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zif.uni-kiel.de>Perceiving and Performing Gender 4th Symposium on Gender Research at Kiel University, Germany November 12-14, 1998 The conference focuses on the central question: How do social perceptions alongside the behaviour of individuals contribute to the construction of gender? - How do we interpret and assess women and men? - Which properties and modes of behaviour do we ascribe to each gender? - Are gender differences the result of a gendered behaviour, or do they base themselves on gender-stereotyped expectations? This symposium opens the possibility of discussing these and other questions in a cross-disciplinary and international perspective. Keynote speakers Prof. Dr. Jutta Allmendinger Institut fur Soziologie Ludwig-Maximilian-Universitat Munchen Prof. Dr. Mahzarin R. Banaji Department of Psychology Yale University Prof. Dr. J. Richard Hackman Department of Psychology Harvard University Prof. Dr. Thomas Laqueur Department of History University of California, Berkeley Prof. Dr. Donald G. MacKay Department of Psychology University of California, Los Angeles Prof. Dr. Anthony Mulac Department of Communication University of California, Santa Barbara Prof. Dr. Rosanne Stone Advanced Communication Technologies Laboratory Department of Radio-TV-Film The University of Texas Call for papers In addition to the presentations by the keynote speakers, we are accepting papers on further topics. Interested researchers should send us a brief abstract of their proposed presentation. This abstract should be written in either English or German and be no longer than one typewritten page. Of those papers accepted to the symposium, several will be chosen for publication in a collection of highlights from the conference. Language The symposium will be conducted in both English and German. Presentations and comments can be formulated and contributed in either language. Deadlines Proposal abstracts must be received by ZiF no later than 30 April 1998. Registration deadline for the symposium is 1 October 1998. Fees Registration costs DM 120. This price is reduced to DM 30 for students and umemployed academics. For registration and further information please contact: Susanne Oelkers, M.A. ZiF Centre for Interdisciplinary Research on Women and Gender Christian Albrecht University Tel.: (German code) (0) 431 57949 51 Olshausenstr. 40 FAX: (German code) (0) 57949 50 D-24098 Kiel email: <oelkersMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue
info.utovrm.it>TANLPS Workshop : Final Call for Papers held at the European Conference on Machine Learning (ECML'98), Chemnitz, Germany 21-24 April 1998 (WWW address:http://www.tu-chemnitz.de/informatik/ecml98/). TANLPS Towards adaptive NLP-driven systems: linguistic information, learning methods and applications 24 April 1998 Organized by : R. Basili, M. T. Pazienza (University of Roma, Tor Vergata, ITALY) Since most of its applications, from syntactic to semantic, are lexicon driven, systematic and reliable acquisition on a large scale of linguistic information is the real challenge to Natural Language Processing (NLP). Empiricist view on Natural Language Processing and Learning has become recently more attractive for a wider research community: computational linguistics, artificial intelligence, psychology then seemed to converge on a specific data-oriented perspective aiming to overcome the traditional knowledge acquisition bottleneck. It has been often noted that the limited attention paid by the machine learning community to text and speech data seems unjustified. It is thus more and more evident that empirical learning of Natural Language Processing (NLP) can alleviate the NLP main problem by means of a variety of methods for the automatic induction of lexical knowledge. Lexical knowledge is often hard to compile by hand, and even harder to port and reuse. NLP application systems still have a low impact on real world problems, mainly due to the costs related to reusability and customization of the required lexicons. In particular, changes in the domain causes changes in the lexical information required in the underlying natural language. Empirical, symbolic machine learning methods can be perfectly suited for this task like automatic acquisition and adaptation of this knowledge. Rule induction, symbolic approaches to clustering, lazy learning, and inductive logic programming, have been already proposed by a growing community that is entering the challenge for theoretical (i.e. methodological) and application purposes A variety of techniques seems to be combined in order to successfully design realistic inductive systems for text processing: the target of this research is to define methods and design principles for systems combining linguistic and lexical learning capabilities for large scale language processing tasks. This is what we mean with adaptive NLP-driven systems. Within this research task, some issues can favour a synergistic process between NLP and ML areas: the access to large data sets, that are even increasing over time, due to the telematics facilities available nowadays; extending the set of typical classes of ML problems to other hard cases (particularly dense in the NLP processes); adding inductive capabilities to NLP system for tasks related to specific applications (i.e. Information Extraction). The proposed Workshop thus aims at stimulating reasearch and discussion on the following aspects : - Establishing results and evidencies on the suitability of different ML paradigms on specific levels of representation of lexical knowledge (morphology, syntax, linguistic inference among others) - Comparison of the quantitative approaches to lexical acquisition with empirical symbolic methods - Stimulating discussion on cognitive perspective of some models within a plausible architecture for Language Processing and Learning - Establishing results on the applicability of the extracted/induce knowledge within NLP systems, with respect to assessed evaluation criteria, typical of the ML and Language Engineering (LE) area - Case studies on adaptive NLP systems, i.e. effective NLP systems integrating linguistic inferences with inductive capabilities (WWW KB at CMU, ECRAN, ...), - Critical review of existing experiences on adaptive NLP systems - Establishing guidelines for an evaluation framework of adaptive NLP systems : accuracy of the linguistic process, robustness of the induction process, ... - Promote cooperation among research groups in Europe and USA to exchange ideas, data and tools for design and experiment architectures for adaptive NLP systems Related Events A parallel workshop will be also held in the ECML conference: "Text Mining" organized by Yves Kodratoff. Although close in intent and topics, the two workshops have a specific "identity" in terms of area of research, multidisciplinary aspects and contributions. So, in order to enhance the discussion and the synergistic contributions to the two independent approaches, submissions covering common problems (i.e. adaptive data mining from textual data) will undergo a specific review, in cooperation with the other workshop PC. In fact, a joint (half day) session on specific borderline topics as well as on existing (hybrid) systems has been planned and a subset of the accepted papers will be presented there. A particular effort will be asked to authors for stressing/enhancing synergistic aspects. The Program Committee will suggest guidelines to compare/generalize/extend individual contributions in this specific perspective. WorkShop format : The Workshop is expected to cover the whole day. In the first session, apart from an invited talk, we expect to cover methodological issues. Papers related to advanced research on suitability of learning paradigms for the different target lexical information will be favoured. Prototypical examples in this area are studies on empirical learning of tasks like POS tagging, induction of grammatical information, symbolic learning of word sense disambiguation criteria and lexical semantic information. A panel discussion is expected to close the morning session and focus on principles of suitability for learning paradigms vs. lexical levels. In the second session we expect to stimulate participants to cover application areas, like IR and IE, on original research works that are currently under development in several research centres in Europe (Sheffield, Tilburg, Rome Tor Vergata and Torino Universities). A Panel discussion on the implication of the adaptive paradigm on existing and potential NLP systems will close the Workshop. Program Committee R. Basili (University of Roma, Tor Vergata, ITALY) M. Craven (Carnegie Mellon University, USA) W. Daelemans (University of Tilburg, NEDERLANDS) M.T. Pazienza (University of Roma, Tor Vergata, ITALY) L. Saitta (University of Torino, ITALY) C. Samuelssonn (Bell Labs, AT&T, USA) Y. Wilks (University of Sheffield, UK) Paper Submission: ============ Papers should not exceed 3000 words or 6 pages. Hard Copy Submission: Three copies of the paper should be sent to: Roberto Basili Department of Computer Science, Systems and Production University of Roma, Tor Vergata Via di Tor Vergata 00133 Roma (ITALY) e-mail: basiliMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue