IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text Data

Hyderabad, India - January 8, 2007


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IBM Research
Supported by IBM Research
IAPR
Endorsed by the International Association for Pattern Recogntion

Call For Papers

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We welcome original research papers that identify key problems related to noisy text analytics and offer solutions. We particularly encourage contributions that look at solving real life problems in the different settings where such data is produced in huge amounts. Potential topics include (but not limited to):

  • NLP techniques for handling noisy unstructured data
  • Characterization of the types of noise in documents
  • Genre recognition based on the type of noise
  • Robust parsing
  • Characterizing, modeling and accounting for historical language change
  • Methods for detecting and correcting spelling and grammatical errors in noisy text
  • Information Extraction and Retrieval from noisy text
  • Automatic classification and clustering of imprecise documents
  • Noise-invariant document summarization techniques
  • Issues in keyword search in presence of noise in unstructured data
  • Machine Translation for noisy text
  • Text analysis techniques for analysis and mining of call-logs, transcribed calls, web logs, chat logs, email exchanges
  • Business Intelligence (BI) applications for contact centers that deal with noisy data
  • Surveys on aspects of text analytics for noisy unstructured data

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