Editor for this issue: Jody Huellmantel <jody
linguistlist.org>
CALL FOR PAPERS SPECIAL ISSUE of COMPUTATIONAL LINGUISTICS on TEXT SUMMARIZATION ==================================================================== Guest Editors: Dragomir Radev radevMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issueumich.edu University of Michigan Kathy McKeown kathy
cs.columbia.edu Columbia University Eduard Hovy hovy
isi.edu University of Southern California/Information Sciences Institute ===================================================================== Text summarization is one of the more complex challenges of natural language processing. Its goal is to summarize the content of one or more documents depending on the information needs of the user. Current research in text summarization involves statistical and knowledge-rich approaches that involve sentence and/or phrase extraction and text generation. Most current systems first identify the most salient information in the input material and then synthesize that information while trying to preserve the essence of the original text. Interest in text summarization has risen over the last 10 years due to the advent of the Internet and the unprecedented availability of on-line textual data. In recent years, the "three Ms" (multilinguality, multidocument, multimedia) have motivated some exciting research projects. Most recently in the USA, the TIDES program has funded several projects that involve multidocument and eventually multilingual summarization. Reflecting these events, researchers have organized several meetings over the past years. The most recent such meeting at the ANLP/NAACL conference in Seattle attracted 100 participants (including from academia, industrial labs, startups, and the government) from the US, Canada, the UK, Germany, France, Korea, Israel, Japan, Sweden, Singapore, Spain, Hong Kong, and Belgium. Research in summarization is also active in a dozen more countries throughout the world. Europe, and the rest of the world. The first collection of papers related to document summarization appeared in 1995 in a special issue of Information Processing and Management edited by Karen Sparck-Jones and Brigitte Endres-Niggemeyer. A compendium of papers on text summarization, edited by Inderjeet Mani and Mark Maybury, appeared in 1998. Most of these papers date from an ACL/EACL workshop in 1997 and earlier. There has been no general collection of papers since that time. Therefore we believe the time is ripe for Computational Linguistics to present an overview of the state of the art in text summarization. SAMPLE TOPICS OF INTEREST Linguistic and statistics based techniques for topic identification Linguistic and statistics based techniques for summary generation Studies of human summarization Evaluating summaries and summarization systems Multidocument summarization, including reconciliation of inconsistencies Multilingual summarization Summarization metadata: determining and expressing trustworthiness and recency Types and classes of summaries NOTES Papers should not simply describe an existing system. Of primary interest is the theoretical basis for the summarization process, summary evaluation, and the typology of summaries; the particular implementation of a set of word- and phrase-weighting techniques is of secondary concern. SCHEDULE Call for papers issued: June 23, 2000 Papers due: December 15, 2000 Notifications to authors: March 15, 2001 SUBMISSION PROCESS Electronic submission is preferred, but hard copy will also be accepted. No attachments are to be submitted under any circumstances. If sending hard copies, you should submit six copies. All submissions should be sent to the journal editor (Julia Hirschberg) according to the instructions in http://www.aclweb.org/cl/ . In addition to following the procedure described there, authors should send the abstract of their paper electronically to the three guest editors: <radev
perun.si.umich.edu>, <kathy
cs.columbia.edu>, <hovy
ISI.EDU>. Note that for this special issue two types of papers will be accepted: long papers (more than 20 pages) and short papers (less than 20 pages). Both types of papers will be reviewed according to the same criteria. We would ideally like to have papers of both types in the printed journal. Questions about the submission process should be addressed to radev
umich.edu Each submitted paper will be refereed by two experts appointed by the permanent editorial board of CL and by two more reviewers selected by the guest editors.
CALL FOR PAPERS INFORMATION STRUCTURE AND THE REFERENTIAL STATUS OF LINGUISTIC EXPRESSIONS Workshop is part of the 23th annual meeting of the Deutsche Gesellschaft f�r Sprachwissenschaft (=DGfS). http://www.uni-leipzig.de/~dgfs2001 University of Leipzig 28 February - 2 March 2001 DESCRIPTION Information structure has been of great interest for some time. In recent theories, information structure is investigated with respect to its relation to intonation, its role in the interpretation of focus particles, or its impact on establishing ellipsis. However, there are very few approaches that focus on the effect of information structure on the referential status of linguistic expressions. The Workshop intends to discuss the relation between information structure and the referential properties of two prominent linguistic units: indefinite NPs and clauses. On the one hand, we intend to discuss the interpretation of indefinite NPs with respect to the information structure, on the other hand, we want to investigate the connection between information structure and sentence mood. Specific areas of inquiry include, but are not limited to the following: 1. What is the impact of linguistic context on the interpretation of indefinite NPs? 2. How are indefinites interpreted in contrastive focus, presentational focus or background as well as in topic or comment? 3. To what extend does the interpretation of an indefinite depend on the sentence mood of the sentence it is embedded in? (Cf. 'Have you seen a dog? *Yes, I've fed it. vs. Peter has seen a dog. He has fed it.) 4. How does information structure syntactically and semantically interact with sentence mood? 5. Are there any pieces of evidence for the assumption that information structure may determine the referential status of a sentence? 6. How do discourse relations determine the sentence types and thus the referential status of the respective sentence? The objective of the workshop is to integrate syntactic investigations on the field of sentence mood with semantic approaches towards the interpretation of indefinite NPs in the light of information structure and hopes thus to gain synergetically new insights. ABSTRACT SUBMISSION Abstracts are invited for thirty-minute talks (twenty minutes for presentation plus ten minutes for discussion) Papers may be presented in German or English Please submit: - an anonymous one-page abstract, single-spaced in 12-pt Times font; - for each author, one copy of the information form below. Electronic submissions are encouraged; abstracts should be attached in plain text format or as Word files. DEADLINE All submissions must be received by August 31, 2000. Send submissions to: Kerstin Schwabe ZAS Jaegerstr. 10/11 D-10117 Berlin Germany Send abstracts by FAX to: +49 - 30 - 20 192 402 or by e-mail to: schwabeMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuezas.gwz-berlin.de Notification of acceptance will be emailed in mid-September. IMPORTANT DATES * 31 August 2000: deadline for submittal of abstracts * 15 September 2000: notification of acceptance * 28 Feb.- 2. March: workshop CONTACT For further information contact one of the organizers: Klaus von Heusinger klaus.heusinger
uni-konstanz.de Kerstin Schwabe schwabe
zas.gwz-berlin.de or our workshop homepage: http://ling.uni-konstanz.de/pages/home/heusinger/konf-proj/AG01/ LOCAL ORGANISATION Prof. Dr. Gerhild Zybatow Universit�t Leipzig Institut f�r Slavistik http://www.uni-leipzig.de/~dgfs2001 - -------------------------- AUTHOR INFORMATION FORM title of the talk: name(s) of the author(s): affiliation(s): mailing address of the first author: email-addresses: