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 | 495 | 2008 |
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 | 480 | 2018 |
Automatic sense prediction for implicit discourse relations in text E Pitler, A Louis, A Nenkova | 341 | 2009 |
Using syntax to disambiguate explicit discourse connectives in text E Pitler, A Nenkova | 282 | 2009 |
Universal Dependencies 1.2 J Nivre, ® Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 232 | 2015 |
Easily identifiable discourse relations E Pitler, M Raghupathy, H Mehta, A Nenkova, A Lee, AK Joshi Technical Reports (CIS), 884, 2008 | 189 | 2008 |
Synthetic QA corpora generation with roundtrip consistency C Alberti, D Andor, E Pitler, J Devlin, M Collins arXiv preprint arXiv:1906.05416, 2019 | 126 | 2019 |
Automatic evaluation of linguistic quality in multi-document summarization E Pitler, A Louis, A Nenkova | 117 | 2010 |
Morphosyntactic tagging with a meta-BiLSTM model over context sensitive token encodings B Bohnet, R McDonald, G Simoes, D Andor, E Pitler, J Maynez arXiv preprint arXiv:1805.08237, 2018 | 92 | 2018 |
New tools for web-scale n-grams D Lin, K Church, H Ji, S Sekine, D Yarowsky, S Bergsma, K Patil, E Pitler, ... Proceedings of the Seventh International Conference on Language Resources …, 2010 | 88 | 2010 |
A simpler, intuitive approach to morpheme induction S Keshava, E Pitler Proceedings of 2nd Pascal Challenges Workshop, 31-35, 2006 | 80 | 2006 |
Syntactic data augmentation increases robustness to inference heuristics J Min, RT McCoy, D Das, E Pitler, T Linzen arXiv preprint arXiv:2004.11999, 2020 | 72 | 2020 |
Contextual query suggestion in result pages SK Imig, KW Church, JM Larchevêque, SD Paye, SP Cucerzan, EB Pitler, ... US Patent 8,275,759, 2012 | 71 | 2012 |
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 | 55 | 2019 |
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 | 55 | 2018 |
Using web-scale N-grams to improve base NP parsing performance E Pitler, S Bergsma, D Lin, K Church Proceedings of the 23rd international conference on computational …, 2010 | 45 | 2010 |
Creating robust supervised classifiers via web-scale n-gram data S Bergsma, E Pitler, D Lin Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 43 | 2010 |
Structural features for predicting the linguistic quality of text A Nenkova, J Chae, A Louis, E Pitler Empirical methods in natural language generation, 222-241, 2009 | 39 | 2009 |
Finding Optimal 1-Endpoint-Crossing Trees E Pitler, S Kannan, M Marcus | 35 | 2013 |
Natural language processing with small feed-forward networks JA Botha, E Pitler, J Ma, A Bakalov, A Salcianu, D Weiss, R McDonald, ... arXiv preprint arXiv:1708.00214, 2017 | 30 | 2017 |