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2020 – today
- 2024
[c16]Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch:
Label-Efficient Model Selection for Text Generation. ACL (1) 2024: 8384-8402- [i13]Shir Ashury-Tahan, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch, Ariel Gera:
Label-Efficient Model Selection for Text Generation. CoRR abs/2402.07891 (2024) - [i12]Kshitij Fadnis, Siva Sankalp Patel, Odellia Boni, Yannis Katsis, Sara Rosenthal, Benjamin Sznajder, Marina Danilevsky:
InspectorRAGet: An Introspection Platform for RAG Evaluation. CoRR abs/2404.17347 (2024) - 2023
- [c15]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) 2023: 10406-10420 - [i11]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR abs/2305.01628 (2023) - 2022
- [i10]Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim:
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. CoRR abs/2203.15590 (2022) - 2021
- [j2]Noam Slonim
, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov:
An autonomous debating system. Nat. 591(7850): 379-384 (2021) - [c14]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. ACL/IJCNLP (Findings) 2021: 3748-3756 - [c13]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 - [c12]Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi:
Using Question Answering Rewards to Improve Abstractive Summarization. EMNLP (Findings) 2021: 518-526 - [i9]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. CoRR abs/2106.03337 (2021) - [i8]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) - [i7]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
- [c11]Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - A Working Solution. AAAI 2020: 7683-7691
2010 – 2019
- 2019
- [c10]Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. ACL (1) 2019: 1013-1026 - [i6]Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim:
Fast End-to-End Wikification. CoRR abs/1908.06785 (2019) - [i5]Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim:
Controversy in Context. CoRR abs/1908.07491 (2019) - [i4]Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. CoRR abs/1908.08336 (2019) - [i3]Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - a Working Solution. CoRR abs/1911.10763 (2019) - [i2]Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder:
Financial Event Extraction Using Wikipedia-Based Weak Supervision. CoRR abs/1911.10783 (2019) - 2018
- [c9]Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim:
Learning Concept Abstractness Using Weak Supervision. EMNLP 2018: 4854-4859 - [i1]Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim:
Learning Concept Abstractness Using Weak Supervision. CoRR abs/1809.01285 (2018) - 2017
- [c8]Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim:
Unsupervised corpus-wide claim detection. ArgMining@EMNLP 2017: 79-84 - 2016
- [c7]Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, Ehud Aharoni:
On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. WWW (Companion Volume) 2016: 991-996 - 2013
- [j1]David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass:
A statistical approach to mining customers' conversational data from social media. IBM J. Res. Dev. 57(3/4): 14 (2013)
2000 – 2009
- 2009
- [c6]Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder:
Towards an Integrated Approach to Music Retrieval. IRCDL 2009: 80-87 - [c5]Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder:
A unified inverted index for an efficient image and text retrieval. SIGIR 2009: 814-815 - 2008
- [c4]Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har'El, Ronny Lempel, Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene J. Shekita, Benjamin Sznajder, Sivan Yogev:
Beyond basic faceted search. WSDM 2008: 33-44 - 2007
- [c3]Markus Lorch, Andrea Elias, Thomas Hampp-Bahnmüller, Benjamin Sznajder:
Discovering concepts via semantic expansion of keyword queries. LWA 2007: 200-204 - [c2]Yosi Mass, Dafna Sheinwald, Benjamin Sznajder, Sivan Yogev:
XML Fragments Extended with Database Operators. RIAO 2007: 418-432 - 2003
- [c1]Yiftah Ben-Aharon, Sara Cohen, Yael Grumbach, Yaron Kanza, Jonathan Mamou, Yehoshua Sagiv, Benjamin Sznajder, Efrat Twito:
Searching in an XML Corpus Using Content and Structure. INEX 2003: 46-52
Coauthor Index
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last updated on 2024-10-31 20:14 CET by the dblp team
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