Thursday, January 27, 2011

Reading for 2/3/11: Haghighi and Klein, 2010

An Entity-Level Approach to Information Extraction

Author:  Aria Haghighi and Dan Klein
Venue:  ACL 2010
Leader:  Dhananjay

Request (new!):  When you post to the blog, please include:

  1. Your name (plus "leader") if you are leading the discussion
  2. Which focus paper this post relates to
  3. Whether this is the pre-meeting review or the post-meeting summary
  • Leave a comment on this post (non-anonymously) giving the details of the related paper you will read (include a URL), by Monday, January 31.
  • Post your commentary (a paragraph) as a new blog post, by Wednesday, February 2.


  1. For this week I will read:

    Aria Haghighi and Dan Klein
    Coreference resolution in a modular, entity-centered model.

    So this paper is by the same authors and looks at the coreference resolution problem, leveraging a very similar entity-based model (if not exactly the same). Since the authors of focus paper make multiple references to their past work, I figure this is a fitting supplement in terms of providing background to their entity/mention approach. It's also just nice to see more than one application, which may also provide better insight into their solution.


  2. Related paper:

    Siddharth Patwardhan; Ellen Riloff

    A Unified Model of Phrasal and Sentential Evidence for Information Extraction

    This work also addresses the task of template filling by incorporating additional sentential information in a probabilistic framework, in this case using a "sentential event" recognizer and "role-filler" recognizer.

  3. I will read:

    Using Document Level Cross-Event Inference to Improve Event Extraction
    Shasha Liao and Ralph Grishman
    ACL 2010

    This paper looks at the extraction of events and roles and uses in addition to the local context also the document level information.

  4. I will read the paper

    Coreference resolution in a modular, entity-centered model. A. Haghighi and D. Klein. ACL 2010.

    This paper uses a similar approach for a different problem, so it should help to understand the methods used.

  5. I am planning to read the paper:

    Coreference Resolution in a Modular, Entity-Centered Model
    Aria Haghighi and Dan Klein
    In proceedings of HLT-NAACL 2010

    Lots of the content of the focus paper seem to dependent on this one.

  6. I am planning to read:

    S. Patwardhan and E Riloff. 2009. A unified model of
    phrasal and sentential evidence for information extraction. In EmpiricalMethods in Natural Language
    Processing (EMNLP)

  7. I am reading

    FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text
    Jerry R. Hobbs, Douglas Appelt, John Bear, David Israel, Megumi Kameyama, Mark Stickel, Mabry Tyson
    book chapter 1997
    or maybe

  8. I'm reading - A Unified Model of Phrasal and Sentential Evidence for Information Extraction


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