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Unsupervised Opinion Summarization Using Approximate Geodesics. (arXiv:2209.07496v1 [cs.CL])
Sept. 16, 2022, 1:16 a.m. | Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
cs.CL updates on arXiv.org arxiv.org
Opinion summarization is the task of creating summaries capturing popular
opinions from user reviews. In this paper, we introduce Geodesic Summarizer
(GeoSumm), a novel system to perform unsupervised extractive opinion
summarization. GeoSumm involves an encoder-decoder based representation
learning model, that generates representations of text as a distribution over
latent semantic units. GeoSumm generates these representations by performing
dictionary learning over pre-trained text representations at multiple decoder
layers. We then use these representations to quantify the relevance of review
sentences using …
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