Call for Papers for the Mini Track
“Information Retrieval and Human Language
Technologies”
As knowledge becomes a central productive and strategic asset, the success of organizations increasingly depends on their ability to effectively gather, produce, maintain, and disseminate information and knowledge. Modern corporate knowledge bases contain large numbers of manuals, procedures, documentation, expert knowledge, e-mail archives, news resources, and technical reports – all in the form of unstructured natural language text. That is why, the importance of processing information stored in unstructured form is growing at a rapid pace and is as vital as processing the data stored in the structured form (relational tables). However, finding, interpreting and summarizing relevant information contained in the free text form still remains an extremely challenging task, requiring collaboration of multiple disciplines. The field of Human Language Technologies is currently emerging from such disciplines as Information Retrieval (IR), Artificial Intelligence (AI), Computational Linguistics (CL), and Human Computer Interaction (HCI), and has been gaining significant attention among academicians and practitioners. This mini-track invites theoretical, experimental, or applied papers that are expected to advance this field. Possible topics include, but are not limited to the following:
Selected
papers will be published in a special issue of International Journal of Human
Computer Interaction (IJHCI).
Important
Dates:
Please
submit abstracts via email to either of the mini-track chairs Praveen
Pathak or Dmitri
Roussinov by
See the conference website for details: http://howe.stevens.edu/amcis2004
Mini Track Chairs
praveen@ufl.edu
Decision and Information Sciences
362 Stuzin Hall
(352) 392-9599
Computer Information Systems Program
(480)
965-8488
Copyright
Information: Submission of a paper to the conference represents the author's
agreement to allow AIS to publish the paper in any written or electronic format
for distribution to all interested parties in perpetuity with or without
compensation to AIS and without compensation to the author. The parties understand that the author is
granting a nonexclusive license and all copyrights remain the property of the
author.