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Ian Tenney
Ian Tenney
Senior Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
BERT Rediscovers the Classical NLP Pipeline
I Tenney, D Das, E Pavlick
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
11042019
What do you learn from context? probing for sentence structure in contextualized word representations
I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ...
International Conference on Learning Representations, 2019
6522019
Ultrafast X-ray Auger probing of photoexcited molecular dynamics
BK McFarland, JP Farrell, S Miyabe, F Tarantelli, A Aguilar, N Berrah, ...
Nature communications 5 (1), 4235, 2014
1692014
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
A Wang, J Hula, P Xia, R Pappagari, RT McCoy, R Patel, N Kim, I Tenney, ...
Proceedings of the 57th Conference of the Association for Computational …, 2019
119*2019
Ultrafast isomerization initiated by X-ray core ionization
CE Liekhus-Schmaltz, I Tenney, T Osipov, A Sanchez-Gonzalez, N Berrah, ...
Nature communications 6 (1), 8199, 2015
1132015
What Happens To BERT Embeddings During Fine-tuning?
A Merchant, E Rahimtoroghi, E Pavlick, I Tenney
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020
1122020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1092020
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ...
Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019
832019
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Y Pruksachatkun, P Yeres, H Liu, J Phang, PM Htut, A Wang, I Tenney, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
79*2020
Measuring and Reducing Gendered Correlations in Pre-trained Models
K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, ...
arXiv preprint arXiv:2010.06032, 2020
742020
Do Language Embeddings Capture Scales?
X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
552020
The MultiBERTs: BERT Reproductions for Robustness Analysis
T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ...
arXiv preprint arXiv:2106.16163, 2021
382021
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
M Faruqui, E Pavlick, I Tenney, D Das
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
382018
Semicrystalline dihydroxyacetone copolymers derived from glycerol
J Simon, JV Olsson, H Kim, IF Tenney, RM Waymouth
Macromolecules 45 (23), 9275-9281, 2012
362012
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
J Michael, JA Botha, I Tenney
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
322020
Collisional decoherence and rotational quasirevivals in asymmetric-top molecules
IF Tenney, M Artamonov, T Seideman, PH Bucksbaum
Physical Review A 93 (1), 013421, 2016
192016
Experimental strategies for optical pump–soft x-ray probe experiments at the LCLS
BK McFarland, N Berrah, C Bostedt, J Bozek, PH Bucksbaum, ...
Journal of Physics: Conference Series 488 (1), 012015, 2014
182014
Towards Tracing Knowledge in Language Models Back to the Training Data
E Akyürek, T Bolukbasi, F Liu, B Xiong, I Tenney, J Andreas, K Guu
Findings of the Association for Computational Linguistics: EMNLP 2022, 2429-2446, 2022
16*2022
Retrieval-guided Counterfactual Generation for QA
B Paranjape, M Lamm, I Tenney
arXiv preprint arXiv:2110.07596, 2021
72021
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
K Guu, A Webson, E Pavlick, L Dixon, I Tenney, T Bolukbasi
arXiv preprint arXiv:2303.08114, 2023
22023
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