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[eu_members at aclweb dot org] Singapore: ACL/IJCNLP 2009 Workshop on Applied Textual Inference

                            TextInfer 2009

         ACL/IJCNLP 2009 Workshop on Applied Textual Inference

Important Dates

    * Submission: May 1, 2009
    * Notification: Jun 1, 2009
    * Camera Ready: Jun 7, 2009
    * Workshop: Aug 6, 2009


Call for Papers

Applied textual inference has attracted a significant amount of attention in recent years. Recognizing textual entailments and detecting semantic equivalences between texts are at the core of many NLP tasks, including question answering, information extraction, text summarization, and many others. Developing generic algorithms and resources for inference and paraphrasing would therefore be applicable to a broad range of NLP applications.

The success of the first three Recognizing Textual Entailment (RTE) Pascal challenges and the high participation in this year's NIST-organized RTE challenge show that there is a very substantial interest in the area among the research community. RTE and paraphrase detection tasks have considerably stimulated research in the area of applied semantics, and computational models for textual inference are becoming more and more reliable and accurate as a result.

The goal of this workshop is to provide a common forum where people can discuss and compare novel ideas, models and tools for textual inference and paraphrasing. The workshop follows previous ACL workshops on these topics (the ACL workshop on "Empirical Modeling of Semantic Equivalence and Entailment", 2005, and the joint ACL-PASCAL workshop "Textual Entailment and Paraphrasing", 2007). This line of workshops goes in parallel with the RTE challenges, now organized by NIST, by promoting a deeper understanding of what are the scientific achievements and the new findings emerging in the field.

The workshop is open to any research topic related to applied textual inference and paraphrasing. More specifically, topics of interest include, but are not limited to:

    * Foundational aspects
    * Methods and models
          o Rule-based methods
          o Machine learning methods
          o Probabilistic models
    * Computational modeling of linguistic theories
    * Learning textual inference rules and paraphrases from data
    * Applications of textual inference
    * Evaluation methodologies of textual inference and paraphrasing
    * Qualitative and quantitative evaluation of existing methods
    * Automatic and semi-automatic methods for building corpora for textual inference and paraphrasing
    * Multilingual and language-independent techniques for textual inference ad paraphrasing
    * Linguistic Analysis of Textual Inference


For the submission instructions, check the workshop page

Workshop Organizers
    * Chris Callison-Burch (John Hopkins University), Program Co-chair
    * Ido Dagan (Bar Ilan University)
    * Christopher Manning (University of Stanford)
    * Marco Pennacchiotti (Yahoo Research Labs)
    * Fabio Massimo Zanzotto (University of Rome "Tor Vergata"), Program Co-chair

Program Committee
    * Regina Barzilay (MIT)
    * Johan Bos (University of Rome "La Sapienza")
    * Bill Dolan (Microsoft Research)
    * Mark Dras (Macquarie University)
    * Anette Frank (University of Heidelberg)
    * Graeme Hirst (University of Toronto)
    * Kentaro Inui (Nara Institute of Science and Technology)
    * Bill MacCartney (Stanford University)
    * Bernardo Magnini (FBK-irst)
    * Katja Markert (University of Leeds)
    * Rada Mihalcea (University of North Texas)
    * Dan Moldovan (University of Texas at Dallas)
    * Alessandro Moschitti (University of Trento)
    * Kiyonori Ohtake (ATR)
    * Sebastian Pado (University of Stanford)
    * Manfred Pinkal (Saarland University)
    * Dan Roth (University of Illinois at Urbana-Champaign)
    * Satoshi Sato (Nagoya University)
    * Satoshi Sekine (New York University)
    * Idan Szpektor (Bar Ilan University)
    * Stefan Thater (Saarland University)
    * Kentaro Torisawa (NICT)
    * Lucy Vanderwende (Microsoft Research)
    * Annie Zaenen (PARC)

Main contact
Fabio Massimo Zanzotto
Univesity of Rome "Tor Vergata"
zanzotto at info dot uniroma2 dot it