Course: SCIE97 1st announcement (fwd)

Csaba Pleh Center for Advanced Study in the Behavioral Sciences 202 Junipero Serra Blvd Stanford, Ca. 94305 T.: (415)321-2052, Fax: ...1192 Home: (415)947-9641 ---------- Forwarded message ---------- Date: Wed, 29 Jan 1997 11:41:04 +0100 From: Summer.School.on.Information.Extraction(a)cogsci.ed.ac.uk To: scie1997(a)info.utovrm.it Subject: Course: SCIE97 1st announcement Resent-Date: Thu, 30 Jan 97 20:59:09 +100 Resent-From: pleh(a)izabell.elte.hu Resent-To: csaba.pleh(a)casbs.Stanford.EDU ------------------------------------------------------------------------------ Dear Colleague, please find enclosed the first announcement of the summer school on information extraction SCIE-97 that will take place next july. I am sorry for the inconvenience that a multiple reception of this message could have caused. Best Regards, Maria Teresa Pazienza ------------------------------------------------------------------------------ FIRST ANNOUNCEMENT ================== SUMMER SCHOOL ON INFORMATION EXTRACTION (SCIE-97) University of Roma, Tor Vergata, Villa Mondragone Frascati, Roma, Italy, 14-19 July 1997 The Artificial Intelligence group of the Department of Computer Science, Systems and Production of the University of Roma, Tor Vergata, in cooperation with the Italian Association of Artifical Intelligence (AI*IA), is pleased to announce the first Summer School on Information Extraction 1997 (SCIE-97), to be held in Frascati, Roma, Italy, on 14-19, July . Aim of the school is to bring together researchers and practicioners of the different scientific areas involved in Information Extraction (Natural Language Processing, Information Retrieval, Machine Learning, Statistics, ...) to stress its multidisciplinary nature. The increasing availability of new information trasmission technologies demands new and more personal information filtering methods: in fact it is obvious that it is not the amount of information that gives the value but the possibility to access it at the right time and in the most suitable form. The need of users to have filtered access to a mass of multi-media information by means of a personalised information profile, induced a growing effort in industries and state-owned organizations (e.g. academia) in launching projects to develop systems satisfying these requirements. Fully developed systems should provide the user with filtered information, that is direct access to pertinent data among huge data flows. This has the benefits, from the users' viewpoint, to dramatically reduce the necessary browsing time. Information extraction is a crucial need in several IT areas (e.g. document management, access to full text databases, or navigation in texts) and its successful application will be a relevant progress towards the future information society. The Summer School on Information Extraction (SCIE-97) aims to put together advanced contributions to studies and projects on Information Extraction from the different involved areas. The school is organized as a set of technical courses held by international experts in the field, on the main scientific IE themes. Technical demonstrations of current IE technologies and systems will be also held at the school. Specific workshops are planned to favor the cooperative discussion among specialists and fellows. ============================================================================ A preliminary list of invited teachers as well as the related course subjects follows: 1)-Yorick Wilks (University of Sheffield) "Information Extraction: methodological and technological issues" 2)-Bran Boguraev (Apple Computer -Cupertino) "Terminology identification and extraction" 3)-Greg Grefenstette (Rank Xerox Research -Grenoble, France ) "Quantitative methods for NLP driven IR" 4)-Ralph Grishman (University of New York) "Processing sublanguages" 5)-Alan Smeaton (University of Dublino) "Language processing and Large scale Information retrieval" 6)-Nicola Guarino (LADSEB-CNR Padova) "Formal onthology for knowledge sharing and integration" 7)-Lorenza Saitta (University of Torino) "Unsupervised and Supervised learning" 8)-Sophie Cluet (INRIA, Parigi) "Methods and tools for data base management of structured documents" ============================================================================ The Program Commettee is composed by: # prof. Maristella Agosti (Univ. of Padova) # prof. Paolo Atzeni (Univ. of Roma III) # prof. Luigia Carlucci Aiello (Univ. of Roma "La Sapienza") # prof. Floriana Esposito (Univ. of Bari) # prof. Maria Teresa Pazienza (Univ. of Roma, Tor Vergata) (chair) The following institutions already confirmed their support to SCIE-97 : - ESA (European Space Agency) - Fondazione Ugo Bordoni - Italian Association for Artificial Intelligence (AI*IA) Other institutions are planning a specific support: - European Community (EC) - National Research Council - CNR - ENEA Participants will be fully informed about the current status of the art during one week of plenary courses and workshops in the pleasant atmosphere of the historical city of Frascati (very close to Rome - Italy). our w3 pages (http://babele.info.utovrm.it/~scie97) Local Organization - R. Basili (Univ. Roma Tor Vergata) - M. Di Nanni (Univ. Roma Tor Vergata) - G. Pedani (Univ. Roma Tor Vergata) - M. Vindigni (Univ. Roma Tor Vergata) School e-mail: scie97(a)info.utovrm.it ------------------------------------------- SCIE-97 Summer School on Information Extraction University of Roma, Tor Vergata Via della Ricerca Scientifica 00133 ROMA (ITALY) tel +39 6 72594488/4484 fax +39 6 2020519 mailto:scie97@info.utovrm.it http://babele.info.utovrm.it/~scie97 -------------------------------------------