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hct's Issues

BLEU evaluation code is wrong

hi, thank you for sharing this source code. I found one bug in lines 25-28 in the score.py file (

hct/score.py

Line 25 in a092d5f

bleu1s = corpus_bleu([[r] for r in references], candidates, weights=(1.0, 0.0, 0.0, 0.0))
). Here to calculate the corpus_bleu score, reference and hypothesis sentences need to be as lists instead of strings. Please refer to the NLTK document for more details: https://www.nltk.org/_modules/nltk/translate/bleu_score.html. After this code correction, I have obtained new BLEU scores for the CANARD and MuDoCo datasets like the following:

CANARD: Avg. BLEU(n): 0.690 (1) 0.623 (2) 0.570 (3) 0.516 (4)
MuDoCo: Avg. BLEU(n): 0.928 (1) 0.901 (2) 0.874 (3) 0.845 (4)

Could you help check this code bug and make the corresponding correction in both this source code and paper? Thank you so much!

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