Welcome to IEEE EM-RITE 2012

IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt

In conjunction with IEEE IRI 2012

Las Vegas, USA
August 8, 2012

Textual Entailment and Paraphrase are inference tasks of natural language processing (NLP) for automatically detecting entailment, paraphrase, and contradiction in texts. The aim of this workshop is to provide a forum for original high-quality research contributions on empirical methods for recognizing inference in text as well as multidisciplinary research opportunities.

Topics of interest include but are not limited to practical areas that span a variety of aspects of empirical methods for recognizing inference in text including:

  • Guidelines, standards, best practices and models for the construction and annotation of Textual Entailment datasets
  • Evaluation of Knowledge Resources for Textual Entailment
  • Recognizing Inference in Text
  • Recognizing Textual Entailment
  • Question Answering
  • Information Retrieval
  • Information Extraction
  • Text Summarization
  • Text Mining
  • Natural Language Processing Applications
  • Sentiment Analysis
  • Opinion Mining



Authors are invited to submit a paper up to 8 pages (in English) in double-column IEEE format following the submission guidelines available at the IEEE IRI-2012 web page. Papers must be original and not submitted to or accepted by any other conference or journal. An electronic version (PDF format) of the full paper should be submitted by the paper submission deadline to EasyChair (https://www.easychair.org/account/signin.cgi?conf=emrite2012). All submissions will be acknowledged.


  • Regular paper submission: March 31, 2012 April 16, 2012
  • Notification of acceptance: May 10, 2012
  • Camera-ready & author registration: May 24, 2012 June 1, 2012


Workshop Co-Chairs

  • Min-Yuh Day, Tamkang University, Taiwan
  • Cheng-Wei Lee, Academia Sinica, Taiwan
  • Hideki Shima, Carnegie Mellon University, USA

Program Committee

  • Weide Chang, California State University, Sacramento, USA
  • Wen-Lian Hsu, Academia Sinica, Taiwan
  • Hyeju Jang, Carnegie Mellon University, USA
  • Lun-Wei Ku, National Yunlin University of Science and Technology, Taiwan
  • Chuan-Jie Lin, National Taiwan Ocean University, Taiwan
  • Richard Tzong-Han Tsai, Yuan Ze University, Taiwan
  • William Webber, The University of Maryland, USA
  • I-Chin Wu, Fu Jen Catholic University, Taiwan
  • Shih-Hung Wu, Chaoyang University of Technology, Taiwan
  • Youzheng Wu, National Institute of Information and Communications Technology, Japan
  • Jean-Daniel Zucker, Institut de Recherche pour le Developpement, France