Table 19.
The number of 20 most cited papers for the past 5 years (2016–2020).
| Rank | Name and title | Corpus | Year | Authors | #Citations 2016–2020 |
|---|---|---|---|---|---|
| 1 | Glove: Global Vectors for Word Representation | emnlp | 2014 | Jeffrey Pennington, Richard Socher, Christopher D. Manning | 2,486 |
| 2 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | naacl | 2019 | Jacob Devlin, Ming Wei Chang, Kenton Lee, Kristina Toutanova | 2,468 |
| 3 | BLEU: a Method for Automatic Evaluation of Machine Translation | acl | 2002 | Kishore A. Papineni, Salim Roukos, Todd R. Ward, Wei Jing Zhu | 1,491 |
| 4 | Deep Contextualized Word Representations | naacl | 2018 | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke S. Zettlemoyer | 1,166 |
| 5 | Effective Approaches to Attention-based Neural Machine Translation | emnlp | 2015 | Thang Luong, Hieu Pham, Christopher D. Manning | 907 |
| 6 | Neural Machine Translation of Rare Words with Subword Units | acl | 2016 | Rico Sennrich, Barry Haddow, Alexandra Birch | 836 |
| 7 | Convolutional Neural Networks for Sentence Classification | emnlp | 2014 | Yoon Chul Kim | 820 |
| 8 | Front-End Factor Analysis for Speaker Verification | taslp | 2011 | Najim Dehak, Patrick J. Kenny, Réda Dehak, Pierre Dumouchel, Pierre Ouellet | 738 |
| 9 | Enriching Word Vectors with Subword Information | tacl | 2017 | Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomáš Mikolov | 687 |
| 10 | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation | emnlp | 2014 | Kyunghyun Cho, Bart Van Merrienboer, Caglar Gulçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio | 566 |
| 11 | SQuAD: 100,000+ Questions for Machine Comprehension of Text | emnlp | 2016 | Pranav Rajpurkar, Jian Justin Zhang, Konstantin Lopyrev, Percy Liang | 556 |
| 12 | Moses: Open Source Toolkit for Statistical Machine Translation | acl | 2007 | Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Christopher Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst | 505 |
| 13 | Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank | emnlp | 2013 | Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts | 488 |
| 14 | Librispeech: An ASR Corpus Based on Public Domain Audio Books | icassps | 2015 | Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur | 474 |
| 15 | Recurrent neural network-based language model | isca | 2010 | Tomáš Mikolov, Martin Karafiát, Lukás Burget, Jan Honza Cernocký, Sanjeev Khudanpur | 472 |
| 16 | Wordnet: A Lexical Database for English | hlt | 1992 | George A. Miller | 456 |
| 17 | Get To The Point: Summarization with Pointer-Generator Networks | acl | 2017 | Abigail See, Peter J. Liu, Christopher D. Manning | 455 |
| 18 | Building a Large Annotated Corpus of English: The Penn Treebank | cl | 1993 | Mitchell P. Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz | 447 |
| 19 | A large annotated corpus for learning natural language inference | emnlp | 2015 | Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning | 446 |
| 20 | Neural Architectures for Named Entity Recognition | naacl | 2016 | Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Christopher Dyer | 432 |