Automating scoring of answers for a given question
$begingroup$
There is a topic 'X' on which students are asked to write an English passage. Given a question, I have multiple solutions with their scorings out of 10.
For a given answer by a new candidate, one needs to read the passage and score the answer. The main focus of scoring is vocablury and not grammer.
How can I automate this process? What should be the steps?
Should I like train a simple model with answers as input and their scores as output. Then for a random answer I can check what is the score given my the model trained. But I feel like this will be very basic and it's accuracy will be very less.
I am new to machine learning. Any reading material on this..etc anything would be great help. Thanks.
machine-learning nlp nltk
New contributor
$endgroup$
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$begingroup$
There is a topic 'X' on which students are asked to write an English passage. Given a question, I have multiple solutions with their scorings out of 10.
For a given answer by a new candidate, one needs to read the passage and score the answer. The main focus of scoring is vocablury and not grammer.
How can I automate this process? What should be the steps?
Should I like train a simple model with answers as input and their scores as output. Then for a random answer I can check what is the score given my the model trained. But I feel like this will be very basic and it's accuracy will be very less.
I am new to machine learning. Any reading material on this..etc anything would be great help. Thanks.
machine-learning nlp nltk
New contributor
$endgroup$
add a comment |
$begingroup$
There is a topic 'X' on which students are asked to write an English passage. Given a question, I have multiple solutions with their scorings out of 10.
For a given answer by a new candidate, one needs to read the passage and score the answer. The main focus of scoring is vocablury and not grammer.
How can I automate this process? What should be the steps?
Should I like train a simple model with answers as input and their scores as output. Then for a random answer I can check what is the score given my the model trained. But I feel like this will be very basic and it's accuracy will be very less.
I am new to machine learning. Any reading material on this..etc anything would be great help. Thanks.
machine-learning nlp nltk
New contributor
$endgroup$
There is a topic 'X' on which students are asked to write an English passage. Given a question, I have multiple solutions with their scorings out of 10.
For a given answer by a new candidate, one needs to read the passage and score the answer. The main focus of scoring is vocablury and not grammer.
How can I automate this process? What should be the steps?
Should I like train a simple model with answers as input and their scores as output. Then for a random answer I can check what is the score given my the model trained. But I feel like this will be very basic and it's accuracy will be very less.
I am new to machine learning. Any reading material on this..etc anything would be great help. Thanks.
machine-learning nlp nltk
machine-learning nlp nltk
New contributor
New contributor
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asked 8 mins ago
ShrayShray
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Shray is a new contributor. Be nice, and check out our Code of Conduct.
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