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mail.utexas.edu>Germanic Linguistics Annual Conference-5 (GLAC-5) will take place at the University of Texas at Austin, April 16-18, 1999. We invite colleagues at all levels (faculty and graduate students) to submit abstracts for 30-minute papers on any linguistic or philological aspect of any historic or modern Germanic language or dialect, including English (to 1500) and the extraterritorial varieties. Papers from a range of linguistic subfields, including phonetics, phonology, morphology, syntax, semantics, sociolinguistics, language acquisition, contact, and change, as well as differing theoretical approaches, are especially welcome. Please send to the address below a one-page, 12-point font abstract that is headed only by the title of your paper, as well as a separate 3" x 5" index card with your name, institutional affiliation, mailing address, phone/fax numbers, e-mail address, and the title of your paper. Submissions must be received by January 2, 1999. Notifications of acceptance will be sent out by February 1, 1999. GLAC-5 Department of Germanic Studies E. P. Schoch 3.102 University of Texas at Austin Austin, Texas 78712 For more information, e-mail Prof. Mark L. Louden (loudenMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue
sunderland.ac.uk>NIPS*98 Conference Workshop (part of International Conference on Neural Information Processing Systems) December 4 and 5, 1998 Breckenridge, Colorado Hybrid Neural Symbolic Integration ---------------------------------- Stefan Wermter, University of Sunderland, UK Ron Sun, University of Alabama, USA Description and motivation - ----------------------- In the past it was very controversial whether neural or symbolic approaches alone will be sufficient to provide a general framework for intelligent processing. In recent years, the field of hybrid neural symbolic processing has seen a remarkable development. The motivation for the integration of symbolic and neural models of cognition and intelligent behavior comes from many different sources. >From the perspective of cognitive neuroscience, a symbolic interpretation of an artificial neural network architecture is desirable, since the brain has a neuronal structure and the capability to perform symbolic processing. This leads to the question how different processing mechanisms can bridge the large gap between, for instance, acoustic or visual input signals and symbolic reasoning for instance for language processing, inferencing, etc. >From the perspective of knowledge-based processing, hybrid neural/symbolic representations are advantageous, since different mutually complementary properties can be integrated. Symbolic representations have advantages with respect to easy interpretation, explicit control, fast initial coding, dynamic variable binding and knowledge abstraction. On the other hand, neural representations show advantages for gradual analog plausibility, learning, robust fault-tolerant processing, and generalization to similar input. Since these advantages are mutually complementary, a hybrid symbolic connectionist architecture can be useful if different processing strategies have to be supported. Areas of interest - --------------- - Integration of symbolic and neural techniques for - integrating techniques for language and speech processing - integrating different modes of reasoning and inferencing - combining different techniques in data mining - integration for vision, language, multimedia - hybrid techniques in knowledge based systems - combining fuzzy/neuro techniques - neural/symbolic techniques and applications in engineering - Exploratory research in - emergent symbolic behavior based on neural networks - interpretation and explanation of neural networks - knowledge extraction from neural networks - various forms of interacting knowledge representations - dynamic systems and recurrent networks - evolutionary techniques for cognitive tasks (language, reasoning, etc) - Autonomous learning systems for cognitive agents that utilize both neural and symbolic learning techniques Format - ---- The workshop should provide a forum for presenting and discussing theory and practice of neural/symbolic integration. The format will consist of position statements/panel, group discussion and individual paper presentations. We intend to reserve a significant portion of time for open discussion. The proposed length of the workshop is two days. Suggested panels are: 1.Connectionist models for language, vision, inferencing. What are principles for neural/symbolic representation? 2. Hybrid neural models for new media (multimedia, web searching, digital libraries, etc) What will be the impact of hybrid techniques in the future? Submission - --------------- It is intended to publish the results after the workshop, either in a book (Springer) or via a special issue of a journal. We invite papers which can take two forms: short position papers (around 4 pages) or full papers (up to 12 pages). We intend to process submissions electronically. Please a postscript file via ftp (see below). The paper format should be compatible with latex article format: 11pt, 12 pages maximum, including title, address and email address, abstract, figures, references. Notifications will be sent by email to the first author. Postscript files can be uploaded with anonymous ftp. Please send a notification message to stefan.wermterMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue