Search Results for author: Guy Feigenblat

Found 15 papers, 4 papers with code

TWEETSUMM - A Dialog Summarization Dataset for Customer Service

no code implementations Findings (EMNLP) 2021 Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov

In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, usually for the benefit of other agents that may have to deal with the same customer or issue.

Extractive Summarization Unsupervised Extractive Summarization

Using Question Answering Rewards to Improve Abstractive Summarization

1 code implementation Findings (EMNLP) 2021 Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi

Particularly, the results from human evaluations show that the summaries generated by our approach is preferred over 30% of the time over the summaries generated by general abstractive summarization models.

Abstractive Text Summarization Question Answering

Overview of the First Workshop on Scholarly Document Processing (SDP)

no code implementations EMNLP (sdp) 2020 Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard

To reach to the broader NLP and AI/ML community, pool distributed efforts and enable shared access to published research, we held the 1st Workshop on Scholarly Document Processing at EMNLP 2020 as a virtual event.

TWEETSUMM -- A Dialog Summarization Dataset for Customer Service

1 code implementation23 Nov 2021 Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov

In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, usually for the benefit of other agents that may have to deal with the same customer or issue.

Extractive Summarization Unsupervised Extractive Summarization

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

1 code implementation7 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 implementations10 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.

An Editorial Network for Enhanced Document Summarization

no code implementations WS 2019 Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki

We suggest a new idea of Editorial Network - a mixed extractive-abstractive summarization approach, which is applied as a post-processing step over a given sequence of extracted sentences.

Abstractive Text Summarization Document Summarization +1

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