My goal is to benchmark different text similarities approaches for detecting short sentences duplicates. I have applied different methods, simple edit distances and also semantic text similarities techniques. I have prepared a golden dataset that consists of 500 text pairs that I consider duplicates. When I apply different text similarities I get scores between 0 and 1 for each pair. I am confused about what metrics to use to compare the performance of these techniques and what threshold score to use for classifying as duplicate and as not duplicate.
Thanks in advance!
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