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Found 5 papers, 2 papers with code
Distilling Salient Reviews with Zero Labels
To alleviate this scarcity problem, we develop an unsupervised method, ZL-Distiller, which leverages contextual language representations of the reviews and their distributional patterns to identify salient sentences about entities.
Source Identification in Abstractive Summarization
Neural abstractive summarization models make summaries in an end-to-end manner, and little is known about how the source information is actually converted into summaries.
Summarizing Community-based Question-Answer Pairs
To help users quickly digest the key information, we propose the novel CQA summarization task that aims to create a concise summary from CQA pairs.
Noisy Pairing and Partial Supervision for Opinion Summarization
Current opinion summarization systems simply generate summaries reflecting important opinions from customer reviews, but the generated summaries may not attract the reader's attention.
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
In this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners.
