SIGDAT, the Association for Computational Linguistics' special interest group on linguistic data and corpus-based approaches to NLP, invites submissions to EMNLP 2002. The conference will be held at University of Pennsylvania, Philadelphia, PA, USA on July 6-7, immediately preceding the anniversary 40^th meeting of the ACL (ACL 2002).

We are interested in papers from academia, government, and industry on all areas of traditional interest to the SIGDAT community and aligned fields, including but not limited to:

• information extraction
• information retrieval
• language and dialog modeling
• lexical acquisition
• machine translation
• multilingual technologies
• question answering
• statistical parsing
• summarization
• tagging
• term and named entity extraction
• word sense disambiguation
• word, term, and text segmentation
• general NLP-related machine learning techniques:
  theory, methods and algorithms
  (incl. text mining, smoothing, etc.)

As a follow-up to last year's focus on analyzing the current "Successes and Challenges" in the corpus-based methods, we encourage submissions on the theme

• using Really Large Corpora (cf. last year's Brill's talk);
• using previously neglected methods, including those from non-NLP fields, such as biology, nuclear physics, or finance, with promising results and/or reasonable potential for the future;
• employing known methods in a radically different way or on problems they were not tried upon previously, with truly significant improvement;
• combining intuition-based and data-based methods (finally!) with substantially improved results on known problems.

Submissions

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