deep-coref
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String matching features?
I'm reading Clark and Manning (2016) and the list of features include "String Matching Features: Head match, exact string match, and partial string match."
I look at datasets.py but can't pinpoint where those features are implemented.
Could anybody help me?
Clark, K., & Manning, C. D. (2016). Improving Coreference Resolution by Learning Entity-Level Distributed Representations. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 643–653. http://doi.org/10.18653/v1/P16-1061
The feature extraction is implemented in java as part of CoreNLP. You can see the feature extraction code here.
I'm curious about how these features actually work. Looking at the cort analysis of CoNLL-2012 data, many mentions of the same name are not linked. For some reason, most of them are left singletons.
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hello kevin i just want to understand deep coference . could you help me to understand