Pierre Lison

Support for relation extraction

4

Right now, `skweak` supports two main types of NLP tasks: (token-level) sequence labelling and text classification. Both rests on the idea that labelling functions associate labels to *text spans*, and...

Error using pickle

11

I found another bug, related this time to pickling pytricia objects: ```python import pytricia pyt = pytricia.PyTricia() pyt["192.168.0.1"] = "foo" pickle.dump(pyt, open("test.pkl", "wb")) pyt2 = pickle.load(open("test.pkl", "rb")) pyt2.keys() ``` gives...

Error with some IPv6 addresses

4

I'm experiencing a strange bug with IpV6 addresses: ```python pyt = pytricia.PyTricia() pyt["2a03:2880:2130:cf05:face:b00c:0:1"] = "foo" pyt["2a03:2880:f01c:2:face:b00c:0:1"] = "bar" print(pyt.keys()) ``` Gives the following (correct) answer: `['2a03:2880:f01c:2:face:b00c:0:1/128', '2a03:2880:2130:cf05:face:b00c:0:1/128']`. But I get...

Parameter learning behaviour on BN example

2

I've noticed a strange result when doing parameter learning, where I get a different result depending on whether the parameter to tune is (a) directly associated with the rule or...

Strange scoring method in LFI

1

In the parameter learning code (https://github.com/ML-KULeuven/problog/blob/master/problog/learning/lfi.py), I noticed something strange in the method `_update` employed to update the weights. In the first part of the method (lines 849 - 872),...