Papers by Raj Neervannan

1 papers
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization (2021.tacl-1)

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Challenge: Existing aspects-based summarization models are domain-specific due to large differences in the type of aspects for different domains.
Approach: They propose a large-scale dataset for multi-domain aspect-based summarization using Wikipedia articles from 20 different domains.
Outcome: The proposed model is based on Wikipedia articles from 20 different domains and uses the section titles and boundaries of each article as a proxy for aspect annotation.

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