Date: 07-Jul-2006
From: L. Venkata Subramaniam <lvsubramin.ibm.com>
Subject: CFP: IJCAI 2007 Workshop on Analytics for Noisy Unstructured Text Data
Full Title: CFP: IJCAI 2007 Workshop on Analytics for Noisy Unstructured Text Data
Short Title: AND
Date: 08-Jan-2007 - 08-Jan-2007
Location: Hyderabad, India
Contact Person: Venkata Subramaniam
Meeting Email: < click here to access email >
Web Site: http://research.ihost.com/and2007/
Linguistic Field(s): Computational Linguistics; Historical Linguistics; Text/Corpus Linguistics
Call Deadline: 25-Sep-2006
Meeting Description:
Noisy unstructured text data is found in informal settings such as online chat, SMS, emails, message boards, newsgroups, blogs, wikis and web pages. Also, text produced by processing spontaneous speech, printed text, handwritten text contains processing noise. Text produced under such circumstances is typically highly noisy containing spelling errors, abbreviations, non-standard words, false starts, repetitions, missing punctuations, missing case information, pause filling words such as “um” and “uh.” Such text can be seen in large amounts in contact centers, on-line chat rooms, OCRed text documents, SMS corpus etc. The theme of the IJCAI 2007 Conference is 'AI and its benefits to society.' In keeping with this theme, this workshop proposes to look at text analytics of highly noisy text that is produced in such everyday applications in society.
IJCAI 2007 Workshop
Workshop on Analytics for Noisy Unstructured Text Data8 January, 2007, Hyderabad, India
http://research.ihost.com/and2007
Call for Papers
Workshop Description and ObjectivesNoisy unstructured text data is found in informal settings such as online chat, SMS, emails, message boards, newsgroups, blogs, wikis and web pages. Also, text produced by processing spontaneous speech, printed text, handwritten text contains processing noise. Text produced under such circumstances is typically highly noisy containing spelling errors, abbreviations, non-standard words, false starts, repetitions, missing punctuations, missing case information, pause filling words such as ''um'' and ''uh.'' Such text can be seen in large amounts in contact centers, on-line chat rooms, OCRed text documents, SMS corpus etc. The theme of the IJCAI 2007 Conference is ''AI and its benefits to society.'' In keeping with this theme, this workshop proposes to look at text analytics of highly noisy text that is produced in such everyday applications in society.The goal of the workshop is to focus on the problems encountered in analyzing such noisy documents coming from various sources. The nature of the text warrants moving beyond traditional text analytics techniques. We hope that the workshop will allow researchers to present current research and development in addressing this challenge. We also believe that as a result of this workshop there will be sharing of real life noisy data sets and will result in their becoming available to a wider research community.
TopicsWe 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
ParticipationWe hope that the workshop will allow researchers working in areas related to unstructured data analytics, Natural Language Processing, Information Extraction, Information Retrieval, etc., to focus on the needs of users extracting useful information from noisy text. The target audience is a mixture of academia and industry researchers working with noisy text. We believe this work is of direct relevance to domains such as call centers, the world-wide web, and government organizations that need to analyze huge amounts of noisy data.
IAPR EndorsementThis workshop is endorsed by the International Association for Pattern Recognition (http://www.iapr.org)
Important DatesPaper Submission: September 25th, 2006Notification of Acceptance: October 23rd, 2006Camera-Ready papers due: November 8th, 2006Workshop at IJCAI 2007: January 8th, 2007
Submission RequirementsWe invite papers up to 8 pages in length in the style specified by IJCAI at(pdf: http://www.ijcai-07.org/ijcai07_format.pdf, word: http://www.ijcai-07.org/ijcai07_format.dot, LaTeX: http://www.ijcai-07.org/ijcai07_format_latex.tar). Papers should describe original completed work, work in progress, or interesting problems or use cases. Submitted papers will be fully refereed based on the originality and significance of the ideas presented as well as on technical aspects. Submissions should be made electronically to lvsubramin.ibm.com
Please visit the workshop websitehttp://research.ihost.com/and2007for information about participation and submitting papers.
For general information, please visit the IJCAI websitehttp://www.ijcai-07.org
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