| Workshop description | Programme | Submission instructions | Important dates | Program Committee | Organizing Committee |
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A Workshop on Acquisition and Management In conjunction with RANLP-2007 Sponsored by Expert System Inc. Endorsed by the ACL Special Interest Group on the Lexicon (ACL-SIGLEX)
Borovetz, Bulgaria The current trend of information exchange on the Internet to become ever more multilingual has stimulated new important developments in the field of multilingual Natural Language Processing (NLP). The present workshop is concerned with the problem of automatic management of lexical resources, which lie at the heart of many multilingual technologies. In recent years one could witness an increased interest of NLP research in the automated discovery of equivalent expressions in different languages. New interesting directions have sprung up, such as the use of the Web and comparable corpora for this task, and new kinds of lexical phenomena, such as multiword expressions and named entities, have come into focus. This workshop will bring together researchers working on a broad range of problems related to the management of multilingual lexical resources - their acquisition, maintenance, customization, and re-use. The scope of the workshop includes evaluation of multilingual lexicons intended for a broad range of applications: from personalized glossaries for a translation project to large-scale machine-readable dictionaries and databases. Specific topics of interest for the proposed workshop are:
Format. Authors are invited to submit full papers on original, unpublished work in the topic area of this workshop. Papers should be submitted as a PDF file, formatted according to the RANLP 2007 stylefiles and not exceeding 8 pages. The RANLP 2007 stylefiles are available at: As reviewing will be blind, the papers should not include the authors' names and affiliations. Furthermore, self-references that reveal the authors' identities should be avoided. Papers that do not conform to these requirements will be rejected without review. Submission procedure. Please submit your paper at: http://quad.softconf.com/ranlp/amml07/submit.html. Reviewing. Each submission will be reviewed at least by two members of the Program Committee. Reviewers will be asked to provide detailed comments, and to score submitted papers on the following factors:
Accepted papers policy. Accepted papers will be published in the workshop proceedings. By submitting a paper at the workshop the authors agree that, in case the paper is accepted for publication, at least one of the authors will attend the workshop; all workshop participants are expected to pay the RANLP-2007 workshop registration fee.
Eneko Agirre (Basque Country University, Spain)
by Bruno Pouliquen (Language Technology Group, JRC) The speaker will present work on automatically acquiring multilingual name dictionaries from news texts in 19 languages and on using such dictionaries and gazetteers to link related news over time and across languages. The purpose of this work is to allow users to navigate and explore news collections, compare news about the same subject across languages, and to collect information such as name variants and other name attributes about people and other entities from large multilingual news collections. The technology and the created lexical resources are fully integrated into the news aggregation, analysis and exploration system NewsExplorer, which is publicly accessible at http://press.jrc.it/NewsExplorer. NewsExplorer groups news about the same topic or event, displays the names of persons, organisations and locations for each news cluster, links these clusters over time and across languages, collects name variants and name attributes for currently 630,000 entities from multiple languages and displays them on dedicated person pages. Bruno Pouliquen is a senior researcher in the Language Technology group of the European Commission’s Joint Research Centre in Ispra, Italy. He specialises in information extraction, document clustering and classification, techniques to cross the language barrier and the visualisation of automatically extracted information. He holds a Ph.D. in Computer Science since 2002.
Viktor Pekar Contact information: For questions or comments, please contact Andrea Mulloni (amulloni at expertsystem-it). |