Current Challenges and Research
Despite the high F1 numbers reported on the MUC-7 dataset, the problem of Named Entity Recognition is far from being solved. The main efforts are directed to reducing the annotation labor, robust performance across domains and scaling up to fine-grained entity types.
A recently emerging task of identifying "important expressions" in text and cross-linking them to Wikipedia can be seen as an instance of extremely fine-grained named entity recognition, where the types are the actual Wikipedia pages describing the (potentially ambiguous) concepts. Below is an example output of a Wikification system:
http://en.wikipedia.org/wiki/Michael_I._Jordan Michael Jordan is a professor athttp://en.wikipedia.org/wiki/University_of_California,_Berkeley Berkeley
Read more about this topic: Named-entity Recognition
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