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Coreference resolution is the process of determining whether two expressions refer to the same entity. We adopt machine learning approach to coreference resolution. Feature selection of entity is the key of coreference resolution. This paper presents analysis methods for features which are used commonly in coreference resolution, proposes two features, entity density and antecedent characteristics...
The contribution of this paper is to test different models that correctly interpret descriptions of shapes provided by web-users and are able to select which object is being described by them in a language game, a game in which one user describes a selected object of those composing the scene (see figure 1), while another user has to guess which object has been described (see figure 2). The given...
The contribution of this paper is to provide a semantic model (using soft constraints) of the words used by web-users to describe objects in a language game; a game in which one user describes a selected object of those composing the scene (see figure 1), and another user has to guess which object has been described. The given description needs to be non ambiguous and accurate enough to allow other...
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