17.1996, Calls: Computational Ling;Historical Ling;Corpus Ling/India

Fri Jul 7 16:32:41 UTC 2006

LINGUIST List: Vol-17-1996. Fri Jul 07 2006. ISSN: 1068 - 4875.

Subject: 17.1996, Calls: Computational Ling;Historical Ling;Corpus Ling/India

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1)
Date: 07-Jul-2006
From: L. Venkata Subramaniam < lvsubram at in.ibm.com >
Subject: CFP: IJCAI 2007 Workshop on Analytics for Noisy Unstructured Text Data 

-------------------------Message 1 ---------------------------------- 
Date: Fri, 07 Jul 2006 12:31:34
From: L. Venkata Subramaniam < lvsubram at in.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: lvsubram at in.ibm.com,rshourya at in.ibm.com
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 Data
8 January, 2007, Hyderabad, India

http://research.ihost.com/and2007

Call for Papers

Workshop Description and Objectives
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.
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.

Topics
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

Participation
We 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 Endorsement
This workshop is endorsed by the International Association for Pattern Recognition (http://www.iapr.org)

Important Dates
Paper Submission: September 25th, 2006
Notification of Acceptance: October 23rd, 2006
Camera-Ready papers due: November 8th, 2006
Workshop at IJCAI 2007: January 8th, 2007

Submission Requirements
We 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 lvsubram at in.ibm.com and rshourya at in.ibm.com  before September 25th, 2006.  

IAPR Best Student Paper Award
IAPR is sponsoring the Best Student Paper Prize at AND 2007. One paper in which a student is the primary author (first author/presenter) will be selected for the IAPR Best Student Paper Award. The awardee will be nominated through the paper reviewing process and the final decision will be made during the workshop. The award carries a cash prize of $160 which will be given at the conclusion of the workshop. 

Publication
We are currently in negotiation with a leading publisher for the proceedings to be available onsite. We have also received tentative approval for a special issue of a journal for post-workshop publication of selected papers.

Workshop Chairs
Craig Knoblock
University of Southern California

Daniel Lopresti
Lehigh University

Shourya Roy 
IBM Research, India Research Lab

L. Venkata Subramaniam 
IBM Research, India Research Lab

Workshop contacts
- L. V. Subramaniam lvsubram at in.ibm.com 
- Shourya Roy rshourya at in.ibm.com

Please visit the workshop website
http://research.ihost.com/and2007  
for information about participation and submitting papers.

For general information, please visit the IJCAI website
http://www.ijcai-07.org 

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LINGUIST List: Vol-17-1996	