Papers Query-focused Summarization
“Query-focused Summarization” 태그가 달린 논문 36편 · 필터 해제
SumREN: Summarizing Reported Speech about Events in News
A primary objective of news articles is to establish the factual record for an event, frequently achieved by conveying both the details of the specified event (i.e., the 5 Ws; Who, What, Where, When and Why regarding the…
ArticlesDocument SummarizationMulti-Document SummarizationNews Summarization+1Few-shot Query-Focused Summarization with Prefix-Merging
Query-focused summarization has been considered as an important extension for text summarization. It aims to generate a concise highlight for a given query. Different from text summarization, query-focused summarization …
Few-Shot LearningQuery-focused SummarizationQuestion AnsweringText SummarizationExploring Neural Models for Query-Focused Summarization
Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization. While recently released datasets, such as QMSum or AQuaMuSe, fa…
Query-focused SummarizationExploring Neural Models for Query-Focused Summarization
Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization. While recently released datasets, such as QMSum or AQuaMuSe, fa…
Query-focused SummarizationTransfer LearningTackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study
Query-focused summarization (QFS) requires generating a summary given a query using a set of relevant documents. However, such relevant documents should be annotated manually and thus are not readily available in realist…
Open-Domain Question AnsweringPassage RetrievalQuery-focused SummarizationQuestion Answering+2ASPECTNEWS: Aspect-Oriented Summarization of News Documents
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions. But real users' needs often fall in between these extremes and correspond to aspects, high-level topi…
ArticlesQuery-focused SummarizationCLIP-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 SummarizationText Summarization with Latent Queries
The availability of large-scale datasets has driven the development of neural models that create summaries from single documents, for generic purposes. When using a summarization system, users often have specific intents…
Abstractive Text SummarizationLanguage ModelingLanguage ModellingQuery-focused Summarization+1Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
Query focused summarization (QFS) models aim to generate summaries from source documents that can answer the given query. Most previous work on QFS only considers the query relevance criterion when producing the summary.…
Abstractive Text SummarizationQuery-focused SummarizationQuestion AnsweringGenerating Query Focused Summaries from Query-Free Resources
The availability of large-scale datasets has driven the development of neural models that create generic summaries from single or multiple documents. In this work we consider query focused summarization (QFS), a task for…
Language ModelingLanguage ModellingQuery-focused SummarizationA Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures
We study submodular information measures as a rich framework for generic, query-focused, privacy sensitive, and update summarization tasks. While past work generally treats these problems differently ({\em e.g.}, differe…
Privacy PreservingQuery-focused SummarizationTransforming Wikipedia into Augmented Data for Query-Focused Summarization
The limited size of existing query-focused summarization datasets renders training data-driven summarization models challenging. Meanwhile, the manual construction of a query-focused summarization corpus is costly and ti…
Data AugmentationQuery-focused SummarizationQuery Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models
Query Focused Summarization (QFS) has been addressed mostly using extractive methods. Such methods, however, produce text which suffers from low coherence. We investigate how abstractive methods can be applied to QFS, to…
Abstractive Text SummarizationDocument SummarizationQuery-Based Extractive SummarizationQuery-focused SummarizationTowards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
We propose a submodular function-based summarization system which integrates three important measures namely importance, coverage, and non-redundancy to detect the important sentences for the summary. We design monotone …
Abstractive Text SummarizationDocument SummarizationMulti-Document SummarizationQuery-focused Summarization+3A Unified Multi-Faceted Video Summarization System
This paper addresses automatic summarization and search in visual data comprising of videos, live streams and image collections in a unified manner. In particular, we propose a framework for multi-faceted summarization w…
DiversityExtractive SummarizationQuery-focused SummarizationVideo SummarizationAttSum: Joint Learning of Focusing and Summarization with Neural Attention
Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization. Previous supervised summarization systems often perform the two tasks in isolation. However, since r…
Query-focused SummarizationSaliency RankingSentence