Multi review summarization
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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
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$begingroup$
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
New contributor
$endgroup$
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
New contributor
$endgroup$
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
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New contributor
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asked 13 hours ago
Bastien DéchampsBastien Déchamps
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