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Emily Pitler
Emily Pitler
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
25562023
CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies
D Zeman, J Hajic, M Popel, M Potthast, M Straka, F Ginter, J Nivre, ...
Proceedings of the CoNLL 2018 Shared Task: Multilingual parsing from raw …, 2018
6912018
Revisiting readability: A unified framework for predicting text quality
E Pitler, A Nenkova
Proceedings of the 2008 conference on empirical methods in natural language …, 2008
6192008
Automatic sense prediction for implicit discourse relations in text
E Pitler, A Louis, A Nenkova
3872009
Using syntax to disambiguate explicit discourse connectives in text
E Pitler, A Nenkova
3432009
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
3162023
Synthetic QA corpora generation with roundtrip consistency
C Alberti, D Andor, E Pitler, J Devlin, M Collins
arXiv preprint arXiv:1906.05416, 2019
2772019
Easily identifiable discourse relations
E Pitler, M Raghupathy, H Mehta, A Nenkova, A Lee, A Joshi
Coling 2008: Companion volume: Posters, 87-90, 2008
2342008
Universal Dependencies 1.2
J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ...
Universal Dependencies Consortium, 2015
2282015
Syntactic data augmentation increases robustness to inference heuristics
J Min, RT McCoy, D Das, E Pitler, T Linzen
arXiv preprint arXiv:2004.11999, 2020
1922020
Automatic evaluation of linguistic quality in multi-document summarization
E Pitler, A Louis, A Nenkova
Proceedings of the 48th annual meeting of the Association for Computational …, 2010
1342010
Morphosyntactic tagging with a meta-BiLSTM model over context sensitive token encodings
B Bohnet, R McDonald, G Simões, D Andor, E Pitler, J Maynez
arXiv preprint arXiv:1805.08237, 2018
1292018
Measuring and reducing gendered correlations in pre-trained models
K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, E Chi, ...
arXiv preprint arXiv:2010.06032, 2020
1272020
Giving BERT a calculator: Finding operations and arguments with reading comprehension
D Andor, L He, K Lee, E Pitler
arXiv preprint arXiv:1909.00109, 2019
1142019
Chi, and Slav Petrov. 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, 2010
1092010
New Tools for Web-Scale N-grams.
D Lin, KW Church, H Ji, S Sekine, D Yarowsky, S Bergsma, K Patil, ...
LREC, 2010
902010
A simpler, intuitive approach to morpheme induction
S Keshava, E Pitler
Proceedings of 2nd Pascal Challenges Workshop, 31-35, 2006
822006
Contextual query suggestion in result pages
SK Imig, KW Church, JM Larchevêque, SD Paye, SP Cucerzan, EB Pitler, ...
US Patent 8,275,759, 2012
782012
The first multilingual surface realisation shared task (SR’18): Overview and evaluation results
S Mille, A Belz, B Bohnet, Y Graham, E Pitler, L Wanner
Proceedings of the First Workshop on Multilingual Surface Realisation, 1-12, 2018
682018
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
arXiv preprint arXiv:2205.12253, 2022
552022
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