Corpora: CfP: ACL2001 Workshop on HLT and Knowledge Management

From: Steven Krauwer (Steven.Krauwer@let.uu.nl)
Date: Tue Feb 27 2001 - 16:11:48 MET

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                     WORKSHOP ON HUMAN LANGUAGE TECHNOLOGY
                          AND KNOWLEDGE MANAGEMENT

                             ACL'2001 Conference
                              Toulouse, France
                               July 6-7, 2001

       Human language technologies promise solutions to challenges in human
       computer interaction, information access, and knowledge management.
       Advances in technology areas such as indexing, retrieval,
       transcription, extraction, translation, and summarization offer new
       capabilities for learning, playing and conducting business. This
       includes enhanced awareness, creation and dissemination of enterprise
       expertise and know-how.

       This workshop aims to bring together the community of computational
       linguists working in a range of areas (e.g., speech and language
       processing, translation, summarization, multimedia presentation,
       content extraction, dialog tracking) both to report advances in human
       language technology, their application to knowledge management and to
       establish a road map for the Human Language Technologies for the next
       decade. The road map will comprise an analysis of the present
       situation, a vision of where we want to be in ten years from now, and
       a number of inter-mediate milestones that would help in setting
       intermediate goals and in measuring our progress towards our goals.

       The workshop will be structured into two days, the first which will
       address new research in human language tech-nology for knowledge
       management that addresses problems including but not limited to:
         * Expert Discovery: Modeling, cataloguing and tracking of
           distributed organizations and communities of experts.
         * Knowledge Discovery: Identification and classification of
           knowledge from unstructured multimedia data.
         * Knowledge Sharing: Awareness of and access to enterprise expertise
           and know-how.

       Human language technology promises solutions to these challenges
       through technologies such as:
         * Automated retrieval, extraction, and enrichment of information and
           knowledge from multimedia, multilin-gual, and multiparty
           information sources.
         * Translingual or crosslingual retrieval, presentation, and sharing
           of knowledge.
         * Automated detection and tracking of emerging topics from
           unstructured multimedia data (e.g., documents, web, video news
           broadcasts).
         * Use of knowledge sources to facilitate knowledge mapping and
           access (e.g., lexicosemantic such as Word-Net, semantic such as
           geospatial Gazetteers, semistructured such as thesauri,
           encyclopedia, fact books)
         * Automated question-answering from heterogeneous source
         * Intelligent tools that support the automated bibliometrics and
           document analysis/understanding in support of discovery of
           distributed experts and communities of expertise
         * Summarization and presentation generation of knowledge (e.g.,
           knowledge maps, lessons learned).
         * Modeling of user knowledge, beliefs, plans, (dis)abilities and
           preferences from queries, created artifacts, and human computer
           interactions.

       The second day of the workshop will target the formulation and
       refinement of a road map for the Human Language Technologies for the
       next decade. Participants will help formulate grand challenge
       problems, discuss possible data sets and/or evaluation metrics/methods
       that could form the basis of more scientific methods, articulate the
       role of and necessary advances in human language technology to solve
       these challenges, as well as identify and characterize early
       innovations and issues (e.g., robustness, scalability, ontology,
       privacy).

    PROGRAM COMMITTEE

         * Dr. Mark Maybury (Chair), The MITRE Corporation,
           maybury@mitre.org
         * Niels Ole Bernsen (Co-chair), University of Southern Denmark,
           nob@nis.sdu.dk
         * Steven Krauwer, ELSNET, U. Utrecht, steven.krauwer@let.uu.nl
         * Irma Becerra-Fernandez, Florida International University,
           becferi@fiu.edu
         * Paul Heisterkamp, Daimler-Chrysler Research Ulm,
           paul.heisterkamp@daimlerchrysler.com
         * Arjan van Hessen, COMSYS / U. Twente, hessen@cs.utwente.nl
         * Pierre Isabelle, XEROX Grenoble, pierre.isabelle@xrce.xerox.com
         * Enrico Motta, The Open University, e.motta@open.ac.uk
         * Jose Pardo, ELSNET, Univ.Politecnica Madrid, pardo@die.upm.es
         * Oliviero Stock, IRST Trento, stock@itc.it
         * Henry Thompson HCRC LTG, University of Edinburgh,
           ht@cogsci.ed.ac.uk
         * Hans Uszkoreit, DFKI Saarbruecken, uszkoreit@dfki.de
         * Yorick Wilks, University of Sheffield, yorick@dcs.shef.ac.uk
         * Rick Wojcik, Boeing Phantom Works, richard.h.wojcik@boeing.com
         * Antonio Zampolli, ELSNET, U. Pisa, pisa@ilc.pi.cnr.it

    TARGET AUDIENCE

       The target audience of the workshop includes active researchers,
       developers, appliers/entrepreneurs and funders of human language
       technology in general as well as how it is applied to knowledge
       management applications. While we project a high degree of interest
       in this topic, we intend to restrict attendance based upon the quality
       of paper submissions to foster high quality interchange and progress.

    SUBMISSION FORMAT AND INSTRUCTIONS

       Both papers and demonstration submissions are encouraged, either on
       HLT in general or its application to KM systems. Papers targeted at
       the first day on HLT for KM should clearly articulate the knowledge
       management problem addressed, the technical approach to solving that,
       the novelty of the approach, its relation to previous work, the
       evaluation or performance of the system or method, and discussion of
       limitations. Papers targeted at the second day of on human language
       technology direction should be authored so they could be integrated
       into a more general HLT roadmap and so should include a definition of
       the HLT area addressed (e.g., information ex-traction, translation,
       speech recognition), a statement of the grand challenges or problems
       in the subfield, an ar-ticulation/analysis of the current state of the
       art, a vision of where the community wants to be in ten years from
       now, a set of intermediate milestones that would help to set
       intermediate goals and measure/evaluate progress toward these goals.

       Submissions must be in English, no more than 8 pages long, and in the
       two-column format prescribed by ACL'2001. Please see
       http://acl2001.dfki.de/style/ for the detailed guidelines. Submissions
       should be sent elec-tronically in Word (preferably) or PDF or ASCII
       text format to arrive no later than April 2, 2001 to Paula MacDonald
       (pmmmac@mitre.org). As soon as possible, authors are encouraged to
       send a brief email indicating their intention to participate to
       include their contact information and the topic they intend to address
       in their submission.

       Submissions will be evaluated on the basis of their relevance,
       innovation, quality, and presentation according to the schedule below.

    SCHEDULE

        + Submission Deadline: 2 April 2001
        + Notification : 30 April 2001
        + Camera Ready Papers Due: 16 May 2001

    WORKSHOP DATE

       July 6 and 7, 2001

    WORKSHOP URL

       http://www.elsnet.org/acl2001-hlt+km.html



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