Leshem Choshen
Leshem Choshen
Verified email at mail.huji.ac.il - Homepage
Cited by
Cited by
Will it blend? blending weak and strong labeled data in a neural network for argumentation mining
E Shnarch, C Alzate, L Dankin, M Gleize, Y Hou, L Choshen, R Aharonov, ...
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Dora the explorer: Directed outreaching reinforcement action-selection
L Choshen, L Fox, Y Loewenstein
arXiv preprint arXiv:1804.04012, 2018
SemEval-2019 task 1: Cross-lingual semantic parsing with UCCA
D Hershcovich, Z Aizenbud, L Choshen, E Sulem, A Rappoport, O Abend
arXiv preprint arXiv:1903.02953, 2019
Reference-less measure of faithfulness for grammatical error correction
L Choshen, O Abend
arXiv preprint arXiv:1804.03824, 2018
Are you convinced? Choosing the more convincing evidence with a Siamese network
M Gleize, E Shnarch, L Choshen, L Dankin, G Moshkowich, R Aharonov, ...
arXiv preprint arXiv:1907.08971, 2019
Corpus Wide Argument Mining—A Working Solution
L Ein-Dor, E Shnarch, L Dankin, A Halfon, B Sznajder, A Gera, C Alzate, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7683-7691, 2020
On the weaknesses of reinforcement learning for neural machine translation
L Choshen, L Fox, Z Aizenbud, O Abend
arXiv preprint arXiv:1907.01752, 2019
Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification
L Choshen, O Abend
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Learning to combine grammatical error corrections
Y Kantor, Y Katz, L Choshen, E Cohen-Karlik, N Liberman, A Toledo, ...
arXiv preprint arXiv:1906.03897, 2019
Automatic metric validation for grammatical error correction
L Choshen, O Abend
arXiv preprint arXiv:1804.11225, 2018
Let’s Agree to Agree: Neural Networks Share Classification Order on Real Datasets
G Hacohen, L Choshen, D Weinshall
International Conference on Machine Learning, 3950-3960, 2020
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
L Choshen, O Abend
arXiv preprint arXiv:1909.06814, 2019
The language of legal and illegal activity on the Darknet
L Choshen, D Eldad, D Hershcovich, E Sulem, O Abend
arXiv preprint arXiv:1905.05543, 2019
Active Learning for BERT: An Empirical Study
LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Semeval 2019 shared task: Cross-lingual semantic parsing with UCCA-call for participation
D Hershcovich, L Choshen, E Sulem, Z Aizenbud, A Rappoport, O Abend
arXiv preprint arXiv:1805.12386, 2018
An autonomous debating system
N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ...
Nature 591 (7850), 379-384, 2021
Classifying Syntactic Errors in Learner Language
L Choshen, D Nikolaev, Y Berzak, O Abend
arXiv preprint arXiv:2010.11032, 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
E Shnarch, L Choshen, G Moshkowich, N Slonim, R Aharonov
arXiv preprint arXiv:2010.09459, 2020
All neural networks are created equal
G Hacohen, L Choshen, D Weinshall
arXiv preprint arXiv:1905.10854, 2019
: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
O Honovich, L Choshen, R Aharoni, E Neeman, I Szpektor, O Abend
arXiv preprint arXiv:2104.08202, 2021
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