Information Retrieval List Digest 464 (July 26, 1999) URL = http://hegel.lib.ncsu.edu/stacks/serials/irld/irld-464.txt IRLIST Digest ISSN 1064-6965 July 26, 1999 Volume XVI, Number 28 Issue 464 ****************************************************************** I. QUERIES 1. ERGO: Parser Integrity II. JOBS 1. Penn State U.: School of Information Sciences and Technology: Faculty Members III. NOTICES A. Publications 1. "News from the Field" / Journal of Internet Cataloging: RFSubmissions B. Meetings 1. Searching for Information: AI and IR Approaches 2. NTCIR/IREX Joint Workshop: CFPapers C. Miscellaneous 1. Amanda Spink Joins New Penn State School of Information Sciences and Technology IV. PROJECTS C. Awards, Fellowships, Grants, & Scholarships 1. NSF Alan T. Waterman Award: Nominations Due 10/31/99 2. Funded Studentship in Electronic Information/Publishing ****************************************************************** I. QUERIES I.1. Fr: Karen Smith Re: ERGO: Parser Integrity I am a linguist working at Ergo Linguistic Technologies in Honolulu, HI. We are currently attempting to refresh and update our collection of parsers and parser web sites. We currently have the following parsers in our offices: Davy Temperley, Daniel Sleator, and John Lafferty's "The Link Grammar Parser" from Carnegie Mellon University, "LFG" from Xerox PARC, "Apple Pie Parser" from NYU, "ENGCG Constraint Grammar Parser of English" from Lingsoft, Inc., "The Functional Dependency Grammar Parser" of Atro Voutilainen and Mikko Silvonen from Finland, Georgetown University's "Natural Language Processing Parser", Stanford University's "LinGO Parser", Prospero Software's "Parser Version 1.0 for DOS", "The FranklinParser" from Proximity Technology, Inc., and "Natural Language Parser Demo" from The University of Finland's Natural Language Processing Department. If anyone knows of any other parsers, especially from universities or high technology development corporations like IBM or Microsoft, please let me know. We are also looking for software tools that use parsers as an internal component. We will post a complete list of these tools and the relevant websites on our homepage on a "related sites" link. All feedback is welcomed. The standards by which each of the parsers listed below were judged can be located at the Ergo Linguistic Technologies website under "parser contest". Here you will find a full explanation of what Ergo Linguistic Technologies feels the standards for parsing technology should be. Basically, the analysis is broken into seven different areas, each having several objectives that need to be met. The seven categories are as follows: structural analysis of strings, evaluation of strings, manipulation of strings, question/answer, statement/response repartee, recognition of the essential identity of synonymous structures, navigation and control, and lexicography. CARNEGIE MELLON UNIVERSITY [LINK GRAMMAR] The Link Grammar Parser is "a syntactic parser of English, based on link grammar, an original theory of English syntax." This parser identifies parts of speech, parts of sentence, internal clauses and sentence type, but does not identify tense and voice of main clause and internal clauses (identifies tense only). It recognizes acceptable strings, gives number of correct parses that succeeded, identifies phrases of acceptable parses, and gives the number of unacceptable parses that were tried, but does not give the exact time of the parses in seconds or reject unacceptable strings. It has no manipulation of strings. It identifies whether a string is a yes/no question, a wh-question, or a command, but does not have any other statement/response, question/answer repartee. It demonstrates no recognition of the essential identity of synonymous structures and demonstrates no navigation and control functions. The lexicon has 60,000 words and the core vocabulary is suitable to a wide variety of applications. The parser recognizes single and multi-word items and recognizes a variety of grammatical features. It does not have tools to facilitate the addition, modification, or deletion of lexical entries and it can not mark and link synonyms and classes of lexical items. The output of this parser is in the form of a tree diagram consisting of a series of linkages. Each link is marked with Link Grammar's own proprietary labels. This system was found to be rather hard to follow since at every link one must refer back to a previous page to uncover the meaning of that particular link. http://bobo.link.cs.cmu.edu/grammar/html/intro.html LINGSOFT, INC. [ENGCG CONSTRAINT GRAMMAR PARSER OF ENGLISH] This parser, developed at the Department of General Linguistics at the University of Helsinki, gives a morphological analysis of running English text. It identifies the parts of speech and parts of the sentence, but does not identify internal clauses, sentence type or tense and voice of the main clause or internal clauses. It does identify the phrases of successful parses, but does not recognize acceptable strings, reject unacceptable strings, give the correct number of parses that succeeded or the number of unacceptable parses that were tried. It also does not give the exact time of parses in seconds. This parser generates no manipulation of strings. It is capable of identifying whether a string is a statement, yes/no question, wh-question or a command, but demonstrates no other question/answer, statement/response repartee. This parser also recognizes the heads of phrases with and without associated modifiers, but it has no other recognition of the essential identity of synonymous structures. It distinguishes commands from questions and statements, but does not distinguish commands for OS characters or programs, does not provide a sufficiently detailed analysis of commands to allow proper responses, and it does not recognize synonymous commands. There is no data available on the size of the lexicon, but it does recognize single and multi-word items, recognizes a variety of grammatical features, and has a core vocabulary that is suitable to a wide variety of applications. However, it can not mark and link synonyms and classes of lexical items, and it does not have tools to facilitate the addition, modification, and deletion of lexical entries. The output of this parser is in the form of a list that provides a part of speech and part of sentence analysis. http://www.lingsoft.fi/cgi-pub/engcg UNIVERSITY OF HELSINKI [FUNCTIONAL DEPENDENCY GRAMMAR PARSER FOR ENGLISH] This parser gives a surface-syntactic analysis of a running text. This parser identifies parts of speech and parts of the sentence, but does not identify internal clauses, sentence type or tense and voice of the main clause or internal clauses. It does identify the phrases of successful parses, but does not recognize acceptable strings, reject unacceptable strings, give the correct number of parses that succeeded or the number of unacceptable parses that were tried. It also does not give the exact time of parses in seconds. This parser generates no manipulation of strings, and has no question/answer, statement/response repartee. Furthermore, it does not recognize the essential identity of synonymous structures and demonstrates no navigation and control functions. No information was available on the size of the lexicon, but it does recognize single and multi-word items, a variety of grammatical features, and seems to have a core vocabulary that is suitable to a wide variety of applications. However, it does not have any tools to facilitate the addition, modification, or deletion of lexical entries and it is unable to mark and link synonyms and classes of lexical items. The output of this parser provides a part of speech and some part of sentence analysis in the form of a list. http://www.ling.helsinki.fi/~tapanain/dg/eng/demo.html GEORGETOWN UNIVERSITY [NATURAL LANGUAGE PROCESSING PARSER MODULARITY DEMONSTRATION] This parser identifies parts of speech and parts of the sentence, but does not identify internal clauses, sentence type or tense and voice of the main clause or internal clauses. It does recognize acceptable strings and reject unacceptable strings, gives the number of correct parses that succeeded, but not the number of unacceptable parses that were tried. It also identifies the phrases of acceptable parses and gives the exact time of parses in seconds. This parser demonstrates no manipulation of strings or question/answer, statement/response repartee. It also can not recognize the essential identity of synonymous structures and demonstrates no navigation and control functions. The lexicon does not contain a minimum of 50,000 words, but rather has only 23,000 entries. However, it does recognize single and multi-word items as well as a variety of grammatical features. It also has tools that facilitate the addition, modification, and deletion of lexical items. However, its core vocabulary is not suitable to a wide variety of applications and it is unable to mark and link synonyms and classes of lexical items. The output of this parser provides a part of speech analysis for each word in the sentence in the form of a list. http://www.georgetown.edu/cgi-bin/compling/slctscr.pl STANFORD UNIVERSITY [LINGO] Linguistic Grammars Online or LinGo is a "multi-purpose broad-coverage grammar of English". This parser identifies parts of speech and tense and voice of the main clause, but the output from the parse is not very clear. It does not identify parts of the sentence, internal clauses, the tense and voice of internal clauses, or sentence type. It recognizes acceptable strings, unacceptable strings, gives the number of correct parses that succeeded, and identifies the phrases of successful parses. However, it does not give the number of unacceptable parses that were tried or the exact time of parses in seconds. This parser is able to identify tense and voice in sentences with and without internal clauses, but demonstrates no other manipulation of strings. It identifies tense in questions, but does not identify the appropriate tense for responses. It shows no other question/answer, statement/response repartee. It also shows no recognition of the essential identity of synonymous structures and demonstrates no navigation or control functions. There was no information available on the size of the lexicon, however many words were found in the dictionary. It recognizes single and multi-word items and recognizes a variety of grammatical functions. However, it does not have tools to facilitate the addition, modification, and deletion of lexical entries and it is not able to mark and link synonyms and classes of lexical items. The output of this parser provides a part of speech analysis, however it is somewhat hard to follow and no explanation of the labels were given. Upon corresponding with Rob Malouf via email about this, I was referred to another web address containing a document that explains the labels more thoroughly. This explanation can be found at ftp://ftp-csli.stanford.edu/linguistics/sag/mrs.ps.gz http://hpsg.stanford.edu.8000/lingo/parser.html PROSPERO SOFTWARE [PARSER VERSION 1.0 FOR DOS] This parser is able to identify parts of speech, but it is not able to identify parts of a sentence, internal clauses, sentence type, or tense and voice of the main clause or internal clauses. This parser shows no evaluation of strings or manipulation of strings. It does identify tense in questions, but does not identify the appropriate tense for responses. It demonstrates no other question/answer, statement/response repartee and demonstrates no recognition of the essential identity of synonymous structures or navigation and control functions. This parser has a large dictionary with several hundred thousand entries, well above the suggested 50,000. It recognizes single and multi-word units as well as a variety of grammatical features. The core vocabulary is suitable to a wide variety of applications however, the parser does not have tools to facilitate the addition, modification or deletion of lexical entries and it is unable to mark and link synonyms and classes of lexical items. This parser's output provides a part of speech analysis in the form of a list. http://www.prosperosoftware.com/np1id2.html PROXIMITY TECHNOLOGY, INC [FRANKLIN PARSER] This parser can be found in Ken Litkowski's Dictionary Maintenance Programs also referred to as DIMAP. This parser identifies parts of speech, parts of a sentence, and internal clauses, but it is not able to identify sentence type, tense and voice of main and internal clauses. The Franklin parser does not recognize acceptable strings or reject unacceptable strings. It also does not give the number of correct parses that succeeded or the number of unacceptable parses that were tried. It also does not give the exact time of parses in seconds. However, it does identify the phrases of successful parses. It does not show any manipulation of strings, question/answer, statement/response repartee, recognition of the essential identity of synonymous structures, or navigation and control functions. The dictionary includes more than 120,000 headwords and the core vocabulary is suitable to a wide variety of applications. The parser recognizes single and multi-word items as well as a variety of grammatical features , but it is not able to mark and link synonyms and classes of lexical items. This parser's output provides a part of speech and part of sentence analysis in the form of a chart. http://proximity.franklin.com/parse.htm UNIVERSITY OF FINLAND'S NATURAL LANGUAGE PROCESSING DEPT. [NATURAL LANGUAGE PARSER] This parser has not been thoroughly examined as of the present. Preliminary assessments show that the parser identifies parts of speech and parts of sentence, but does not identify internal clauses, sentence type, tense and voice of main and internal clauses. It also recognizes acceptable strings and rejects unacceptable strings. This parser is case sensitive. It gives the correct number of parses that succeeded, but does not give the number of unacceptable parses that were tried or the exact time of parses in seconds. It shows no manipulation of strings, question/answer, statement/response repartee or recognition of the essential identity of synonymous structures. The lexicon uses a collection of dictionaries such as CUOVALD, Word Net, and Link Grammar, so the core vocabulary is suitable for a wide variety of applications and it recognizes a variety of grammatical features and single and multi-word items. A more complete analysis of this parser will be completed in the near future. The output of this parser provides a part of speech and some part of sentence analysis in the form of a tree diagram. http://pointti.vip.fi/nlpd.html XEROX PARC [LFG PARSER] This parser is currently undergoing evaluation and a complete analysis will be posted to our website when it is available. We are in the process of contacting Xerox PARC for more information about this product. ftp://ftp.parc.xerox.com/pub/lfg/ NEW YORK UNIVERSITY [APPLE PIE PARSER] This parser is currently undergoing analysis. When analysis is available, it will be posted to our website. http://cs.nyu.edu/cs/projects/proteus/app/index.html UNIVERSITY OF MANITOBA [MINIPAR] This parser was downloaded, but the demo was unable to be opened. Our programmer is currently working on the problem. When an analysis is available, it will be posted to the website. http://www.cs.umanitoba.ca/~lindek/minipar/htm and of course our own parser at ... ERGO LINGUISTICTECHNOLOGIES http://www.ergo-ling.com/ For those of you who would like to look at and compare parsers but are unfamiliar with parsing, you can go to the Ergo web site "Parsing Contest" page to find good test sentences and a discussion of standards for comparing parsers. It should take just a few hours to actually go through, look at and try all these parsers. Karen Smith Linguist Ergo Linguistic Technologies 2800 Woodlawn Dr., Ste. 175 Honolulu, HI 96822 Tel (808) 539-3920 Fax (808) 539 -3924 smithkar@htdc.org http://www.ergo-ling.com/ ****************************************************************** II. JOBS II.1. Fr: Amanda Spink Re: Penn State U.: School of Information Sciences and Technology: Faculty Members Penn State's School of Information Sciences and Technology (IST)[http://www.ist.psu.edu] invites applications for full-time tenure-track positions, with rank to be determined on the basis of qualifications and experience. Senior ranks will be considered for applicants with recognized national and international stature. Faculty members will have an opportunity to participate actively and contribute significantly to the formative stages of this exciting new School and program. PSU-IST is an initiative by Penn State President Graham Spanier. The School is an academic unit that has the stature of a College within the University. PSU-IST will offer a baccalaureate program for the first time in the Fall Semester 1999 and it is anticipated that a graduate program will be introduced in the Fall Semester 2000. IST is an interdisciplinary program intended to offer students an integrated curriculum covering a wide range of knowledge and skills in Information Sciences and Technology. Students will learn the general principles that govern the creation, organization, application, and structure of information, as well as the implications of information science and technology to law, ethics, and social policy. Subjects will include, but not be limited to, such diverse topics as computer applications in non-technical and technical areas, basic hardware and software concepts, information/data management and retrieval, telecommunications, user behavior and evaluation, information policy, multimedia applications and electronic commerce. A non-exclusive list of application domains includes engineering, the social sciences, environmental sciences, agriculture, libraries, geography, health, law and business. Close interaction and collaboration with traditional and existing Penn State programs will be encouraged and strong partnerships with industry and government are already developed and expected to increase significantly. Candidates should hold a doctorate degree. The discipline of the candidate's education is not as important as having strong interest and experience in computer applications within that discipline. Qualifications include a strong interest in and commitment to teaching at both undergraduate and graduate level. Candidates should also have strong research potential or experience in areas consistent with the information orientation of the School and have the potential or experience to obtain and direct funded research projects. Screening of candidates has begun and applications will be accepted until the positions are filled. A full curriculum vita, a one-page statement of professional interest, and the names, addresses, telephone numbers, and email addresses of three references should be submitted to: Chair, Faculty Search Committee School of Information Sciences & Technology 504 Rider Building I, Box W 120 South Burrowes Street The Pennsylvania State University University Park, PA 16802 Penn State is committed to affirmative action, equal opportunity, and the diversity of workforce. ****************************************************************** III. NOTICES III.A.1. Fr: Gerry Mckiernan Re: "News from the Field" / Journal of Internet Cataloging: RFSubmissions For my next "News from the Field" column for the _Journal of Internet Cataloging: The International Quarterly of Digital Organization, Classification, and Access_ (JIC), I would appreciate any and all news items about current or planned efforts for organizing or providing enhanced access to Internet or Web resources The homepage for JIC is http://www.haworthpressinc.com/jic/ I am interested in relevant conferences, workshops, discussions, institutes, presentations, and/or other programs. I am also interested in current or completed digital/digitization projects, as well as noteworthy articles, reports, journals, newsletters or other print or electronic publications. The full-text of my latest column is available at: http://www.haworthpressinc.com/jic/jic2nr2news.html I would most appreciate receiving any submissions for my next column no later than August 15th. Thanks! Regards, /Gerry McKiernan Curator, CyberStacks(sm) and Theoretical Librarian Iowa State University Ames IA 50011 gerrymck@iastate.edu ********** III.B.1. Fr: Mounia Lalmas Re: Searching for Information: AI and IR Approaches SEARCHING FOR INFORMATION: ARTIFICIAL INTELLIGENCE AND INFORMATION RETRIEVAL APPROACHES Advanced call for participation and posters A Colloquium organised by the Professional Group IEE A4 (Artificial Intelligence) Co-sponsored by the BCS IRSG group. 11-12 November, 1999 The IEE Teacher's Building, Glasgow AIMS AND SCOPE The amount of available information is currently growing at an incredible rate; a particular example of this is the Internet. To use this information, whether for business or leisure purpose, we need techniques and tools to allow for fast, effective and efficient access to large amounts of stored information. The field of information retrieval (IR), and more recently, the field of artificial intelligence (AI) have been looking at this problem. The IR field has developed successful methods to deal effectively with huge amounts of information, whereas the AI field has developed methods to learn the user's information needs, extract information from text, and represent the semantics of information. However, both fields have suffered from the fact that each community is often unaware of the work of the other. This event brings together the two fields of AI and IR, to allow for the sharing and combination of techniques, with the aim to improve the search process. The event is composed of presentations given by leading researchers in AI and IR that are looking at developing efficient and effective access to large amount of stored information. The event will present both theoretical and applicative results on the use of IR and AI techniques to seek information. This event is a first contribution to bridge the gap between the two research communities. WHO SHOULD ATTEND The event will be of direct relevance to academics and post-graduate students working in the field, industrial-commercial researchers, and end-users of search systems. Participants will benefit from hearing about current theoretical and practical developments across a wide range of activities. INVITED SPEAKERS The organising committee is pleased to announce the participation of the following invited speakers: Theo Huibers, DOXiS, The Netherlands Keith van Rijsbergen, University of Glasgow, Scotland Stephen Robertson, Microsoft Research Ltd, England Yorick Wilks, University of Sheffield, England Susan Craw, Robert Gordon University, Scotland Dieter Fensel, University of Karlsruhe, Germany Carole Goble, University of Manchester, England Marc Moens, Language Technology Group, Scotland John P Eakins, University of Northumbria at Newcastle, England Yves Chiaramella, Laboratoire CLIPS-IMAG, France Gianni Amati, Fondazione Ugo Bordoni, Italy Karen Sparck-Jones, Computer Laboratory, England CONTRIBUTIONS To offer better interaction with participants, the event will contain poster sessions. These enable participants to present late-breaking results, work in progress, or work that is best presented interactively or graphically. If you are interested in presenting your work as a poster at this event, a description of 1,000 words or less of the work that will be covered in your poster should be submitted. Poster submissions should be sent to arrive by 1 September, 1999, to: Alison Cawsey Department of Computing and Electrical Engineering Heriot-Watt University, Edinburgh EH14 4AS Email: alison@cee.hw.ac.uk REGISTRATION For a registration form (when available) please contact: IEE Events Office, Savoy Place, London WC2R 0BL, Tel: +44 (0)20 7344 5732/5733, Fax: +44 (0)20 7497 3633, Email: events@iee.org.uk. Delegates must arrange their own accommodation. ORGANISOR Mounia Lalmas, Queen Mary & Westfield College, University of London, England Alison Cawsey, Heriot-Watt University, Scotland Keith van Rijsbergen, University of Glasgow, Scotland VENUE The IEE building in Glasgow is centrally located with excellent facilities. See http://www.iee.org.uk/SEC/building.htm. WEB SITE Tba CORRESPONDENCE: Direct correspondence, inquiries related to this event should be addressed to: Mounia Lalmas Department of Computer Science Queen Mary & Westfield College, University of London London E1 4NS, UK. Email: mounia.lalmas@dcs.qmw.ac.uk Alison Cawsey Department of Computing and Electrical Engineering Heriot-Watt University, Edinburgh EH14 4AS Email: alison@cee.hw.ac.uk PROGRAMME (provisional) Thursday 11 10.00 Registration and Coffee 10.45 Opening and introduction 11.00 Yorick Wilks The issues of representations in AI, IR and NLP 11.45 Dieter Fensel Applying AI to the web 12.30 Lunch and poster session 14.00 John P Eakins How smart are current image retrieval techniques? 14.45 Carole Goble A picture representing triumph or similar: classification based navigation and retrieval for picture archives 3.30 Coffee 4:00 Theo Huibers Intelligent information retrieval agents 4.45 Marc Moens Personalised information objects Friday 12 9.15 Opening and introduction 9.30 Karen Sparck-Jones IR lessons for AI 10.15 Coffee 10.45 Susan Craw Reinforcement Learning for Information Seeking 11.30 Gianni Amati Learning by examples as relevance feedback, and relevance feedback as learning by examples 12.15 Lunch and poster session 13.30 Keith van Rijsbergen Quantum Logic: A new paradigm for IR 14.15 Stephen Robertson Probabilistic retrieval: Thresholding for automatic filtering 15.00 Coffee 15.30 Yves Chiaramella tba 16:15: Discussion 17.30 Closing ********** III.B.2. Fr: Toshihiko Nozue Re: NTCIR/IREX Joint Workshop: CFPapers Call For Participation NTCIR/IREX Joint Workshop - Information Retrieval and Information Extraction - http://www.rd.nacsis.ac.jp/~ntcadm/workshop/joint/ Co-organized by NTCIR/NACSIS and IREX In cooperation with IPSJ, SIG-FI/IPSJ September 1, 1999 KKR Hotel Tokyo Tokyo, JAPAN The joint workshop of NTCIR (NACSIS Test Collection for IR) and IREX (Information Retrieval and EXtraction) will be held. Your participation is most welcome. o Date: 9:00 - 17:00 September 1, 1999 (18:00 - 18:30 Banquet) o Venue: KKR Hotel Tokyo 1-4-1 Ohtemachi, Chiyoda-ku, Tokyo 100-0004 JAPAN Phone: +81-3-3287-2921; Fax: +81-3-3287-2913 Just in front of the Takebashi Station of the Tozai Line Subway (0 minute to walk!!). Situated in 5-minite drive from Tokyo Station and across the street from the Imperial Palace. From the Narita International Airport to the Tokyo Station, there are frequent services of Shuttle trains and Limousine buses. o Fee: Admission is free Banquet: 8,500 Yen per person o Application for Participation: Send e-mail to ntcadm@rd.nacsis.ac.jp with (1) your name, (2) affiliation, (3) postal address, phone/fax number, e-mail address, (4) participation in reception or not. Participation will be first-come-first-served base. o Program (preliminary): 9:30 - 9:45 Opening Remarks 9:45 - 11:00 Keynote Speech(1) "TREC": Donna Harman (NIST, USA) 11:15 - 12:00 NTCIR Workshop Overview: Noriko Kando (NACSIS, Japan) 13:30 - 14:45 Keynote Speech(2) "TBA": Ralph Grishman (NYU, USA) 15:00 - 15:45 IREX Workshop Overview: Satoshi Sekine (NYU, USA) 15:45 - 16:45 Panel Discussion 16:45 - 17:00 Closing Remarks - - - - - - 18:00 - 19:30 Reception o Contact Information: NTCIR/IREX Joint Workshop Project (Attn: Toshihiko NOZUE) E-mail: ntcadm@rd.nacsis.ac.jp; Fax: +81-3-5395-7064 * Officail Language is English. * NTCIR Workshop is supported by JSPS "Research for the Future Program: Studies on Ubiquitous Information Systems for Utilization of Highly Distributed Information Resources." ********** III.C.1. Fr: Amanda Spink Re: Amanda Spink Joins New Penn State School of Information Sciences and Technology Amanda Spink, formally at the University of North Texas, has been appointed Associate Professor at the new Penn State School of Information Sciences and Technology (PSU-IST) [http://www.ist.psu.edu]. PSU-IST is a major initiative by Penn State President Graham Spanier to develop an interdisciplinary and leading edge program in information sciences and technology. Amanda is one of the first five faculty at PSU-IST and one of the first three senior faculty. She has an outstanding record of teaching and research in information science and retrieval. Twenty-five additional faculty will be sought over the next 3-4 years. Faculty positions at all levels are currently open for PSU-IST (see the PSU-IST web site for details). Interested faculty can also contact Amanda Spink at the ACM SIGIR conference or spink@ist.psu.edu after August 9. ****************************************************************** IV. PROJECTS IV.C.1. Fr: Maria Zemankova Re: NSF Alan T. Waterman Award: Nominations Due 10/31/99 Alan T. Waterman Award: 1999 Award Nominations Information (nsf99134) Program Announcements & Information is now available from the NSF Online Document System http://www.nsf.gov/cgi-bin/getpub?nsf99134 (MS Word fill-in forms and PDF files included) Nominations and references must be postmarked by October 31, 1999. Excerpt: The Award is presented annually by the National Science Foundation and National Science Board to an outstanding young researcher in any field of science or engineering funded by the National Science Foundation. It consists of a citation, a bronze medal, and a nonrestrictive grant of $500,000 over a 3-year period for scientific research or advanced study in the biological, mathematical, medical, engineering, physical, social or other sciences at the institution of the recipient's choice. Questions concerning the procedures, requests for additional information, or nomination or reference forms should be directed to the Committee's Executive Secretary, Mrs. Susan Fannoney, by or by telephone (703-306-1096). ********** IV.C.2. Fr: Stuart Peters Re: Funded Studentship in Electronic Information/Publishing ESRC CASE STUDENTSHIP -- DEADLINE AUGUST 14 NEW TECHNOLOGIES, ELECTRONIC CONSUMPTION AND STUDENT PARTICIPATION IN THE INFORMATION SOCIETY A full time ESRC CASE research studentship beginning in September 1999 is available in the Department of Sociology at the University of Surrey. The studentship is in collaboration with Sage Publications Ltd. The student would be jointly supervised by Dr. Nina Wakeford and Professor Nigel Fielding. The student should ideally possess skills in qualitative research and internet use. The standard ESRC research student conditions apply, but the studentship is enhanced by an additional allowance of 1625 pounds pa. Further particulars may be found on the Department of Sociology web site or contact Agnes McGill at Fax: +44 (0) 1483 259551 Phone: +44 (0) 1483 259450. The closing date for this CASE application is **14 AUGUST 1999**. Please complete the University Application Form, obtainable from Agnes McGill. Candidates must meet standard eligibility criteria for ESRC studentships . Stuart Peters Dept of Sociology University of Surrey Guildford GU2 5XH United Kingdom Tel: +44 (0)1483 259292 Fax: +44 (0)1483 259551 Electronic Publishing Resource Service -- EPRESS http://www.epress.ac.uk/ ****************************************************************** IRLIST Digest is distributed from the University of California, California Digital Library, 1111 Franklin Street, Oakland, CA. 94607-5200. Send subscription requests and submissions to: nancy.gusack@ucop.edu Editorial Staff: Nancy Gusack nancy.gusack@ucop.edu Cliff Lynch (emeritus) cliff@cni.org The IRLIST Archives is set up for anonymous FTP. Using anonymous FTP via the host hibiscus.ucop.edu, the files will be found in the directory /data/ftp/pub/irl, stored in subdirectories by year (e.g., data/ftp/pub/irl/1993). Search or browse archived IR-L Digest issues on the Web at: http://www.dcs.gla.ac.uk/idom/irlist/ These files are not to be sold or used for commercial purposes. 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