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
Reminders:
  • 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.
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8 comments:

  1. axzJanuary 31, 2011 at 5:46 PM

    For this week I will read:

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

    http://www.aclweb.org/anthology/N/N10/N10-1061.pdf

    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.

    -Alan

    ReplyDelete
  2. Michael DenkowskiJanuary 31, 2011 at 5:49 PM

    Related paper:

    Siddharth Patwardhan; Ellen Riloff

    A Unified Model of Phrasal and Sentential Evidence for Information Extraction

    http://www.aclweb.org/anthology-new/D/D09/D09-1016.pdf

    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.

    ReplyDelete
  3. Dong NguyenJanuary 31, 2011 at 6:11 PM

    I will read:

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

    http://aclweb.org/anthology-new/P/P10/P10-1081.pdf

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

    ReplyDelete
  4. DanielJanuary 31, 2011 at 6:42 PM

    I will read the paper

    Coreference resolution in a modular, entity-centered model. A. Haghighi and D. Klein. ACL 2010.
    http://www.aclweb.org/anthology/N/N10/N10-1061.pdf

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

    ReplyDelete
  5. Weisi DuanJanuary 31, 2011 at 7:16 PM

    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.

    ReplyDelete
  6. Matt WytockJanuary 31, 2011 at 9:12 PM

    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)

    ReplyDelete
  7. Brendan O'ConnorFebruary 1, 2011 at 7:25 AM

    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
    http://arxiv.org/abs/cmp-lg/9705013
    or maybe http://www.isi.edu/~hobbs/fastus-schabes-jul95.pdf

    ReplyDelete
  8. Dhananjay D. KulkarniFebruary 1, 2011 at 11:57 AM

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

    http://www.aclweb.org/anthology-new/D/D09/D09-1016.pdf

    ReplyDelete

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