AND 2008 : 2nd Workshop on Analytics for Noisy Unstructured Text Data
Conference Series : Analytics for Noisy Unstructured Text Data
Call For Papers
2nd Workshop on Analytics for Noisy Unstructured Text Data
24 July 2008 , Singapore
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
- 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
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.
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
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.
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.
IBM Research, India Research Lab
Klaus U Schulz
University of Munich
L. Venkata Subramaniam
IBM Research, India Research Lab
* L. V. Subramaniam firstname.lastname@example.org
* Shourya Roy email@example.com