activity
20142022
most citedFisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation

83 citations · 109 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2022★ 1 cited

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization

Benjamin Sznajder, Chulaka Gunasekara, Guy Lev +3

Many organizations require their customer-care agents to manually summarize their conversations with customers. These summaries are vital for decision making purposes of the organi…

cs.CL2021★ 3 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.CV2021

Detector-Free Weakly Supervised Grounding by Separation

Assaf Arbelle, Sivan Doveh, Amit Alfassy +14

Nowadays, there is an abundance of data involving images and surrounding free-form text weakly corresponding to those images. Weakly Supervised phrase-Grounding (WSG) deals with th…

cs.CL2020★ 2 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.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…

cs.CL2019

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks

Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig +2

Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries…