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


Ph.D.
Department of Computer Science
University of Rochester

Office: Wegmans Hall, #2506,
Rochester, NY 14620

E-mail: lsong10@cs.rochester.edu


Biography

I am currently a final-year PhD candidate advised by Professor Daniel Gildea in the Computer Science Department at the University of Rochester. My current research areas are Natural Language Understanding (NLU), Question Answering (QA), Information Extraction (IE) and Machine Translation (MT). I got my Bachelor's degree from Northeastern University (China) where I participated in several ACM/ICPC competitions. After undergraduate study, I started my master degree at the Institute of Computing Technology, Chinese Academy of Science (ICT,CAS). I'm very lucky to be advised by Professor Qun Liu, who brings me to this wonderful and exciting area. During my master program, I laid a solid foundation on Statistical Machine Translation, POS tagging and Parsing.

Here is my Curriculum Vitae, updated on September 17th, 2018.

Recent Event

2018.11 Our paper entitled "Semantic Neural Machine Translation using AMR" has been accepted by Transaction of ACL.
2018.09 One paper has been accepted by INLG 2018 as oral representation.
2018.08 Our paper entitled "N-ary Relation Extraction using Graph State LSTM" has been accepted by EMNLP 2018.
2018.07 I was awarded travel grants from ACL 2018.
2018.04 Three papers has been accepted by ACL 2018, please refer to the publication section for more detail.
2018.02 Part of my 2017 internship work entitled "Leveraging Context Information for Natural Question Generation" has been accepted by NAACL 2018.
2017.10 I gave seminar talks entitled "A unified query-based generative model for question generation and question answering" at ICT/CAS and at the Big Picture Seminar of URCS.
2017.07 I was awarded travel grants from EMNLP 2016 and ACL 2017.
2017.03 Our paper entitled "AMR-to-text Generation with Synchronous Node Replacement Grammar" has been accepted by ACL 2017 as oral representation.
2016.09 Our paper entitled "AMR-to-text generation as a Traveling Salesman Problem" has been accepted by EMNLP 2016.

Publication

Professional Service

  • Program Committee of ACL (2019), AAAI (2019), IJCAI (2013)
  • Reviewer of EMNLP (2014--2018), NAACL (2015, 2018--2019), Coling (2018 outstanding reviewer), EACL (2017)
  • Reviewer of journals: TASLP (2016), TALLIP (2019)
  • Reviewer of other revenues: WMT (2013--2016, 2018), *SEM (2019), S$^2$MT (2015), EAMT (2017), CWMT (2018)

Internships

Teaching Assistants

2017 Fall

CSC 248/448 Statistical Speech and Language Processing Instructor: Daniel Gildea
Office hours: Tu/Th 10am-11am, 2403 Wegmans Hall

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