BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2003/newsitem/369/18-2 2-August-2003-Adaptation-of-Automatic-Learning-Met hods-for-Analytical-and-Inflectional-Languages DTSTAMP:20030206T000000 SUMMARY:Adaptation of Automatic Learning Methods f or Analytical and\n Inflectional Languages DTSTART;VALUE=DATE:20030818 DTEND;VALUE=DATE:20030822 LOCATION:Vienna, Austria DESCRIPTION:Automatic (machine) learning approache s to any NLP task became a rich area with a variet y of methodologies. During the last years, its dev elopment made significant progress in the directio n of presenting new methods and, at the same time, their modifications. These modifications are of d ifferent nature and dependent on the language unde r consideration. The aim of the workshop is to pre sent and evaluate various modifications of the aut omatic learning methods originally developed for E nglish and declared as language independent. We ar e especially interested in automatic learning meth ods for the problems of morphological tagging and parsing across languages with high level of inflec tion. Further, we encourage quantitative and quali tative comparison/evaluation studies across langua ges on the inputs and the outputs of the mentioned procedures. The workshop encourages reports of wo rk on: Summarization of morphological and syntact ic features relevant for various automatic learnin g procedures.Tendencies of improvement of the auto matic learning methods. Presentation of implemente d modifications and their cross language evaluatio n.New/Latest algorithms for automatic learning.Hyb rid approaches (Although, there are trials to appl y hybrid approaches, it seems that the true key of how to combine the various parts has still not be en found and lies mainly in the success of analyzi ng the errors of each single component. Studies wh ich present the connection elements for a successf ul combination of diverse approaches are invited.) This workshop is part of ESSLLI'03. For more info rmation, see http://ckl.mff.cuni.cz/~alaf03/ X-ALT-DESC;FMTTYPE=text/html:\n
\n Automatic (machine) learning approaches to any NLP task\n became a rich area with a variety o f methodologies.\n During the last years, i ts development made significant\n progress in the direction of presenting new methods and,\n at the same time, their modifications. Thes e modifications\n are of different nature a nd dependent on the language under\n consid eration. The aim of the workshop is to present and \n evaluate various modifications of the au tomatic learning\n methods originally devel oped for English and declared as\n language independent. We are especially interested in\n automatic learning methods for the problems o f morphological\n tagging and parsing acros s languages with high level of\n inflection . Further, we encourage quantitative and qualitati ve\n comparison/evaluation studies across l anguages on the inputs\n and the outputs of the mentioned procedures. The workshop\n e ncourages reports of work on:\n
\n < ol>\nThis workshop is part of ES SLLI'03.\n For more information, see http://ckl.mff.cuni.cz/~alaf03/\n
URL:/NewsandEvents/Archives/2003/newsitem/369/18-2 2-August-2003-Adaptation-of-Automatic-Learning-Met hods-for-Analytical-and-Inflectional-Languages END:VEVENT END:VCALENDAR