Seguir
Roi Reichart
Título
Citado por
Citado por
Año
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F Hill, R Reichart, A Korhonen
Computational Linguistics 41 (4), 665-695, 2015
16042015
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
7752011
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
4392018
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
365*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
3162016
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
2572017
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
2362022
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
1772019
Causalm: Causal model explanation through counterfactual language models
A Feder, N Oved, U Shalit, R Reichart
Computational Linguistics 47 (2), 333-386, 2021
1612021
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
1562020
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
1532019
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
150*2021
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
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
1392018
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
1272007
Multi-task active learning for linguistic annotations
R Reichart, K Tomanek, U Hahn, A Rappoport
Proceedings of ACL-08: HLT, 861-869, 2008
1232008
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
1172020
Neural structural correspondence learning for domain adaptation
Y Ziser, R Reichart
Proceedings of the 21st Conference on Computational Natural Language …, 2016
1172016
Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling
I Leviant, R Reichart
arXiv preprint arxiv:1508.00106, 2015
115*2015
An unsupervised model for instance level subcategorization acquisition
S Baker, R Reichart, A Korhonen
Proceedings of the 2014 conference on empirical methods in natural language …, 2014
1032014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20