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Rank of Job: PhD studentship Areas Required: computational linguistics Other Desired Areas: University or Organization: Xerox Research Centre Europe Department: Content Analysis State or Province: Rh�ne-Alpes Country: France Final Date of Application: no final date Contact: Jean-Pierre Chanod Jean-Pierre.ChanodMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuexrce.xerox.com Address for Applications: 6, chemin Maupertuis Meylan Rh�ne-Alpes 38240 France PhD studentship in information extraction from running texts Profile: The Content Analysis group at Xerox Research Centre Europe (XRCE) invites applications for a PhD research studentship in the domain of automatic information extraction from running English texts, with special emphasis on biological texts. Our research agenda concerns theories, methods, tools and systems that make it possible to uncover the content of natural language texts. To learn more about our activities visit our web site at http://www.xrce.xerox.com/ Project: The proposed PhD research will focus on refining the type of information collected by existing information extraction systems. The research will bear on the one hand on the exploration of circumstances (e.g.localization, experimental conditions) associated with core events, and on the other hand on identifying meta-information attached to the events such as quotation source (author, reference), modalities, scope of validity. Here is an example of the kind of analysis expected (The sentence is taken from a scientific paper on genetics) : "(14) suggest that the rescue of the arrested-seed phenotype is caused by the reactivation of the paternally derived wild-type MEA allele in the developing seed," The core event: "the rescue of the arrested-seed phenotype is caused by the reactivation of the paternally derived wild-type MEA allele" The circumstance related to the core event: "in the developing seed" The meta-information: "(14) suggest" Although the recognition and differentiation of these levels of information is of high importance in most information extraction tasks, they have not been treated in a coherent way up to now. The theoretical challenge of the thesis is the definition of the representation of the contents and the form of both components in a language-independent way, their mapping into linguistic realizations in English, as well as the participation in the construction of a prototype for English texts in a special domain. To carry out this task the PhD student will have at her/his disposal the high-level syntactic and semantic analysis tools developed in XRCE. XRCE has a dynamic international team - the working language being English. The working conditions are excellent in exceptional surroundings in a residential suburb of Grenoble. The applicant should have fluent reading and writing skills in English. Send your CV and application letter to Jean-Pierre Chanod Xerox Research Centre Europe 6. chemin Maupertuis 38240 Meylan France