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Titlebook: Anaphora Resolution; Algorithms, Resource Massimo Poesio,Roland Stuckardt,Yannick Versley Book 2016 Springer-Verlag Berlin Heidelberg 2016

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楼主: coerce
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Using Lexical and Encyclopedic Knowledgehowever, the question of semantic constraints and preferences and its operationalization in a system that performs anaphora resolution, is more complex and a larger variety of solutions can be found in practice.
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https://doi.org/10.1007/978-3-030-46870-5corpora are presented in a uniform and well-structured way. Moreover, three useful, widely used and freely available annotation tools (CALLISTO, MMAX2, and Palinka) will be described. They can be employed if own annotation work turns out to be indispensable.
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The Mention-Pair Model by clustering these pairwise decisions. This chapter reviews the main building blocks of the mention-pair model: the construction of positive and negative instances and the related problem of data set skewness, the selection of informative features, and the choice of machine learner and clustering mechanism.
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Linguistic and Cognitive Evidence About Anaphoraaints and preferences) will be identified that are deemed relevant for interpreting anaphoric expressions, and it will be looked at evidence from corpora and psycholinguistics in favor of these factors. This includes a description of the main models of local focus, distinguishing between discrete and activation-based approaches.
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