Query-Focused Opinion Summarization for User-Generated Content
We present a submodular function-based framework for query-focused opinion summarization. Within our framework, relevance ordering produced by a statistical ranker, and information coverage with respect to topic distribution and diverse viewpoints are both encoded as submodular functions. Dispersion functions are utilized to minimize the redundancy. We are the first to evaluate different metrics of text similarity for submodularity-based summarization methods. By experimenting on community QA and blog summarization, we show that our system outperforms state-of-the-art approaches in both automatic evaluation and human evaluation. A human evaluation task is conducted on Amazon Mechanical Turk with scale, and shows that our systems are able to generate summaries of high overall quality and information diversity.
Code (0)
등록된 구현이 없습니다.
Tasks
DiversityOpinion Summarizationtext similaritySimilar Papers 제목 키워드 기반
"This Suits You the Best": Query Focused Comparative Explainable Summarization
Product recommendations inherently involve comparisons, yet traditional opinion summarization often fails to provide holistic comparative insights. We propose the novel task of generating Query-Focused Comparative Explai…
CLIP-It! Language-Guided Video Summarization
A generic video summary is an abridged version of a video that conveys the whole story and features the most important scenes. Yet the importance of scenes in a video is often subjective, and users should have the option…
Query-focused SummarizationQuery focused video summarizationSupervised Video SummarizationVideo SummarizationQuery-Focused Extractive Video Summarization
Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a probabilistic model, Sequential and Hierar…
Query focused video summarizationVideo SummarizationGenerating Query-Focused Summarization Datasets from Query-Free Summarization Datasets
Large-scale datasets are widely used to perform summarization tasks, but they may not include queries alongside documents and summaries. In the search for suitable datasets for Query-Focused Summarization (QFS), we ident…
Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts
Query-focused summarization (QFS) is the task of generating a summary in response to a user-written query. Despite its user-oriented nature, there has been limited work in QFS in explicitly considering a user's understan…
Query-focused SummarizationText Generation