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s.a. Deutsche Fassung: Rechtshistorisches Journal 15, 1996, 255-290 und in: Eric Schwarz (Hg.) La théorie des systèmes: une approche inter- et transdisciplinaire. Bösch, Sion 1996, 101-119. Italienische Fassung: La Bukowina globale: il pluralismo giuridico nella società mondiale. Sociologic a politiche sociali 2, 1999, 49-80. Portugiesische Fassung: Bukowina global sobre a emergência de um pluralismo jurídico transnacional. Impulso: Direito e Globalização 14, 2003. Georgische Fassung: Globaluri bukovina: samarTlebrivi pluralizmi msoflio sazogadoebaSi. Journal of the Institute of State and Law of the Georgian Academy of Sciences 2005 (im Erscheinen)
s.a. Deutsche Fassung: Archiv für Rechts- und Sozialphilosophie. Beiheft 65, 1996, 199-220. Italienische Fassung: Altera pars audiatur: Il diritto nella collisione dei discorsi. In: Gunther Teubner, Diritto policontesturale: Prospettive giuridiche della pluralizzazione dei mondi sociali. La città del sole, Neapel 1999, 27-70. Französische Fassung: Altera pars audiatur: le droit dans la collision des discours. Droit et Société 35, 1997, 99-123. Portugiesische Fassung: Altera pars audiatur: o direito na colisao de disursos. In: J.A. Lindgren Alves, Gunther Teubner, Joaquim Leonel de Rezende Alvim, Dorothe Susanne Rüdiger, Direito e Cidadania na Pos-Modernidade. Editora Unimep, Piracicaba, Brasilia 2002; 93-129.
Reflexives Recht. Entwicklungsmodelle des Rechts in vergleichender Perspektive (EUI Working Paper 1982/13). Archiv für Rechts- und Sozialphilosophie 68, 1982, 13-59, und in: Werner Maihofer (Hg.), Noi si Mura, Schriftenreihe des Europäischen Hochschulinstituts, Florenz 1986, 290-340. Englische Fassung: Substantive and Reflexive Elements in Modern Law. (EUI Working Paper 1982/14). Law and Society Review 17, 1983, 239-285 und in: Kahei Rokumoto (Hg.) Sociological Theories of Law. Dartmouth, Aldershot 1994, 415-462. Neuabdruck in: Carroll Seron, The Law and Society Canon, Ashgate, Aldershot 2005 (im Erscheinen). Französische Fassung: Eléments 'substantifs' et 'réflexifs' dans le droit moderne. L'Interdit. Revue de Psychanalyse Institutionelle, 1984, 129-132, und Droit et réflexivité: une perspective comparative sur des modèles d'évolution juridique in: Gunther Teubner, Droit et réflexivité. Librairie générale de droit et de jurisprudence, Paris 1994, 3-50. Dänische Fassung: Refleksiv Ret: Udviklingsmodeller i sammenlignende perspektiv. In: Asmund Born, Nils Bredsdorff, Leif Hansen and Finn Hansson (Hg.) Refleksiv Ret. Publication Series of the Institut for Organisation og Arbeidssociologi. Nytfrasamfundsvidenskaberne, Kopenhagen 1988, 21-79.
We introduce a new method for representing and solving a general class of non-preemptive resource-constrained project scheduling problems. The new approach is to represent scheduling problems as de- scriptions (activity terms) in a language called RSV, which allows nested expressions using pll, seq, and xor. The activity-terms of RSV are similar to concepts in a description logic. The language RSV generalizes previous approaches to scheduling with variants insofar as it permits xor's not only of atomic activities but also of arbitrary activity terms. A specific semantics that assigns their set of active schedules to activity terms shows correctness of a calculus normalizing activity terms RSV similar to propositional DNF-computation. Based on RSV, this paper describes a diagram-based algorithm for the RSV-problem which uses a scan-line principle. The scan-line principle is used for determining and resolving the occurring resource conflicts and leads to a nonredundant generation of all active schedules and thus to a computation of the optimal schedule.
In the last years, much effort went into the design of robust anaphor resolution algorithms. Many algorithms are based on antecedent filtering and preference strategies that are manually designed. Along a different line of research, corpus-based approaches have been investigated that employ machine-learning techniques for deriving strategies automatically. Since the knowledge-engineering effort for designing and optimizing the strategies is reduced, the latter approaches are considered particularly attractive. Since, however, the hand-coding of robust antecedent filtering strategies such as syntactic disjoint reference and agreement in person, number, and gender constitutes a once-for-all effort, the question arises whether at all they should be derived automatically. In this paper, it is investigated what might be gained by combining the best of two worlds: designing the universally valid antecedent filtering strategies manually, in a once-for-all fashion, and deriving the (potentially genre-specific) antecedent selection strategies automatically by applying machine-learning techniques. An anaphor resolution system ROSANA-ML, which follows this paradigm, is designed and implemented. Through a series of formal evaluations, it is shown that, while exhibiting additional advantages, ROSANAML reaches a performance level that compares with the performance of its manually designed ancestor ROSANA.
In the last decade, much effort went into the design of robust third-person pronominal anaphor resolution algorithms. Typical approaches are reported to achieve an accuracy of 60-85%. Recent research addresses the question of how to deal with the remaining difficult-toresolve anaphors. Lappin (2004) proposes a sequenced model of anaphor resolution according to which a cascade of processing modules employing knowledge and inferencing techniques of increasing complexity should be applied. The individual modules should only deal with and, hence, recognize the subset of anaphors for which they are competent. It will be shown that the problem of focusing on the competence cases is equivalent to the problem of giving precision precedence over recall. Three systems for high precision robust knowledge-poor anaphor resolution will be designed and compared: a ruleset-based approach, a salience threshold approach, and a machine-learning-based approach. According to corpus-based evaluation, there is no unique best approach. Which approach scores highest depends upon type of pronominal anaphor as well as upon text genre.
Assessing enhanced knowledge discovery systems (eKDSs) constitutes an intricate issue that is understood merely to a certain extent by now. Based upon an analysis of why it is difficult to formally evaluate eKDSs, it is argued for a change of perspective: eKDSs should be understood as intelligent tools for qualitative analysis that support, rather than substitute, the user in the exploration of the data; a qualitative gap will be identified as the main reason why the evaluation of enhanced knowledge discovery systems is difficult. In order to deal with this problem, the construction of a best practice model for eKDSs is advocated. Based on a brief recapitulation of similar work on spoken language dialogue systems, first steps towards achieving this goal are performed, and directions of future research are outlined.
In the last years, much effort went into the design of robust anaphor resolution algorithms. Many algorithms are based on antecedent filtering and preference strategies that are manually designed. Along a different line of research, corpus-based approaches have been investigated that employ machine-learning techniques for deriving strategies automatically. Since the knowledge-engineering effort for designing and optimizing the strategies is reduced, the latter approaches are considered particularly attractive. Since, however, the hand-coding of robust antecedent filtering strategies such as syntactic disjoint reference and agreement in person, number, and gender constitutes a once-for-all effort, the question arises whether at all they should be derived automatically. In this paper, it is investigated what might be gained by combining the best of two worlds: designing the universally valid antecedent filtering strategies manually, in a once-for-all fashion, and deriving the (potentially genre-specific) antecedent selection strategies automatically by applying machine-learning techniques. An anaphor resolution system ROSANA-ML, which follows this paradigm, is designed and implemented. Through a series of formal evaluations, it is shown that, while exhibiting additional advantages, ROSANAML reaches a performance level that compares with the performance of its manually designed ancestor ROSANA.
Syntactic coindexing restrictions are by now known to be of central importance to practical anaphor resolution approaches. Since, in particular due to structural ambiguity, the assumption of the availability of a unique syntactic reading proves to be unrealistic, robust anaphor resolution relies on techniques to overcome this deficiency. In this paper, two approaches are presented which generalize the verification of coindexing constraints to de cient descriptions. At first, a partly heuristic method is described, which has been implemented. Secondly, a provable complete method is specified. It provides the means to exploit the results of anaphor resolution for a further structural disambiguation. By rendering possible a parallel processing model, this method exhibits, in a general sense, a higher degree of robustness. As a practically optimal solution, a combination of the two approaches is suggested.