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
How do I prepare the training data if I have many multi word token in domain like chemistry. For example:
1. Original Sentences: "This is a multi word chemical component 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide. \n This is another sentence."
Here "3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide" is a single token. There are multiple words inside the token which are white space separated. This would lead to the above token to be split as 3 tokens: ['3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl','tetrazolium', 'bromide'].
How can I avoid this? Can I give the input training data in the following format to avoid this?
Training data(1) : List of tokens for each sentences. So the training text file will have list of list tokens.
Training data(2): Here I have concatenated the multi keyword token by '|' symbol.
"This is a multi word chemical component 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl|tetrazolium|bromide. \n This is another sentence." Then I tweak the ELMO code to handle the | symbol and retain them as a single token.
Please guide on the best way to prepare the training data.
The text was updated successfully, but these errors were encountered:
How do I prepare the training data if I have many multi word token in domain like chemistry. For example:
1. Original Sentences: "This is a multi word chemical component 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide. \n This is another sentence."
Here "3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide" is a single token. There are multiple words inside the token which are white space separated. This would lead to the above token to be split as 3 tokens: ['3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl','tetrazolium', 'bromide'].
How can I avoid this? Can I give the input training data in the following format to avoid this?
Training data(1) : List of tokens for each sentences. So the training text file will have list of list tokens.
[['This', 'is', 'a', 'multi', 'word', 'chemical', 'component', '3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide'], ['This', 'is', 'another', 'sentence.']]
Training data(2): Here I have concatenated the multi keyword token by '|' symbol.
"This is a multi word chemical component 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl|tetrazolium|bromide. \n This is another sentence." Then I tweak the ELMO code to handle the | symbol and retain them as a single token.
Please guide on the best way to prepare the training data.
The text was updated successfully, but these errors were encountered: