Jonathan Herzig

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang.
arXiv, 2021.

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Span-based Semantic Parsing for Compositional Generalization.
Jonathan Herzig, Jonathan Berant.
ACL, 2021.

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Open Domain Question Answering over Tables via Dense Retrieval.
Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos.
NAACL, 2021.

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Improving Compositional Generalization in Semantic Parsing.
Inbar Oren, Jonathan Herzig* , Nitish Gupta*, Matt Gardner, Jonathan Berant.
* equal contribution. Findings of EMNLP, 2020.

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TAPAS: Weakly Supervised Table Parsing via Pre-training.
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos.
ACL, 2020.

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Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing.
Jonathan Herzig, Jonathan Berant.
EMNLP, 2019.

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A Summarization System for Scientific Documents.
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.
EMNLP, 2019.

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TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks.
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki.
ACL, 2019.

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Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction.
Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank.
UMAP, 2019.

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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.
Alon Talmor* , Jonathan Herzig*, Nicholas Lourie, Jonathan Berant.
* equal contribution. Best resource paper award. NAACL, 2019.

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Value-based Search in Execution Space for Mapping Instructions to Programs.
Dor Muhlgay, Jonathan Herzig, Jonathan Berant.
NAACL, 2019.

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Bot2Vec: Learning Representations of Chatbots.
Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki.
*SEM, 2019.

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Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing.
Jonathan Herzig, Jonathan Berant.
EMNLP, 2018.

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Detecting Egregious Conversations between Customers and Virtual Agents.
Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John Richards, David Piorkowski.
NAACL, 2018.

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On the Expression of Agent Emotions in Customer Support Dialogs in Social Media.
Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki.
IUI, 2018.

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Neural Semantic Parsing over Multiple Knowledge-bases.
Jonathan Herzig, Jonathan Berant.
ACL, 2017.

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Neural response generation for customer service based on personality traits.
Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki.
Best short paper award. INLG, 2017.

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Emotion Detection from Text via Ensemble Classification Using Word Embeddings.
Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki.
ICTIR, 2017.

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EHCTool: Managing Emotional Hotspots for Conversational Agents.
Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul.
IUI, 2017.

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Classifying emotions in customer support dialogues in social media.
Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak.
SIGDIAL, 2016.

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Predicting customer satisfaction in customer support conversations in social media using affective features.
Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli.
UMAP, 2016.

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I Understand Your Frustration.
Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi.
CSCW, 2016.

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Monitoring cardiac stress using features extracted from S1 heart sounds.
Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator.
IEEE Transactions on Biomedical Engineering, 2015.

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An author-reader influence model for detecting topic-based influencers in social media.
Jonathan Herzig, Yosi Mass, Haggai Roitman.
Hypertext, 2014.

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Mindful: A Platform for Large-Scale Affective Field Research.
Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki.
Proceedings of the 2nd ACM International Workshop on Immersive Media Experiences@ACMMM, 2014.

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A statistical approach to mining customers’ conversational data from social media.
David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N Zwerling, Haggai Roitman, Yosi Mass.
IBM Journal of Research and Development, 2013.

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Eventsense: Capturing the pulse of large-scale events by mining social media streams.
Emmanouil Schinas, Symeon Papadopoulos, Sotiris Diplaris, Yiannis Kompatsiaris, Yosi Mass, Jonathan Herzig, Lazaros Boudakidis.
PCI, 2013.

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Jonathan Herzig

NLP PhD Student

The Blavatnik School of Computer Science, Tel-Aviv University

Publications