14 citations · 24 across the 14 of their papers we have counts for
6 papers · 1 filter
Learning to Diversify for Product Question Generation
Haggai Roitman, Uriel Singer, Yotam Eshel +2
We address the product question generation task. For a given product description, our goal is to generate questions that reflect potential user information needs that are either mi…
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…
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…
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…
An Editorial Network for Enhanced Document Summarization
Edward Moroshko, Guy Feigenblat, Haggai Roitman +1
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 se…
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
Haggai Roitman, Guy Feigenblat, David Konopnicki +2
We propose Dual-CES -- a novel unsupervised, query-focused, multi-document extractive summarizer. Dual-CES is designed to better handle the tradeoff between saliency and focus in s…