Hello professors,

I've tried to make use of the code for the sentence similarity, but receive the following error:

Traceback (most recent call last):
  File "sentence-similarity.py", line 236, in <module>
    print(similarity("hello world I like ice cream", "hello earth I don't like ice cream ", True))
  File "sentence-similarity.py", line 208, in similarity
    return DELTA * semantic_similarity(sentence_1, sentence_2, info_content_norm) +         (1.0 - DELTA) * word_order_similarity(sentence_1, sentence_2)
TypeError: semantic_similarity() takes 1 positional argument but 3 were given

The error I get is that semantic_similarity() only takes row as a parameter. But in the function similarity the 3 arguments are given as parameters to semantic_similarity().

I have therefore tried to change the parameters to the function, and replaced
def semantic_similarity(row):
with
def semantic_similarity(sentence_1, sentence_2, info_content_norm):
and removed the first 2 lines of the function:

def semantic_similarity(sentence_1, sentence_2, info_content_norm):
     # sentence_1  = re.sub('[^A-Za-z0-9\s]', '', row['question1']).lower()
     # sentence_2 = re.sub('[^A-Za-z0-9\s]', '', row['question2']).lower()

When I'm giving the following sentences as parameters to the function:

• A quick brown dog jumps over the lazy fox.
• A quick brown fox jumps over the lazy dog.

the resulting similarity is 1.0. As described in your paper this should not be the case, as the method is not supposed to treat the sentences as bag of words.

I'm not sure if I'm correct in changing the parameters to the function and/or if the first two lines should be commented out.

Thanks in advance.