Query-focused Summarization
13 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Query-focused Summarization
Most implemented papers
QTSumm: Query-Focused Summarization over Tabular Data
Motivated by this, we define a new query-focused table summarization task, where text generation models have to perform human-like reasoning and analysis over the given table to generate a tailored summary.
Generating Query Focused Summaries from Query-Free Resources
yumoxu/marge
•
•
ACL 2021
The availability of large-scale datasets has driven the development of neural models that create generic summaries from single or multiple documents.
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
HLTCHKUST/QFS
•
•
Findings (ACL) 2021
Query focused summarization (QFS) models aim to generate summaries from source documents that can answer the given query.
CLIP-It! Language-Guided Video Summarization
srpkdyy/CLIP-It
•
•
NeurIPS 2021
A generic video summary is an abridged version of a video that conveys the whole story and features the most important scenes.
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
oja/aosumm
•
•
ACL 2022
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions.
Exploring Neural Models for Query-Focused Summarization
salesforce/query-focused-sum
•
•
Findings (NAACL) 2022
Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization.
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 event) and how people reacted to it (i. e., reported statements).
A Lightweight Constrained Generation Alternative for Query-focused Summarization
zhichaoxu-shufe/constrained-qfs
•
•
Query-focused summarization (QFS) aims to provide a summary of a document that satisfies information need of a given query and is useful in various IR applications, such as abstractive snippet generation.
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
The integration of multi-document pre-training objectives into language models has resulted in remarkable improvements in multi-document downstream tasks.
QuOTeS: Query-Oriented Technical Summarization
To address this problem, we propose QuOTeS, an interactive system designed to retrieve sentences related to a summary of the research from a collection of potential references and hence assist in the composition of new papers.
