SystemT - Students

Having research experience and interested in joining us as a summer intern? Please feel free to drop us a line.

We have had many students join us as summer interns to work on SystemT-related projects over the years. 

Here is who we have worked with since 2007:

Ph.D. students:

  • Yi Zhang, UPenn
  • Lucy Youxuan Jiang, University of Michigan
  • Honglei Zhuang, UIUC (First employment: Google)
  • Nikita Bhutani, University of Michigan - Ann Arbor
  • Aparna Garimella, University of Michigan - Ann Arbor
  • Xilun Chen, Cornell University
  • Maeda F. Hanafi, NYU-Abu Dhabi
  • Lingjia Deng, University of Pittsburgh (First employment: Bloomberg LP)
  • Alan Akbik, TU Berlin (First employment: Zalando Research)
  • Ashraf Bah Rabiou, University of Delaware (First employment: Casetext)
  • Zichao Hu, UC-Santa Cruz
  • Congle Zhang, University of Washington (First employment: Facebook)
  • Sudeepa Roy, University of Pennsylvania (First employment: Duke University)
  • Bin Liu, University of Michigan - Ann Arbor (First employment: NEC Research)
  • Daisy Wang, UC-Berkeley (First employment: University of Florida)
  • Sebastian Blohm, University of Karlsruhe (First employment: Microsoft)
  • Ting Chen, University of Wisconsin - Madison (First employment: LinkedIn)

Undergraduate/Master students:

  • Sanjana Sahayaraj, University of California - Santa Barbara
  • Yiwei Yang, University of Michigan
  • Jose Guadalupe Saldana, Stanford University
  • Kevin Huang, UC-San Diego
  • Xinyu Guan, Yale University
  • Yonas Kbrom, UC-Berkeley
  • Arnaldo Carreno-Fuentes, Georgia Institute of Technology (First employment: Manhattan Associates)
  • Vivian Chu, UC-Berkeley  (now a Ph.D. student at Georgia Tech)


2019 - AKBC Best Application Paper Award

2018 - NAACL Test-of-Time Award

2014 - IBM Corporate Award

2013 - IBM Research Outstanding Technical Accomplishment Award

2008, 2010, 2013 - IBM Research A-Level Accomplishment Award

Recent News


Research paper "NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction" received the Best Application Paper Award at AKBC 2019


Yunyao gave a talk on Building Domain-Specific Knowledge with Human in the Loop at Robust Machine Learning Algorithms and Systems: Detection & Mitigation of Adversarial Attacks and Anomalies Workshop, National Academies


Yunyao gave a talk on Building Domain-Specific Knowledge with Human in the Loop at University of Michigan AI Lab


Research paper "DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm based on Learned High Dimensional Encoding" is accepted at CONLL 2018 (IBM Research Blog Post).


Research paper "Exploiting Structure in Representation of Named Entities using Active Learning" is accepted at COLING 2018.


Officially joined NSF Center for Big Learning as an Industry Partner.


Demoed LUSTRE an interactive system for entity understanding and standardization at ICDE 2018


Hosted Stanford professor Mark Musen's visit to IBM Research - Almaden


Industry track paper on the design and implementation of SystemT is accepted at NAACL-HLT 2018 Industry Track (the very first industry track at a major NLP conference).


Hosted Univ. of Washington professor Luke Zettlemoyer's visit to IBM Research - Almaden


Yunyao is co-chairing the very first NAACL-HLT Industry Track


Demo paper on Creating and Interacting with Large-Scale Domain-Specific Knowledge Bases is presented at VLDB 2017 [video] [poster]


Research paper on Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks is accepted at CIKM 2017


Research paper on Crowd-in-the-loop: A Hybrid Approach for Annotating Semantic Roles is accepted at EMNLP 2017


Hosted Stanford professor Dan Jurafsky's visit to IBM Research - Almaden


Research paper on Hardware Compilation Framework for Text Analytics Queries is accepted to Journal of Parallel and Distributed Computing (JPDC)


SEER, a system on learning extractors from examples, presented at CHI and SIGMOD 2017 [video] [paper]


Workshop paper on understanding relationships in the financial domain presented at DSMM 2017 [paper]