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

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https://doi.org/10.1057/9781403980564ognition. In this chapter, we will present the properties that are most important for the integration of coreference systems into a larger context, then describe the BART system, the dCoref system that is part of Stanford’s CoreNLP suite, as well as IMSCoref and HOTCoref as examples of state-of-the-

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Participant-Observation as a Research Method in the mid-1990s and further developed into a more generic resolver by Soon et al. in 2001 and many others, the simple model still remains a popular benchmark in the learning-based resolution research. The mention-pair model recasts the coreference resolution problem as a classification task in whi

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Monika Jäckle,Sandra Eck,Kyra Schneider modeling perspective: its focus on making local coreference decisions involving only two mentions and their contexts makes it even less expressive than the coreference systems developed in the pre-statistical NLP era. Realizing its weaknesses, researchers have developed many advanced coreference mo

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