- From: Eric Ringger <ringger@microsoft.com>
- Date: Thu, 3 Mar 2005 08:20:09 -0800
- To: <mlnet@ais.fraunhofer.de>
- Message-ID: <093830707D538448B1F337432D779BA19DCE99@RED-MSG-61.redmond.corp.microsoft.com>
---------------------------------------------------------------- CALL FOR PAPERS Feature Engineering for Machine Learning in Natural Language Processing Workshop at the Annual Meeting of the Association of Computational Linguistics (ACL 2005) http://research.microsoft.com/~ringger/FeatureEngineeringWorkshop/ ** Submission Deadline: April 20, 2005 ** Ann Arbor, Michigan June 29, 2005 ---------------------------------------------------------------- As experience with machine learning for solving natural language processing tasks accumulates in the field, practitioners are finding that feature engineering is as critical as the choice of machine learning algorithm, if not more so. Feature design, feature selection, and feature impact (through ablation studies and the like) significantly affect the performance of systems and deserve greater attention. In the wake of the shift away from knowledge engineering and of the successes of data-driven and statistical methods, researchers in the field are likely to make further progress by incorporating additional, sometimes familiar, sources of knowledge as features. Although some experience in the area of feature engineering is to be found in the theoretical machine learning community, the particular demands of natural language processing leave much to be discovered. This workshop aims to bring together practitioners of NLP, machine learning, information extraction, speech processing, and related fields with the intention of sharing experimental evidence for successful approaches to feature engineering, including feature design and feature selection. We welcome papers that address these goals. We also seek to distill best practices and to discover new sources of knowledge and features previously untapped. The workshop will include an invited talk by Andrew McCallum of the University of Massachusetts at Amherst. SUBMISSION Submitted papers should be prepared in PDF format (all fonts included) or Microsoft Word .doc format and not longer than 8 pages following the ACL style. More detailed information about the format of submissions can be found here: http://www.aclweb.org/acl2005/index.php?stylefiles The language of the workshop is English. Submissions should be sent as an attachment to the following email address: ringger AT microsoft DOT com . All accepted papers will be presented in oral sessions of the workshop and collected in the printed proceedings. Submissions are invited on all aspects of feature engineering for machine learning in NLP. Topics may include, but are not necessarily limited to: - Novel methods for discovering or inducing features, such as mining the web for closed classes, useful for indicator features. - Comparative studies of different feature selection algorithms for NLP tasks. - Interactive tools that help researchers to identify ambiguous cases that could be disambiguated by the addition of features. - Error analysis of various aspects of feature induction, selection, representation. - Issues with representation, e.g., strategies for handling hierarchical representations, including decomposing to atomic features or by employing statistical relational learning. - Techniques used in fields outside NLP that prove useful in NLP. - The impact of feature selection and feature design on such practical considerations as training time, experimental design, domain independence, and evaluation. - Analysis of feature engineering and its interaction with specific machine learning methods commonly used in NLP. - Combining classifiers that employ diverse types of features. - Studies of methods for defining a feature set, for example by iteratively expanding a base feature set. - Issues with representing and combining real-valued and categorical features for NLP tasks. IMPORTANT DATES - Paper submission deadline: April 20, 2005; Noon, PST (GMT-8) - Notification of acceptance: May 10, 2005 - Submission of camera-ready copy: May 17, 2005 - Workshop: June 29, 2005 ORGANIZATION Chair and contact person: Eric Ringger Microsoft Research One Microsoft Way Redmond, WA 98052 USA ringger AT microsoft DOT com Program Committee: - Simon Corston-Oliver, Microsoft Research, USA - Kevin Duh, University of Washington, USA - Matthew Richardson, Microsoft Research, USA - Oren Etzioni, University of Washington, USA - Andrew McCallum, University of Massachusetts at Amherst, USA - Dan Bikel, IBM Research, USA - Olac Fuentes, INAOE, Mexico - Chris Manning, Stanford University, USA - Kristina Toutanova, Stanford University, USA - Hideki Isozaki, NTT Communication Science Laboratories, Japan - Caroline Sporleder, University of Edinburgh, UK
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Received on Friday, 4 March 2005 17:07:14 UTC