Query-Based Extractive Summarization
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Benchmarks
Debatepedia
Most implemented
DebateSum: A large-scale argument mining and summarization dataset
CX DB8: A queryable extractive summarizer and semantic search engine
Diversity driven Attention Model for Query-based Abstractive Summarization
Papers
CX DB8: A queryable extractive summarizer and semantic search engine
Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production. We find that the unique type of extractive summarization performed by competitive debaters - su…
Extractive SummarizationExtractive Text SummarizationQuery-Based Extractive SummarizationText SummarizationDebateSum: A large-scale argument mining and summarization dataset
Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply natural language processing techniques to p…
Abstractive Text SummarizationArgument MiningDocument SummarizationExtractive Text Summarization+3Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
We propose Dual-CES -- a novel unsupervised, query-focused, multi-document extractive summarizer. Dual-CES is designed to better handle the tradeoff between saliency and focus in summarization. To this end, Dual-CES empl…
Extractive SummarizationQuery-Based Extractive 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 SummarizationDiversity driven Attention Model for Query-based Abstractive Summarization
Abstractive summarization aims to generate a shorter version of the document covering all the salient points in a compact and coherent fashion. On the other hand, query-based summarization highlights those points that ar…
Abstractive Text SummarizationDiversityExtractive SummarizationMachine Translation+2Query-based summarization using MDL principle
Query-based text summarization is aimed at extracting essential information that answers the query from original text. The answer is presented in a minimal, often predefined, number of words. In this paper we introduce a…
Extractive SummarizationLanguage ModelingLanguage ModellingQuery-Based Extractive Summarization+1