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



Benjamin Sznajder , Chulaka Gunasekara , Guy Lev , Sachin Joshi , Eyal Shnarch , Noam Slonim


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TWEETSUMM -- A Dialog Summarization Dataset for Customer Service



Guy Feigenblat , Chulaka Gunasekara , Benjamin Sznajder , Sachindra Joshi , David Konopnicki , Ranit Aharonov

* Findings of the Association for Computational Linguistics: EMNLP (2021) 245--260 

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HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles



Odellia Boni , Guy Feigenblat , Guy Lev , Michal Shmueli-Scheuer , Benjamin Sznajder , David Konopnicki

* 8 pages, 4 figures, 5 tables. HowSumm dataset is publicly available at \url{https://ibm.biz/BdfhzH

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Summary Grounded Conversation Generation



Chulaka Gunasekara , Guy Feigenblat , Benjamin Sznajder , Sachindra Joshi , David Konopnicki

* Findings of ACL - 2021, 9 pages 

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Financial Event Extraction Using Wikipedia-Based Weak Supervision



Liat Ein-Dor , Ariel Gera , Orith Toledo-Ronen , Alon Halfon , Benjamin Sznajder


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Corpus Wide Argument Mining -- a Working Solution



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

* AAAI 2020 

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Argument Invention from First Principles



Yonatan Bilu , Ariel Gera , Daniel Hershcovich , Benjamin Sznajder , Dan Lahav , Guy Moshkowich , Anael Malet , Assaf Gavron , Noam Slonim

* Presented at ACL 2019 

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Controversy in Context



Benjamin Sznajder , Ariel Gera , Yonatan Bilu , Dafna Sheinwald , Ella Rabinovich , Ranit Aharonov , David Konopnicki , Noam Slonim

* 5 pages 

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Fast End-to-End Wikification



Ilya Shnayderman , Liat Ein-Dor , Yosi Mass , Alon Halfon , Benjamin Sznajder , Artem Spector , Yoav Katz , Dafna Sheinwald , Ranit Aharonov , Noam Slonim


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Learning Concept Abstractness Using Weak Supervision



Ella Rabinovich , Benjamin Sznajder , Artem Spector , Ilya Shnayderman , Ranit Aharonov , David Konopnicki , Noam Slonim

* 6 pages, EMNLP 2018 

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