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Guy Feigenblat
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- affiliation: IBM Research AI, Haifa Research Lab, Haifa, Israel
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2020 – today
- 2022
- [c26]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c25]Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer:
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING 2022: 263-267 - [e2]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - 2021
- [c24]Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil:
KAAPA: Knowledge Aware Answers from PDF Analysis. AAAI 2021: 16029-16031 - [c23]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. ACL/IJCNLP (Findings) 2021: 3748-3756 - [c22]Guy Feigenblat, R. Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. EMNLP (Findings) 2021: 245-260 - [c21]Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi:
Using Question Answering Rewards to Improve Abstractive Summarization. EMNLP (Findings) 2021: 518-526 - [i8]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. CoRR abs/2106.03337 (2021) - [i7]Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki:
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles. CoRR abs/2110.03179 (2021) - [i6]Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. CoRR abs/2111.11894 (2021) - 2020
- [c20]Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard:
Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP 2020: 1-6 - [c19]Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard:
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. SDP@EMNLP 2020: 214-224 - [c18]Haggai Roitman, Yosi Mass, Guy Feigenblat, Roee Shraga:
Query Performance Prediction for Multifield Document Retrieval. ICTIR 2020: 49-52 - [c17]Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim:
Web Table Retrieval using Multimodal Deep Learning. SIGIR 2020: 1399-1408 - [c16]Roee Shraga, Haggai Roitman, Guy Feigenblat, Bar Weiner:
Projection-based Relevance Model for Table Retrieval. WWW (Companion Volume) 2020: 28-29 - [c15]Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim:
Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities. WWW 2020: 2479-2485 - [c14]Haggai Roitman, Guy Feigenblat, Doron Cohen, Odellia Boni, David Konopnicki:
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-Focused Extractive Summarization. WWW 2020: 2577-2584 - [e1]Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer:
Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-70-5 [contents] - [i5]Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, David Konopnicki:
A Study of Human Summaries of Scientific Articles. CoRR abs/2002.03604 (2020)
2010 – 2019
- 2019
- [c13]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:
A Summarization System for Scientific Documents. EMNLP/IJCNLP (3) 2019: 211-216 - [c12]Haggai Roitman, Shai Erera, Guy Feigenblat:
A Study of Query Performance Prediction for Answer Quality Determination. ICTIR 2019: 43-46 - [i4]Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki:
An Editorial Network for Enhanced Document Summarization. CoRR abs/1902.10360 (2019) - [i3]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:
A Summarization System for Scientific Documents. CoRR abs/1908.11152 (2019) - 2018
- [i2]Haggai Roitman, Guy Feigenblat, David Konopnicki, Doron Cohen, Odellia Boni:
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization. CoRR abs/1811.00436 (2018) - 2017
- [j9]Guy Feigenblat, Ely Porat, Ariel Shiftan:
A Grouping Approach for Succinct Dynamic Dictionary Matching. Algorithmica 77(1): 134-150 (2017) - [j8]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Erratum to: A Grouping Approach for Succinct Dynamic Dictionary Matching. Algorithmica 77(1): 151 (2017) - [j7]Guy Feigenblat, Ely Porat, Ariel Shiftan:
d-k-min-wise independent family of hash functions. J. Comput. Syst. Sci. 84: 171-184 (2017) - [c11]Guy Feigenblat, Odellia Boni, Haggai Roitman, David Konopnicki:
SummIt: A Tool for Extractive Summarization, Discovery and Analysis. CIKM 2017: 2459-2462 - [c10]Guy Feigenblat, Haggai Roitman, Odellia Boni, David Konopnicki:
Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method. SIGIR 2017: 961-964 - 2016
- [j6]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Addendum to 'Exponential time improvement for min-wise based algorithms' [Information and Computation 209 (2011) 737-747]. Inf. Comput. 251: 361 (2016) - [j5]Guy Feigenblat, Ofra Itzhaki, Ely Porat:
Corrigendum to "The frequent items problem, under polynomial decay, in the streaming model" [Theoret. Comput. Sci. 411(34-36) (2010) 3048-3054]. Theor. Comput. Sci. 648: 116 (2016) - [c9]Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi:
I Understand Your Frustration. CSCW Companion 2016: 25-28 - [c8]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Linear Time Succinct Indexable Dictionary Construction with Applications. DCC 2016: 13-22 - [c7]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak:
Classifying Emotions in Customer Support Dialogues in Social Media. SIGDIAL Conference 2016: 64-73 - [c6]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli:
Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. UMAP 2016: 115-119 - 2015
- [j4]Edel Jennings, Mark Roddy, Alexander J. Leckey, Guy Feigenblat:
Use of Scripted Role-Play in Evaluation of Multiple-User Multiple-Service Mobile Social and Pervasive Systems. Int. J. Mob. Hum. Comput. Interact. 7(4): 35-52 (2015) - 2014
- [j3]Avi Yaeli, Peter Bak, Guy Feigenblat, Sima Nadler, Haggai Roitman, Gilad Saadoun, Harold J. Ship, Doron Cohen, Omri Fuchs, Shila Ofek-Koifman, Tommy Sandbank:
Understanding customer behavior using indoor location analysis and visualization. IBM J. Res. Dev. 58(5/6) (2014) - [c5]Guy Feigenblat, Ely Porat, Ariel Shiftan:
An Improved Query Time for Succinct Dynamic Dictionary Matching. CPM 2014: 120-129 - [c4]Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Mindful: A Platform for Large-Scale Affective Field Research. ImmersiveMe@MM 2014: 45-48 - 2012
- [c3]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Exponential Space Improvement for minwise Based Algorithms. FSTTCS 2012: 70-85 - 2011
- [j2]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Exponential time improvement for min-wise based algorithms. Inf. Comput. 209(4): 737-747 (2011) - [c2]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Exponential Time Improvement for min-wise Based Algorithms. SODA 2011: 57-66 - [i1]Guy Feigenblat, Ely Porat, Ariel Shiftan:
Even Better Framework for min-wise Based Algorithms. CoRR abs/1102.3537 (2011) - 2010
- [j1]Guy Feigenblat, Ofra Itzhaki, Ely Porat:
The frequent items problem, under polynomial decay, in the streaming model. Theor. Comput. Sci. 411(34-36): 3048-3054 (2010)
2000 – 2009
- 2009
- [c1]Guy Feigenblat, Ofra Itzhaki, Ely Porat:
The Frequent Items Problem, under Polynomial Decay, in the Streaming Model. SPIRE 2009: 266-276
Coauthor Index
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