Return 3 instead of -1 if there is no temporal relation between events
Don't throw away relations which are none of the three we are interested in
Using main.py instead of train.py as the file where all things come together
Simplified the tense feature
Importing shuffle
Changed aspect feature
Checking features
Added test cases from output of overview.py
Some more test cases from overview.py
Better output
Introducing a new attribute to identify the exact position of an event in a sentence to the event class.
Improved tense guessing. The POS tagger still sucks and needs to be improved somehow
Removing old stuff
Improved distance feature and extraction
Improved aspect feature
Move get_f1_score() to train.py
load_data() can return the dataset for just one class now
Tidied up
Using enum instead of strings to identify temporal relations
Learning rate for single classes