Congle Zhang

Contact
Office: 524 Allen Center
Phone: 206-734-2715
Fax: 206-543-2969
Email: clzhang at cs dot washington dot edu
Mailing Address
Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350

I am a PhD student in the Department of Computer Science & Engineering at the University of Washington. My advisor is Daniel S. Weld. My research interests are in the intersections of natural language processing and machine learning. Specifically, my current work focuses on exploiting the temporal attributes from the news streams to develop new Information Extraction systems.

Publications

  • Exploiting Parallel News Streams for Unsupervised Event Extraction[Paper]
    Congle Zhang, Stephen Soderland, Daniel S. Weld.
    Transactions of the Association for Computational Linguistics (TACL), 2015.


  • Harvesting Parallel News Streams to Generate Paraphrases of Event Relations. [Paper] [Datasets]
    Congle Zhang, Daniel S. Weld.
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
    Acceptance rate: 26%.

  • Software Bug Localization with Markov Logic. [Paper]
    Sai Zhang, Congle Zhang
    36th International Conference on Software Engineering (ICSE), 2014.
    Acceptance rate: 18%.

  • Adaptive Parser-Centric Text Normalization. [Paper] [Datasets]
    Congle Zhang, Tyler Baldwin, Howard Ho, Benny Kimelfeld, Yunyao Li
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2013.
    Nomination for best-paper award.
    Acceptance rate: 26%.

  • Ontological Smoothing for Relation Extraction with Minimal Supervision. [Paper]
    Congle Zhang, Raphael Hoffmann, Daniel S. Weld.
    In AAAI Conference on Artificial Intelligence (AAAI), 2012.
    Acceptance rate: 26%.

  • Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. [Paper] [Slides] [Source code]
    Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, Daniel S. Weld.
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
    Acceptance rate: 26%.

  • Learning 5000 Relational Extractors. [Paper] [Slides]
    Raphael Hoffmann, Congle Zhang, Daniel S. Weldacl2011-slides.pptx.
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2010.
    Acceptance rate: 25%.