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Named Entity Disambiguation for little known referents: a topic-based approach
We propose an approach to Named Entity Disambiguation that avoids a problem of standard work on the task (likewise affecting fully supervised, weakly supervised, or distantly supervised machine learning techniques): the treatment of name mentions referring to people with no (or very little) coverage in the textual training data is systematically incorrect.
Exploring the utility of coreference chains for improved identification of personal names
In our experiments on real data we obtain comparable results.
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