You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Why these SBET models are able to find the sentences "what's the cost" and " how much it is" are similar but not " I have high fever" and "I don't have fever"(getting high similarity score) are not similar. why these models did not catch meaning for the second example. after all, are they considering the number of matching words.?
This is the same case with other models also(USE). But I just wondering, is there any technical reasoning to explain this?.
The text was updated successfully, but these errors were encountered:
Why these SBET models are able to find the sentences "what's the cost" and " how much it is" are similar but not " I have high fever" and "I don't have fever"(getting high similarity score) are not similar. why these models did not catch meaning for the second example. after all, are they considering the number of matching words.?
This is the same case with other models also(USE). But I just wondering, is there any technical reasoning to explain this?.
The text was updated successfully, but these errors were encountered: