceedings of *SEM (ACL Workshop) 2016, Berlin, Germany. pdf
  • 2015

  • A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing. Xiaochang Peng, Linfeng Song and Daniel Gildea.
    In Proceedings of CoNLL 2015, Beijing, China, 2015. pdf
  • 2014

  • Joint Morphological Generation and Syntactic Linearization. Linfeng Song, Yue Zhang, Kai Song and Qun Liu.
    In Proceedings of AAAI 2014, Quebec City, Canada, July 27-31, 2014. pdf
  • Syntactic SMT Using a Discriminative Text Generation Model. Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu and Qun Liu.
    In Proceedings of EMNLP 2014, Doha, Qatar, 2014. pdf
  • Before 2014

  • Translation with Source Constituency and Dependency Trees. Fandong Meng, Jun Xie, Linfeng Song, Yajuan Lv and Qun Liu.
    In Proceedings of EMNLP 2013, Seattle, America, 2013. pdf
  • Bagging-based System Combination for Domain Adaptation. Linfeng Song, Haitao Mi, Yajuan Lv and Qun Liu.
    In Proceedings of MT-Summit XIII, Xiamen, China, 2011. pdf

Professional Service

  • 2017: Reviewer of EACL, T-ASE (IEEE Transaction), EMNLP, EAMT
  • 2016: Reviewer of EMNLP, WMT
  • 2015: Reviewer of NAACL, SSMT (ACL Workshop), EMNLP, WMT
  • 2014: Reviewer of EMNLP, WMT
  • 2013: Reviewer of IJCAI, WMT

Internships

Teaching Assistants

2017 Spring

CSC 246/446 Machine Learning Instructor: Daniel Gildea
Office hours: M/W 10:30am-11:30am, CSB 631

2016 Fall

CSC 262/462 COMPUTATIONAL INTRO TO STATISTICS Instructor: ANTHONY ALMUDEVAR
Office hours: W/Th 10:30am-11:30am, CSB 631

2016 Spring

CSC 246/446 Machine Learning Instructor: Daniel Gildea
Office hours: Tu/Th 10:30am-11:30am, CSB 631

Courses

2016 Spring

CSC 280 Computer Models and Limitations Instructor: Muthu Venkitasubramaniam
CSC 455 Software Analysis and Improvement Instructor: Ding Chen

2015 Fall

CSC 448 Statistical Speech and Language Processing Instructor: Daniel Gildea
CSC 453 Dynamic Languages and Software Development Instructor: Ding Chen
CSC 576 Big Data Analytics Instructor: Ji Liu

2015 Spring

CSC 446 Machine Learning Instructor: Daniel Gildea
CSC 484 Advanced Algorithm Instructor: Daniel Stefankovic

2014 Fall

CSC 577 Convex Optimization Instructor: Daniel Gildea
CSC 456 Operating System Instructor: John Criswell
CSC 486 Computational Complexity Instructor: Joel Seiferas
CSC 400 Problem Seminar Instructor: Randal C. Nelson