EventExtraction

Developed by Brandon Cooper, Joey Wilson, and Tobias Bleisch

Corpus

For information about the corpus and web scraper, refer to the README in the corpus subdirectory.

Requirements Installation

Run the following: pip install -r requirements.txt

Stanford CoreNLP Installation

In order to run the Baseline.py using Stanford CoreNLP, you have to add the following environmental variables:

CLASSPATH="<PATH_TO_PROJECT>/EventExtraction/libs/stanford-ner-2015-12-09"

STANFORD_MODELS="<PATH_TO_PROJECT>/EventExtraction/libs/stanford-ner-2015-12-09/classifiers/"

SpaCy Installation

Assuming you have used pip to install the requirements, run the following: python3 -m spacy.en.download all

For more information, see https://spacy.io/docs/usage/

Running the baseline CFP extractor

Navigate to the extraction subdirectory and run the following: python3 evaluation.py

NOTE: This will print a lot of results. At the bottom will be the accuracy results.

Running the Date Classifier

Navigate to the extraction subdirectory and run testDateClassifier.sh as follows:

./testDateClassifier.sh <TRIAL_COUNT>

For example, "./testDateClassifier.sh 5" runs the date classifier for 5 trials using the Naive Bayes classifier, then another 5 trials with the maximum entropy classifier for classifying dates. The script will create an out.txt with the dateClassifier's output, and print

Running the Location Classifier

To run the location system refer to the README in the location folder.