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A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels Vinodkumar Prabhakar, Owen Rambo Department of Computer Science, Stanford University, California, CA 94305, USA. Center
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Stanford's multi-pass sieve coreference is a natural language processing tool used for resolving coreference in text.
Researchers and developers in the field of natural language processing may use Stanford's multi-pass sieve coreference tool.
To use Stanford's multi-pass sieve coreference, one must input text data and follow the tool's guidelines for resolving coreference.
The purpose of Stanford's multi-pass sieve coreference is to improve the accuracy of coreference resolution in text analysis and natural language processing tasks.
Stanford's multi-pass sieve coreference requires input text data that contains references to entities that need to be resolved for coreference.
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