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Roi Reichart
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Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F Hill, R Reichart, A Korhonen
Computational Linguistics 41 (4), 665-695, 2015
16312015
Modeling the detection of textual cyberbullying
K Dinakar, R Reichart, H Lieberman
Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011
7912011
The hitchhiker’s guide to testing statistical significance in natural language processing
R Dror, G Baumer, S Shlomov, R Reichart
Proceedings of the 56th annual meeting of the association for computational …, 2018
4562018
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
BioRxiv, 2020.12. 02.403477, 2020
411*2020
SimVerb-3500: A large-scale evaluation set of verb similarity
D Gerz, I Vulić, F Hill, R Reichart, A Korhonen
Proceedings of EMNLP 2016, 2016
3262016
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ...
Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022
2632022
Semantic specialisation of distributional word vector spaces using monolingual and cross-lingual constraints
N Mrkšić, I Vulić, DÓ Séaghdha, I Leviant, R Reichart, M Gašić, ...
Transactions of the Association for Computational Linguistics 5, 309--324, 2017
2602017
Deep dominance-how to properly compare deep neural models
R Dror, S Shlomov, R Reichart
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1842019
Causalm: Causal model explanation through counterfactual language models
A Feder, N Oved, U Shalit, R Reichart
Computational Linguistics 47 (2), 333-386, 2021
1802021
Pada: A prompt-based autoregressive approach for adaptation to unseen domains
E Ben-David, N Oved, R Reichart
arXiv preprint arXiv:2102.12206 3, 2021
161*2021
The Turker blues: Hidden factors behind increased depression rates among Amazon’s Mechanical Turkers
Y Ophir, I Sisso, CSC Asterhan, R Tikochinski, R Reichart
Clinical Psychological Science 8 (1), 65-83, 2020
1592020
Modeling language variation and universals: A survey on typological linguistics for natural language processing
EM Ponti, H O’horan, Y Berzak, I Vulić, R Reichart, T Poibeau, E Shutova, ...
Computational Linguistics 45 (3), 559-601, 2019
1572019
Pivot based language modeling for improved neural domain adaptation
Y Ziser, R Reichart
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
1452018
Symmetric pattern based word embeddings for improved word similarity prediction
R Schwartz, R Reichart, A Rappoport
Proceedings of the nineteenth conference on computational natural language …, 2015
1442015
Self-training for enhancement and domain adaptation of statistical parsers trained on small datasets
R Reichart, A Rappoport
Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007
1292007
Deep neural networks detect suicide risk from textual facebook posts
Y Ophir, R Tikochinski, CSC Asterhan, I Sisso, R Reichart
Scientific reports 10 (1), 16685, 2020
1282020
Neural structural correspondence learning for domain adaptation
Y Ziser, R Reichart
Proceedings of the 21st Conference on Computational Natural Language …, 2016
1242016
Multi-task active learning for linguistic annotations
R Reichart, K Tomanek, U Hahn, A Rappoport
Proceedings of ACL-08: HLT, 861-869, 2008
1232008
Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling‏‎
I Leviant, R Reichart
arXiv preprint arxiv:1508.00106‏, 2015‎
118*2015
Do we really need fully unsupervised cross-lingual embeddings?
I Vulić, G Glavaš, R Reichart, A Korhonen
arXiv preprint arXiv:1909.01638, 2019
1052019
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