Query-Based Extractive Summarization

3 papers with code • 1 benchmarks • 2 datasets

Extracting summarized information that answers a given query based on a reference text.

Most implemented papers

DebateSum: A large-scale argument mining and summarization dataset

Hellisotherpeople/DebateSum COLING (ArgMining) 2020

Finally, we present a search engine for this dataset which is utilized extensively by members of the National Speech and Debate Association today.

Diversity driven Attention Model for Query-based Abstractive Summarization

PrekshaNema25/DiverstiyBasedAttentionMechanism ACL 2017

Abstractive summarization aims to generate a shorter version of the document covering all the salient points in a compact and coherent fashion.

CX DB8: A queryable extractive summarizer and semantic search engine

Hellisotherpeople/CX_DB8 7 Dec 2020

Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production.