How to predict entity (token) classes with a Keras neural network?
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I try to build a neural network that predicts one of several classes for every token in a document. I have got a dataset that provides a class for evry token. The majority of tokens has got the class 'None.' I tried CNNs and LSTMs. When seeing the problem as a sequence tagging problem with word embeddings, I do not get useful results even though I partly used code that perfectly works for POS-tagging etc. (from tutorials). The best working solution so far is using an LSTM-CNN network that receives all tokens of all documents in an array using character-embeddings without paying respect to sentence-boundaries.
What is the best (or the normal) way to classify tokens in documents? How can I make this work with word-embeddings?
python neural-network keras text-mining multiclass-classification
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I try to build a neural network that predicts one of several classes for every token in a document. I have got a dataset that provides a class for evry token. The majority of tokens has got the class 'None.' I tried CNNs and LSTMs. When seeing the problem as a sequence tagging problem with word embeddings, I do not get useful results even though I partly used code that perfectly works for POS-tagging etc. (from tutorials). The best working solution so far is using an LSTM-CNN network that receives all tokens of all documents in an array using character-embeddings without paying respect to sentence-boundaries.
What is the best (or the normal) way to classify tokens in documents? How can I make this work with word-embeddings?
python neural-network keras text-mining multiclass-classification
asked yesterday
junkmasterjunkmaster
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
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– Mark.F
13 hours ago
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I try to build a neural network that predicts one of several classes for every token in a document. I have got a dataset that provides a class for evry token. The majority of tokens has got the class 'None.' I tried CNNs and LSTMs. When seeing the problem as a sequence tagging problem with word embeddings, I do not get useful results even though I partly used code that perfectly works for POS-tagging etc. (from tutorials). The best working solution so far is using an LSTM-CNN network that receives all tokens of all documents in an array using character-embeddings without paying respect to sentence-boundaries.
What is the best (or the normal) way to classify tokens in documents? How can I make this work with word-embeddings?
python neural-network keras text-mining multiclass-classification
asked yesterday
junkmasterjunkmaster
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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I try to build a neural network that predicts one of several classes for every token in a document. I have got a dataset that provides a class for evry token. The majority of tokens has got the class 'None.' I tried CNNs and LSTMs. When seeing the problem as a sequence tagging problem with word embeddings, I do not get useful results even though I partly used code that perfectly works for POS-tagging etc. (from tutorials). The best working solution so far is using an LSTM-CNN network that receives all tokens of all documents in an array using character-embeddings without paying respect to sentence-boundaries.
What is the best (or the normal) way to classify tokens in documents? How can I make this work with word-embeddings?
python neural-network keras text-mining multiclass-classification
python neural-network keras text-mining multiclass-classification
asked yesterday
junkmasterjunkmaster
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
junkmasterjunkmaster
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
junkmasterjunkmaster
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
junkmasterjunkmaster
1
asked yesterday
junkmasterjunkmaster
1
1
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
junkmaster is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
$endgroup$
– Mark.F
13 hours ago
add a comment |
$begingroup$
What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
$endgroup$
– Mark.F
13 hours ago
$begingroup$
What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
$endgroup$
– Mark.F
13 hours ago
$begingroup$
What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
$endgroup$
– Mark.F
13 hours ago
add a comment |
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What are you trying to do? why do you need to classify each word of the text and what are the optional classes?
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– Mark.F
13 hours ago