HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

1 code implementation • 7 Oct 2021 • Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki

We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions from a set of sources.

Abstractive Text Summarization Document Summarization +1

A Study of Human Summaries of Scientific Articles

no code implementations • 10 Feb 2020 • Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, David Konopnicki

Researchers and students face an explosion of newly published papers which may be relevant to their work.

A Summarization System for Scientific Documents

no code implementations • IJCNLP 2019 • Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki

We present a novel system providing summaries for Computer Science publications.

Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization

no code implementations • 1 Nov 2018 • Haggai Roitman, Guy Feigenblat, David Konopnicki, Doron Cohen, Odellia Boni

We propose Dual-CES -- a novel unsupervised, query-focused, multi-document extractive summarizer.

Extractive Summarization Query-Based Extractive Summarization