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Fine-Grained Entity Recognizer

This distribution contains the source code for the experiments presented in the following research publication:

Xiao Ling and Daniel S. Weld (2012). "Fine-Grained Entity Recognition", in Proceedings OF THE TWENTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2012.

Testing

One can test the trained model on the evaluation data or new data as they wish.

Download Model and save it at the root directory.

Replicate the experiments

To run the experiments in the AAAI-12 paper, you can proceed as follows:

$ ./run.sh "aaai/exp.conf" &> aaai/exp.log

On new data

To make predictions on new test data, change the fields testFile and outputFile in the file config/figer.conf to your desired files. Note that testFile MUST take a file with .txt extension. Then run:

$ ./run.sh "config/figer.conf" &> figer.log

Training Data

The training data train.tar.gz is serialized in Protocol Buffer. Please see entity.proto in the code package for the definitions.

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