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Jonathan Herzig
Jonathan Herzig
Research Scientist, Google
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
A Talmor*, J Herzig*, N Lourie, J Berant
NAACL 2019, 2018
14372018
TAPAS: Weakly Supervised Table Parsing via Pre-training
J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos
ACL 2020, 2020
6372020
Learning To Retrieve Prompts for In-Context Learning
O Rubin, J Herzig, J Berant
NAACL 2022, 2022
5662022
TRUE: Re-evaluating Factual Consistency Evaluation
O Honovich, R Aharoni, J Herzig, H Taitelbaum, D Kukliansy, V Cohen, ...
NAACL 2022, 2022
2042022
Span-based semantic parsing for compositional generalization
J Herzig, J Berant
ACL 2021, 2021
1102021
Attributed question answering: Evaluation and modeling for attributed large language models
B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, M Ciaramita, ...
arXiv preprint arXiv:2212.08037, 2022
1072022
Open Domain Question Answering over Tables via Dense Retrieval
J Herzig, T Müller, S Krichene, JM Eisenschlos
NAACL 2021, 2021
942021
Improving Compositional Generalization in Semantic Parsing
I Oren, J Herzig*, N Gupta*, M Gardner, J Berant
Findings of EMNLP 2020, 2020
732020
Unlocking compositional generalization in pre-trained models using intermediate representations
J Herzig, P Shaw, MW Chang, K Guu, P Pasupat, Y Zhang
arXiv preprint arXiv:2104.07478, 2021
702021
A Summarization System for Scientific Documents
S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ...
EMNLP 2019, 2019
702019
Neural semantic parsing over multiple knowledge-bases
J Herzig, J Berant
ACL 2017, 2017
702017
Trueteacher: Learning factual consistency evaluation with large language models
Z Gekhman, J Herzig, R Aharoni, C Elkind, I Szpektor
EMNLP 2023, 2023
642023
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
J Herzig, J Berant
EMNLP 2018, 2018
642018
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
642016
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
582019
What You See is What You Read? Improving Text-Image Alignment Evaluation
M Yarom, Y Bitton, S Changpinyo, R Aharoni, J Herzig, O Lang, E Ofek, ...
NeurIPS 2023, 2023
542023
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova
EMNLP 2022, 2022
532022
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
512017
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
512016
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
512014
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Статьи 1–20