Can Amazon Comprehend (Medical) be used for autocompletion of words or phrases? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhich Amazon EC2 instance for Deep Learning tasks?what machine/deep learning/ nlp techniques are used to classify a given words as name, mobile number, address, email, state, county, city etcCan LSTM have a confidence score for each word predicted?Can CBOW model only accept fixed number of words?How can i find trend time for my articles?Is there any text similarity databse available for phrases?
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Can Amazon Comprehend (Medical) be used for autocompletion of words or phrases?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhich Amazon EC2 instance for Deep Learning tasks?what machine/deep learning/ nlp techniques are used to classify a given words as name, mobile number, address, email, state, county, city etcCan LSTM have a confidence score for each word predicted?Can CBOW model only accept fixed number of words?How can i find trend time for my articles?Is there any text similarity databse available for phrases?
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"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" source here. As such I believe one could use it to develop an autocorrect service, that suggests for example that one meant to write "advil" when one accidentally writes "abvil".
My question is: can one similarly use Comprehend (Medical) for auto-completion of words or phrases?
For example, can one use it to suggest the word "advil" when one's only typed in "adv"? I put the word "Medical" in parentheses because presumably the same question applies generally to Amazon Comprehend as to Amazon Comprehend Medical.
prediction natural-language-process amazon-ml
$endgroup$
add a comment |
$begingroup$
"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" source here. As such I believe one could use it to develop an autocorrect service, that suggests for example that one meant to write "advil" when one accidentally writes "abvil".
My question is: can one similarly use Comprehend (Medical) for auto-completion of words or phrases?
For example, can one use it to suggest the word "advil" when one's only typed in "adv"? I put the word "Medical" in parentheses because presumably the same question applies generally to Amazon Comprehend as to Amazon Comprehend Medical.
prediction natural-language-process amazon-ml
$endgroup$
add a comment |
$begingroup$
"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" source here. As such I believe one could use it to develop an autocorrect service, that suggests for example that one meant to write "advil" when one accidentally writes "abvil".
My question is: can one similarly use Comprehend (Medical) for auto-completion of words or phrases?
For example, can one use it to suggest the word "advil" when one's only typed in "adv"? I put the word "Medical" in parentheses because presumably the same question applies generally to Amazon Comprehend as to Amazon Comprehend Medical.
prediction natural-language-process amazon-ml
$endgroup$
"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" source here. As such I believe one could use it to develop an autocorrect service, that suggests for example that one meant to write "advil" when one accidentally writes "abvil".
My question is: can one similarly use Comprehend (Medical) for auto-completion of words or phrases?
For example, can one use it to suggest the word "advil" when one's only typed in "adv"? I put the word "Medical" in parentheses because presumably the same question applies generally to Amazon Comprehend as to Amazon Comprehend Medical.
prediction natural-language-process amazon-ml
prediction natural-language-process amazon-ml
edited 3 hours ago
Stephen Rauch♦
1,52551330
1,52551330
asked Feb 11 at 20:02
DanielDaniel
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