Issues
- 2
- 1
- 7
- 2
IDF weighting doesn't work
#134 opened - 1
Score less than 0
#133 opened - 1
Wrong default bert score.
#132 opened - 2
lang=en-sci error
#131 opened - 2
local tokenizer and checkpoint
#130 opened - 2
- 1
- 2
- 1
- 4
Running bert score examples
#124 opened - 3
Pairwise score
#123 opened - 1
can bertscore be -ve?
#122 opened - 1
Reproduce COCO captioning results
#121 opened - 1
- 2
Feature request
#119 opened - 0
- 2
Error when I use it on a pair of long text
#117 opened - 2
- 0
Supporting new Languages
#115 opened - 2
- 1
Support for ByT5
#113 opened - 2
- 13
- 2
Script to reporoduce segemet-level WMT17
#110 opened - 5
- 1
turkish bert support
#108 opened - 1
Empty candidate sentence
#107 opened - 6
Slow tokenizer is used by default
#105 opened - 1
- 2
- 4
- 1
- 2
Issues using scibert-scivocab-uncased
#100 opened - 1
Question: tf_idf feature?
#99 opened - 3
Question: how to get the best reference
#98 opened - 2
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 0: ordinal not in range(128)
#97 opened - 3
Is text truncation to 512 tokens handled automatically for both candidate and reference texts?
#96 opened - 3
- 2
'T5Stack' object has no attribute 'layer
#94 opened - 3
mT5
#93 opened - 2
Cache Model if Possible
#92 opened - 3
the running is always terminated
#91 opened - 4
Error when scoring big text
#90 opened - 1
Ways to specify the model download path?
#89 opened - 4
Error while running tune_layers.py
#88 opened - 4
- 1