Our focus in this paper is to extend the framework of image collection summarization to fit the context of overviewing image search results on mobile devices.
Nov 17, 2022 · 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.
Missing: Rectification. | Show results with:Rectification.
Semantic Scholar extracted view of "Summarizing Community-Based Question-Answer Pairs with Focus Rectification" by Mingyang Mei et al.
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Addressing information overload in Community-based Question Answering (CQA) platforms, a study introduced a CQA summarization task.
We proposed a new CQA Summarization task focused on summarizing QA pairs in Community-based Question Answering.
Missing: Rectification. | Show results with:Rectification.
SUMMARIZING COMMUNITY-BASED QUESTION-ANSWER PAIRS WITH FOCUS RECTIFICATION · 1: How Can Personalized Context Help? · 2: M3TQA: MULTI-VIEW, MULTI-HOP AND MULTI- ...
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.
Missing: Focus Rectification.
We create CQASUMM, the first annotated CQA summarization dataset by filtering the 4.4 million Yahoo! Answers L6 dataset.
Summarizing Community-Based Question-Answer Pairs with Focus Rectification. M Mei, Y Hu, Y Deng, X Zhang, Y Li, H You. ICASSP 2024-2024 IEEE International ...