Dan Cristea

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In this paper, we propose a generalization of Centering Theory (CT) (Grosz, Joshi, Weinstein (1995)) called Veins Theory (VT), which extends the applicability of centering rules from local to global discourse. A key facet of the theory involves the identification of <<veins>> over discourse structure trees such as those defined in RST, which delimit domains(More)
BalkaNet aims at building a multilingual lexical database consisting of WordNets in several Central and Eastern European languages. Even though it will be built in a similar way with EuroWordNet, new features will be implemented ranging from structuring the Inter-Lingual-Index to ensure linking of conceptual equivalencies across WordNets to the development(More)
This paper investigates the problem of automatically annotating resources with NP coreference information using a parallel corpus, English-Romanian, in order to transfer, through word alignment, coreference chains from the English part to the Romanian part of the corpus. The results show that we can detect Romanian referential expressions and coreference(More)
Evaluation campaigns have become an established way to evaluate automatic systems which tackle the same task. This paper presents the first edition of the Anaphora Resolution Exercise (ARE) and the lessons learnt from it. This first edition focused only on English pronominal anaphora and NP coreference, and was organised as an exploratory exercise where(More)
The paper proposes a model for dynamical building of architectures intended to process natural language. The representation that stays at the base of the model is a hierarchy of XML annotation schemas in which the parent-child links are defined by subsumption relations. We show how the hierarchy may be augmented with processing power by marking the edges(More)
In this paper we present a possibility for integrating Anaphora Resolution (AR) in a system to automatically evaluate students' free-text answers. An initial discussion introduces some of the several methods that can be tried out. The implementation makes use of the AR-Engine RARE (Cristea et al. 02), integrated into the free-text answers assessor Atenea(More)