activity
20182021
most citedA Study of Human Summaries of Scientific Articles

3 citations · 8 across the 4 of their papers we have counts for

collaborators

12 papers

cs.CL20213 cited

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

Odellia Boni, Guy Feigenblat, Guy Lev +3

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…

cs.CL2021

Summary Grounded Conversation Generation

Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder +2

Many conversation datasets have been constructed in the recent years using crowdsourcing. However, the data collection process can be time consuming and presents many challenges to…

cs.CL2020

Conversational Document Prediction to Assist Customer Care Agents

Jatin Ganhotra, Haggai Roitman, Doron Cohen +6

A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents th…

cs.CL20202 cited

orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions

Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi +1

Frequently Asked Questions (FAQ) webpages are created by organizations for their users. FAQs are used in several scenarios, e.g., to answer user questions. On the other hand, the c…

cs.CL20203 cited

A Study of Human Summaries of Scientific Articles

Odellia Boni, Guy Feigenblat, Doron Cohen +2

Researchers and students face an explosion of newly published papers which may be relevant to their work. This led to a trend of sharing human summaries of scientific papers. We an…

cs.CL2019

A Summarization System for Scientific Documents

Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat +15

We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, explorat…