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Unsupervised Search Algorithm Configuration using Query Performance Prediction


Oct 03, 2022
Haggai Roitman

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Learning to Diversify for Product Question Generation


Jul 06, 2022
Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser

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tBDFS: Temporal Graph Neural Network Leveraging DFS


Jun 12, 2022
Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky

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* 9 pages, 2 figures, 2 tables 

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Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce


Oct 24, 2021
Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser

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* International Conference on Web Search and Data Mining (WSDM), 2022 

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PreSizE: Predicting Size in E-Commerce using Transformers


May 04, 2021
Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus

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* Accepted for publication in SIGIR'2021 

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Conversational Document Prediction to Assist Customer Care Agents


Oct 05, 2020
Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis Lastras, David Konopnicki

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* EMNLP 2020. The released Twitter dataset is available at: https://github.com/IBM/twitter-customer-care-document-prediction 

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A Study of Human Summaries of Scientific Articles


Feb 10, 2020
Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, David Konopnicki

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A Summarization System for Scientific Documents


Aug 29, 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

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* Accepted to EMNLP 2019 

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A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints


Aug 19, 2019
Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, David Konopnicki

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An Editorial Network for Enhanced Document Summarization


Feb 27, 2019
Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki

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