Multi review summarization2019 Community Moderator ElectionMulti-GPU, multi-machine computation with TorchExtract sentences from beginning of news in single document summarizationExtractive text summarization, as a classification problem using deep networksMulti-task learning for Multi-label classification?What other approaches are there for abstractive summarization, other then seq2seq?Training data for multi-category classification algorithmLSTM sentiment classification code reviewLSTM Multi-state forecastMulti Class Text Classification?review: gradient descent, epochs, validation in neural network training
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Multi review summarization
2019 Community Moderator ElectionMulti-GPU, multi-machine computation with TorchExtract sentences from beginning of news in single document summarizationExtractive text summarization, as a classification problem using deep networksMulti-task learning for Multi-label classification?What other approaches are there for abstractive summarization, other then seq2seq?Training data for multi-category classification algorithmLSTM sentiment classification code reviewLSTM Multi-state forecastMulti Class Text Classification?review: gradient descent, epochs, validation in neural network training
$begingroup$
I'm working on a project in which I want to summarize hotel reviews into a abstract summary. I've seen that RNN are the state of the art among all the abtractive summarization methods (Seq2Seq, etc). However, it performs really well on single document summarization, but to my knowledge not when the input is hundreds of reviews. I've read some papers about hierarchical Seq2seq for multi document summarization but it's only about news summarization.
So I was wondering wether you know some techniques adapted to reviews, and / or a sufficiently large dataset [multiple reviews --> summary] to train a hierarchical Seq2Seq.
Thank you !
deep-learning nlp automatic-summarization
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
I'm working on a project in which I want to summarize hotel reviews into a abstract summary. I've seen that RNN are the state of the art among all the abtractive summarization methods (Seq2Seq, etc). However, it performs really well on single document summarization, but to my knowledge not when the input is hundreds of reviews. I've read some papers about hierarchical Seq2seq for multi document summarization but it's only about news summarization.
So I was wondering wether you know some techniques adapted to reviews, and / or a sufficiently large dataset [multiple reviews --> summary] to train a hierarchical Seq2Seq.
Thank you !
deep-learning nlp automatic-summarization
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'm working on a project in which I want to summarize hotel reviews into a abstract summary. I've seen that RNN are the state of the art among all the abtractive summarization methods (Seq2Seq, etc). However, it performs really well on single document summarization, but to my knowledge not when the input is hundreds of reviews. I've read some papers about hierarchical Seq2seq for multi document summarization but it's only about news summarization.
So I was wondering wether you know some techniques adapted to reviews, and / or a sufficiently large dataset [multiple reviews --> summary] to train a hierarchical Seq2Seq.
Thank you !
deep-learning nlp automatic-summarization
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm working on a project in which I want to summarize hotel reviews into a abstract summary. I've seen that RNN are the state of the art among all the abtractive summarization methods (Seq2Seq, etc). However, it performs really well on single document summarization, but to my knowledge not when the input is hundreds of reviews. I've read some papers about hierarchical Seq2seq for multi document summarization but it's only about news summarization.
So I was wondering wether you know some techniques adapted to reviews, and / or a sufficiently large dataset [multiple reviews --> summary] to train a hierarchical Seq2Seq.
Thank you !
deep-learning nlp automatic-summarization
deep-learning nlp automatic-summarization
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
asked Mar 21 at 9:57
Bastien DéchampsBastien Déchamps
1
1
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Bastien Déchamps is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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