LINGUIST List 22.2329 Thu Jun 02 2011 Calls: Computational Linguistics, Text/Corpus Linguistics/China Editor for this issue: Alison Zaharee <alisonlinguistlist.org> LINGUIST is pleased to announce the launch of an exciting new feature: Easy Abstracts! Easy Abs is a free abstract submission and review facility designed to help conference organizers and reviewers accept and process abstracts online. Just go to: http://www.linguistlist.org/confcustom, and begin your conference customization process today! With Easy Abstracts, submission and review will be as easy as 1-2-3! Directory         1.     Christoph Ringlstetter , 5th Workshop on Analytics for Noisy Unstructured Text Message 1: 5th Workshop on Analytics for Noisy Unstructured Text Date: 01-Jun-2011 From: Christoph Ringlstetter <kristofcis.uni-muenchen.de> Subject: 5th Workshop on Analytics for Noisy Unstructured Text E-mail this message to a friend Full Title: 5th Workshop on Analytics for Noisy Unstructured Text Short Title: AND2011 Date: 17-Sep-2011 - 17-Sep-2011 Location: Beijing, China Contact Person: Christoph Ringlstetter Meeting Email: < click here to access email > Web Site: http://and2011.cse.lehigh.edu/ Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics Call Deadline: 14-Jun-2011 Meeting Description: 5th Workshop on Analytics for Noisy Unstructured Text Data http://and2011.cse.lehigh.edu/ In conjunction with ICDAR 2011 September 17th, 2011, Beijing, China Noisy unstructured text data is ubiquitous in real-world communication. Natural language and the creative ways that humans use it can create problems for computational techniques. Electronic text from the Internet (emails, message boards, newsgroups, blogs, wikis, chatlogs and web pages), contact centers (complaints, emails, call transcriptions, message summaries), and mobile phones (SMS) is often noisy - contains spelling errors, abbreviations, non-standard words, false starts, repetitions, missing punctuation, missing case information and special characters. Informal communications are not the only source of noisy text; text produced by processing signals intended for human use such as printed/handwritten documents, spontaneous speech, and camera-captured scene images, are prime examples. Recognition errors made by Optical Character Recognition (OCR) and Automatic Speech Recognition (ASR) systems can result in imperfect transcriptions. An increasing stream of imperfect OCR results are featured by ongoing mass-digitization of the world's written cultural heritage. Such noise in text has raised new sets of challenges for the task of Information Retrieval and Knowledge Management. Special handling of noise as well as noise robust IR and KM techniques are essential to overcome those challenges. AND 2011 is a workshop devoted to issues arising from the need to contend with noisy inputs, the impact noise can have on downstream applications, and the demands it places on document analysis. Call for Papers: Important Dates: Abstract Submission: June 7th, 2011 Paper Submission: June 14th, 2011 Notification of Acceptance: July 25th, 2011 Camera-Ready papers due: August 8th, 2011 We welcome original research papers that identify key problems related to noisy text analytics and offer solutions. Potential topics include (but not limited to): - Noise induced by document analysis techniques and its impact on downstream applications - Formal theory on characterization of noise - Genre recognition based on the type of noise - Robust parsing and Part of Speech (POS) tagging - Characterizing, modelling and accounting for historical language change - Methods for detecting and correcting errors in noisy text - Information extraction and retrieval from noisy text data - Automatic classification and clustering of noisy unstructured text data - Noise-invariant document summarization techniques - Issues in keyword search in presence of noise in unstructured text data - Machine Translation for noisy text - Analyzing very short communications like those on Twitter - Techniques for analysis and mining of call-logs, transcribed calls, web logs,chat logs, emails, tweets - Business Intelligence (BI) applications dealing with noisy text data - Surveys relating to noisy text analytics For submission guidelines, please see our website: http://and2011.cse.lehigh.edu/index.html Organizing Committee: Lipika Dey, Innovation Labs, Tata Consultancy Services Daniel Lopresti, Lehigh University, USA Christoph Ringlstetter, University of Munich, Germany Shourya Roy, Xerox India Innovation Hub, India Program Committee: Gady Agam, IIT, Chicago Sophia Ananiandou, University of Manchester, UK Indrajit Bhattacharya, IISc India David Doermann, University of Maryland CP Tanveer A. Faruquie, IBM Research, India Gernot A. Fink, TU Dortmund, Germany Jenifer Foster, Dublin City University, Ireland Basilis Gatos, IIT, Demokritos Randy Goebel, University of Alberta, Canada Gareth Jones, Dublin City University, Ireland Marcus Liwicki, DFKI, Germany Volker Märgner, University of Braunschweig Vincent Ng, Univ. of Texas at Dallas, USA Roberto Basili, University of Roma B. Ravindran, IIT Madras Sebastoam Pena Saldarriaga, Synchromedia ETS Eric Ringger, Bringham Young University Klaus U. Schulz, University of Munich, Germany Frederique Segond, XEROX Research Center Europe Maosong Sun, Tsinghua University, China L. Venkata Subramaniam, IBM Research, India Hironori Takeuchi, IBM Research Read more issues|LINGUIST home page|Top of issue Page Updated: 02-Jun-2011       About LINGUIST    |   Contact Us       While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed on its pages, it cannot vouch for their contents.