Query-focused Summarization
16 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Query-focused Summarization
SumIPCC
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.
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
To combine the strengths of these contrasting methods, we propose a Graph RAG approach to question answering over private text corpora that scales with both the generality of user questions and the quantity of source text to be indexed.
Generating Query Focused Summaries from Query-Free Resources
yumoxu/marge
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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
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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
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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
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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
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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
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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.
