| GloVe: Global vectors for word representation J Pennington, R Socher, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 44328 | 2014 |
| Introduction to information retrieval CD Manning, P Raghavan, H Schütze Cambridge: Cambridge University Press, 2008 | 30789* | 2008 |
| Introduction to Information Retrieval CD Manning, P Raghavan, H Schütze Cambridge: Cambridge University Press, 2008 | 18450* | 2008 |
| Foundations of Statistical Natural Language Processing CD Manning, H Schütze Cambridge, MA: MIT Press, 1999 | 17875 | 1999 |
| Effective approaches to attention-based neural machine translation MT Luong, H Pham, CD Manning EMNLP 2015 [arXiv preprint arXiv:1508.04025], 1412–1421, 2015 | 11252 | 2015 |
| Recursive deep models for semantic compositionality over a sentiment treebank R Socher, A Perelygin, J Wu, J Chuang, CD Manning, AY Ng, C Potts 2013 Conference on Empirical Methods in Natural Language Processing, 1631-1642, 2013 | 9855 | 2013 |
| The Stanford CoreNLP Natural Language Processing Toolkit CD Manning, M Surdeanu, J Bauer, J Finkel, SJ Bethard, D McClosky ACL System Demonstrations, 55–60, 2014 | 9795 | 2014 |
| A large annotated corpus for learning natural language inference SR Bowman, G Angeli, C Potts, CD Manning Empirical Methods in Natural Language Processing (EMNLP 2015). arXiv …, 2015 | 5115 | 2015 |
| Electra: Pre-training text encoders as discriminators rather than generators K Clark, MT Luong, QV Le, CD Manning International Conference on Learning Representations (ICLR) [arXiv preprint …, 2020 | 4667 | 2020 |
| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4652 | 2021 |
| Feature-rich part-of-speech tagging with a cyclic dependency network K Toutanova, D Klein, CD Manning, Y Singer Proceedings of the 2003 human language technology conference of the north …, 2003 | 4540 | 2003 |
| Incorporating non-local information into information extraction systems by Gibbs sampling JR Finkel, T Grenager, C Manning Proceedings of the 43rd annual meeting on association for computational …, 2005 | 4249 | 2005 |
| Improved semantic representations from tree-structured long short-term memory networks KS Tai, R Socher, CD Manning ACL 2015 [arXiv:1503.00075] Proceedings of the 53rd Annual Meeting of the …, 2015 | 4198 | 2015 |
| Accurate unlexicalized parsing D Klein, CD Manning Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 4112 | 2003 |
| Get to the point: Summarization with pointer-generator networks A See, PJ Liu, CD Manning ACL 2017 (arXiv preprint arXiv:1704.04368), 2017 | 3782 | 2017 |
| Generating typed dependency parses from phrase structure parses MC De Marneffe, B MacCartney, CD Manning Proceedings of the 5th International Conference on Language Resources and …, 2006 | 3195 | 2006 |
| A fast and accurate dependency parser using neural networks D Chen, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 2561 | 2014 |
| Reasoning with neural tensor networks for knowledge base completion R Socher, D Chen, CD Manning, A Ng Advances in neural information processing systems 26, 2013 | 2546 | 2013 |
| HotpotQA: A dataset for diverse, explainable multi-hop question answering Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ... Empirical Methods in Natural Language Processing (EMNLP) [arXiv preprint …, 2018 | 2320 | 2018 |
| Direct preference optimization: Your language model is secretly a reward model R Rafailov, A Sharma, E Mitchell, S Ermon, CD Manning, C Finn Advances in Neural Information Processing Systems [arXiv:2305.18290] 36 …, 2023 | 2148 | 2023 |
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