May 26, 2023 · In this paper, we propose an Aspect-adaptive Knowledge-based Opinion Summarization model for product reviews, which effectively captures the adaptive nature ...
Sep 8, 2024 · AaKOS significantly enhances output precision, particularly for given aspects. When an aspect is determined, related content is extracted ...
The results of aspect-adaptive summarization experiment on SPACE dataset. AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization. Preprint. Full-text ...
A novel model is proposed, named as Knowledge-aware Abstractive Text Summarization, which leverages the advantages offered by Knowledge Graph to enhance the ...
In this paper, we investigate some state of the art aspect-based opinion summarization methods, which produce both extractive and abstractive summaries, as well ...
Text Summarization is a natural language processing (NLP) task that involves condensing a lengthy text document into a shorter, more compact version while ...
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization · Guan-Hua Wang ... The results demonstrate that the proposed Aspect-adaptive Knowledge-based Opinion ...
Nov 7, 2022 · We an approach propose to generate summaries with different levels of detail as post-hoc explanations. We used an aspect-based extractive summarization ...
Missing: AaKOS: adaptive
Jun 17, 2024 · These datasets utilize existing summarization datasets to generate aspect-based summaries by merging multiple sam- ples (D-CnnDM) or segmenting ...
The most common approach is to sample a review from a set of reviews for a product as its pseudo summary, and the remaining reviews as input documents. Although ...
Missing: AaKOS: | Show results with:AaKOS: