Jonathan Herzig
Jonathan Herzig
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Cited by
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
A Talmor, J Herzig, N Lourie, J Berant
NAACL 2019, 2018
Neural semantic parsing over multiple knowledge-bases
J Herzig, J Berant
ACL 2017, 2017
Monitoring cardiac stress using features extracted from S1 heart sounds
J Herzig, A Bickel, A Eitan, N Intrator
IEEE Transactions on Biomedical Engineering 62 (4), 1169-1178, 2014
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
J Herzig, J Berant
EMNLP 2018, 2018
An author-reader influence model for detecting topic-based influencers in social media
J Herzig, Y Mass, H Roitman
Proceedings of the 25th ACM conference on Hypertext and social media, 46-55, 2014
Neural response generation for customer service based on personality traits
J Herzig, M Shmueli-Scheuer, T Sandbank, D Konopnicki
Proceedings of the 10th International Conference on Natural Language …, 2017
Classifying emotions in customer support dialogues in social media
J Herzig, G Feigenblat, M Shmueli-Scheuer, D Konopnicki, A Rafaeli, ...
Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016
Predicting customer satisfaction in customer support conversations in social media using affective features
J Herzig, G Feigenblat, M Shmueli-Scheuer, D Konopnicki, A Rafaeli
Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016
Eventsense: Capturing the pulse of large-scale events by mining social media streams
E Schinas, S Papadopoulos, S Diplaris, Y Kompatsiaris, Y Mass, J Herzig, ...
Proceedings of the 17th Panhellenic Conference on Informatics, 17-24, 2013
Detecting Egregious Conversations between Customers and Virtual Agents
T Sandbank, M Shmueli-Scheuer, D Konopnicki, J Herzig, J Richards, ...
NAACL 2018, 2017
Emotion detection from text via ensemble classification using word embeddings
J Herzig, M Shmueli-Scheuer, D Konopnicki
Proceedings of the ACM SIGIR International Conference on Theory of …, 2017
A statistical approach to mining customers' conversational data from social media
D Konopnicki, M Shmueli-Scheuer, D Cohen, B Sznajder, J Herzig, ...
IBM Journal of Research and Development 57 (3/4), 14: 1-14: 13, 2013
Ehctool: Managing emotional hotspots for conversational agents
T Sandbank, M Shmueli-Scheuer, J Herzig, D Konopnicki, R Shaul
Proceedings of the 22nd International Conference on Intelligent User …, 2017
A Summarization System for Scientific Documents
S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ...
EMNLP 2019, 2019
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
G Lev, M Shmueli-Scheuer, J Herzig, A Jerbi, D Konopnicki
ACL 2019, 2019
I understand your frustration
G Feigenblat, D Konopnicki, M Shmueli-Scheuer, J Herzig, H Shkedi
Proceedings of the 19th ACM Conference on Computer Supported Cooperative …, 2016
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
J Herzig, J Berant
EMNLP 2019, 2019
Emotion detection over social media
G Feigenblat, J Herzig, D Konopnicki, M Shmueli-Scheuer
US Patent App. 15/206,518, 2018
TAPAS: Weakly Supervised Table Parsing via Pre-training
J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos
ACL 2020, 2020
Emotion detection and expression integration in dialog systems
J Herzig, D Konopnicki, T Sandbank, M Shmueli-Scheuer
US Patent 10,372,825, 2019
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