posted by system || 1900 views || tracked by 5 users: [display]

AND 2008 : 2nd Workshop on Analytics for Noisy Unstructured Text Data

FacebookTwitterLinkedInGoogle


Conference Series : Analytics for Noisy Unstructured Text Data
 
Link: http://and2008workshop.googlepages.com/
 
When Jul 24, 2008 - Jul 24, 2008
Where Singapore
Submission Deadline May 16, 2008
Notification Due Jun 6, 2008
Categories    information retrieval   IR   NLP
 

Call For Papers

SIGIR-08 Workshop

2nd Workshop on Analytics for Noisy Unstructured Text Data
24 July 2008 , Singapore

http://and2008workshop.googlepages.com/

Call for Papers

Workshop Description and Objectives
Noise is an unavoidable fact of life. It can manifest itself at the earliest stages of processing in the form of degraded inputs that our systems must be prepared to handle. People are adept when it comes to pattern recognition tasks involving typeset or handwritten documents or recorded speech, machines less-so. From the perspective of down-stream processes that take as their inputs the outputs of recognition systems, including document analysis and OCR, noise can be viewed as the errors made by earlier stages of processing, which are rarely perfect and sometimes quite brittle.
Noisy unstructured text data is also found in informal settings such as online chat, SMS, email, message board and newsgroup postings, blogs, wikis and web pages. In addition to the aforementioned recognition errors, such text may contain spelling errors, abbreviations, non-standard terminology, missing punctuation, misleading case information, as well as false starts, repetitions, and pause-filling sounds such as "um" and "uh" in the case of speech.
By its very nature, noisy text warrants moving beyond traditional text analytics techniques. Noise introduces challenges that need special handling, either through new methods or improved versions of existing ones. We invite you to submit your own unique perspectives on this important topic.

Topics of Interest (not limited to)
Information Retrieval and Information Extraction on noisy texts
IR-related tasks (classification, clustering, genre recognition, document summarization, keyword search) on noisy texts
Formal models for noise, characterization and classification of noise
Treatment of noisy data in special application fields
- Historical Texts
- Multilingual Texts
- Blogs
- Chat logs/SMS
- Social Network Analysis
- Patent Search
- Optical Character Recognition
- Automated Speech Recognition
- Machine Translation
Data sets, benchmarks and evaluation techniques for analysis of noisy texts

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.

Important Dates
Paper Submission: May 16th, 2008
Notification of Acceptance: Jun 6th, 2008
Camera-Ready papers due: Jun 20th, 2008
Workshop at SIGIR 2008: Jul 24th, 2008

Submission Requirements
We invite papers up to 8 pages in length in the style specified at http://and2008workshop.googlepages.com/submission There will also be a Best Student Paper Award. Papers with a student as the primary author/presenter will be eligible for this award.

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
Daniel Lopresti
Lehigh University
Shourya Roy
IBM Research, India Research Lab
Klaus U Schulz
University of Munich
L. Venkata Subramaniam
IBM Research, India Research Lab

Workshop contacts
* L. V. Subramaniam lvsubram@in.ibm.com
* Shourya Roy rshourya@in.ibm.com

Related Resources

ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
SIGIR 2019   International ACM SIGIR Conference on Research and Development in Information Retrieval
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
ACL 2019   57th Annual Meeting of the Association for Computational Linguistics
Bled: Big Data/Data Science Track 2019   32nd Bled eConference : Humanizing Technology for a Sustainable Society (Big Data/Data Science Track)
IJNLC 2018   International Journal on Natural Language Computing
ICBDACI 2019   2nd International Conference on Big Data Analytics And Computational Intelligence
OCS-IMTIR 2019   Open Computer Science Topical Issue on Intelligent Methods for Textual Information Retrieval
SOR'19   The 15th International Symposium on Operations Research in Slovenia
IWCS 2019   13th International Conference on Computational Semantics (IWCS)