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Co Reference Resolution : Resolution

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Armaan Bhatia
Corina Girju
May 6, 2016
LING 406 Report
Co-reference Resolution Detector
Introduction
Co-reference Resolution is the task of finding and identifying all expressions and references to the same entity in a discourse setting.
Co-referencing occurs when two or more expressions in a text refer to the same subject/object in the discourse context. It is important for us as linguists to be able to differentiate these references, and be able to successfully identify the varying pronouns/expressions pointing to the original referent in order to better parse and understand the text being analyzed. It is an important tool which helps us to better derive the correct interpretation of the text, or even with estimating of the relative importance of these mentioned subjects.
The problem at hand is backward pronoun anaphora resolution. It is important in terms of machine learning systems which may be used to successfully tag sentences, and find the various references throughout the text.

Previous Work & Examples
Using Co-Reference Resolution in Outbreak reporting and detection:
In 2010, an experimental analysis in the same field was used by the University of Utah, trained on publicly available documents (with data unrelated to health care) and then tested on outbreak reports. It was able to successfully train on an unrelated data-set and then resolve the appropriate references in public-health related documents.
They utilized and trained the CR detecter on the MUC corpora

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