---
title: "Who cites Sequence to — page 3 — 3,346 citing papers"
description: "3,346 papers of the Elamur Research library cite «Sequence to Sequence Learning with Neural Networks», found in their bibliographies…"
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---
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# Who cites «Sequence to Sequence Learning with Neural Networks»

3,346 papers of our library cite it (of the 149,439 whose bibliographies we read) · 445 with a page here, the most cited first · page 3 of 5 · 201–300 · [← back to «Sequence to Sequence Learning with Neural Networks»](https://md.research.elamur.ai/free/en/papers/sutskever-2014-sequence-sequence-learning-neural-networks/)

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201. **[Copied Monolingual Data Improves Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield*2017 · 298 citations*
202. **[Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hua He, Jimmy Lin*2016 · 297 citations*
203. **[Learning Joint Multilingual Sentence Representations with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/schwenk-2017-learning-joint-multilingual-sentence-representations/) [Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)**Holger Schwenk, Matthijs Douze*2017 · 295 citations*
204. **[A Benchmark Dataset for Learning to Intervene in Online Hate Speech](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jing Qian, Anna Bethke, Yinyin Liu, et al.*2019 · 293 citations*
205. **[Exploiting Cross-Sentence Context for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 293 citations*
206. **[Ranking Sentences for Extractive Summarization with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/narayan-2018-ranking-sentences-extractive-summarization-reinforcement/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shashi Narayan, Shay B. Cohen, Mirella Lapata*2018 · 290 citations*
207. **[emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 289 citations*
208. **[Learning to Translate in Real-time with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.*2017 · 289 citations*
209. **[Text Generation from Knowledge Graphs with Graph Transformers](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.*2019 · 288 citations*
210. **[Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/nguyen-2017-transfer-learning-across-low-resource/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Toan Q. Nguyen, David Chiang*2017 · 288 citations*
211. **[Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 287 citations*
212. **[Getting Gender Right in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eva Vanmassenhove, Christian Hardmeier, Andy Way*2018 · 283 citations*
213. **[Variational Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 283 citations*
214. **[Compositional Vector Space Models for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arvind Neelakantan, Benjamin Roth, Andrew McCallum*2015 · 281 citations*
215. **[Multilingual Language Processing From Bytes](https://md.research.elamur.ai/free/en/papers/gillick-2016-multilingual-language-processing-bytes/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dan Gillick, Cliff Brunk, Oriol Vinyals, et al.*2016 · 280 citations*
216. **[MIME: MIMicking Emotions for Empathetic Response Generation](https://md.research.elamur.ai/free/en/papers/majumder-2020-mime-mimicking-emotions-empathetic-response/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Navonil Majumder, Pengfei Hong, Shanshan Peng, et al.*2020 · 278 citations*
217. [**What do RNN Language Models Learn about Filler-Gap Dependencies? arXiv:1809.00042**Ethan Wilcox, Roger Levy, Takashi Morita, et al.*2018 · 278 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2018-rnn-language-models-learn-about/)
218. **[A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions](https://md.research.elamur.ai/free/en/papers/wu-2025-survey-llm-generated-text-detection/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Junchao Wu, Shu Yang, Runzhe Zhan, et al.*2025 · 277 citations*
219. **[Cross-lingual Dependency Parsing Based on Distributed Representations](https://md.research.elamur.ai/free/en/papers/guo-2015-cross-lingual-dependency-parsing-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiang Guo, Wanxiang Che, David Yarowsky, et al.*2015 · 269 citations*
220. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 267 citations*
221. **[Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhou-2016-deep-recurrent-models-fast-forward/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jie Zhou, Ying Cao, Xuguang Wang, et al.*2016 · 265 citations*
222. **[Learning Global Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*
223. **[Selective Attention for Context-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/maruf-2019-selective-attention-context-aware-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sameen Maruf, André F. T. Martins, Gholamreza Haffari*2019 · 263 citations*
224. **[CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 262 citations*
225. **[On Extractive and Abstractive Neural Document Summarization with Transformer Language Models](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.*2020 · 261 citations*
226. [**Retrieve and Refine: Improved Sequence Generation Models For Dialogue Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI**Jason Weston, Emily Dinan, Alexander Miller*2018 · 259 citations*](https://md.research.elamur.ai/free/en/papers/weston-2018-retrieve-refine-improved-sequence-generation/)
227. **[Automatic Text Scoring Using Neural Networks](https://md.research.elamur.ai/free/en/papers/alikaniotis-2016-automatic-text-scoring-neural-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei*2016 · 259 citations*
228. **[Answer-focused and Position-aware Neural Question Generation](https://md.research.elamur.ai/free/en/papers/sun-2018-answer-focused-position-aware-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingwu Sun, Jing Liu, Yajuan Lyu, et al.*2018 · 255 citations*
229. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*
230. [**Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models**Harsh Jhamtani, Varun Gangal, Eduard Hovy, et al.*2017 · 252 citations*](https://md.research.elamur.ai/free/en/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/)
231. **[MedDialog: Large-scale Medical Dialogue Datasets](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.*2020 · 247 citations*
232. **[Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 247 citations*
233. **[Knowledge-Grounded Dialogue Generation with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 246 citations*
234. **[Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models](https://md.research.elamur.ai/free/en/papers/shao-2017-generating-high-quality-informative-conversation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanlong Shao, Stephan Gouws, Denny Britz, et al.*2017 · 246 citations*
235. [**Long-term Recurrent Convolutional Networks for Visual Recognition and Description arXiv:1411.4389**Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.*2014 · 245 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2014-long-term-recurrent-convolutional-networks/)
236. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 243 citations*
237. [**Generative Language Modeling for Automated Theorem Proving arXiv:2009.03393**Stanislas Polu, Ilya Sutskever*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
238. **[Incorporating Structural Alignment Biases into an Attentional Neural Translation Model](https://md.research.elamur.ai/free/en/papers/cohn-2016-incorporating-structural-alignment-biases-into/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, et al.*2016 · 241 citations*
239. **[Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sameen Maruf, Gholamreza Haffari*2018 · 238 citations*
240. **[Towards Robust Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/cheng-2018-robust-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Zhaopeng Tu, Fandong Meng, et al.*2018 · 238 citations*
241. **[BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization](https://md.research.elamur.ai/free/en/papers/sharma-2019-bigpatent-large-scale-dataset-abstractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eva Sharma, Chen Li, Lu Wang*2019 · 236 citations*
242. **[Dialog State Tracking: A Neural Reading Comprehension Approach](https://md.research.elamur.ai/free/en/papers/gao-2019-dialog-state-tracking-neural-reading/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.*2019 · 234 citations*
243. **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*
244. [**A Deep Generative Framework for Paraphrase Generation arXiv:1709.05074**Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.*2017 · 233 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2017-deep-generative-framework-paraphrase-generation/)
245. **[Towards Conversational Recommendation over Multi-Type Dialogs](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.*2020 · 230 citations*
246. **[Interpretation of Natural Language Rules in Conversational Machine Reading](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 230 citations*
247. **[MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Paul Michel, Graham Neubig*2018 · 227 citations*
248. **[Towards String-To-Tree Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roee Aharoni, Yoav Goldberg*2017 · 226 citations*
249. **[Searching for Effective Neural Extractive Summarization: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/zhong-2019-searching-effective-neural-extractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhong, Pengfei Liu, Danqing Wang, et al.*2019 · 225 citations*
250. [**Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks arXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10**Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.*2017 · 225 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2018-evaluating-layers-representation-neural-machine/)
251. [**Reinforced Self-Training (ReST) for Language Modeling arXiv:2308.08998**Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/gulcehre-2023-reinforced-self-training-rest-language/)
252. **[Transformer Memory as a Differentiable Search Index](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.*2022 · 223 citations*
253. **[Few-Shot Charge Prediction with Discriminative Legal Attributes](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zikun Hu, Xiang Li, Cunchao Tu, et al.*2018 · 221 citations*
254. **[You Impress Me: Dialogue Generation via Mutual Persona Perception](https://md.research.elamur.ai/free/en/papers/liu-2020-you-impress-me-dialogue-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Liu, Yihong Chen, Bei Chen, et al.*2020 · 215 citations*
255. **[Answers Unite! Unsupervised Metrics for Reinforced Summarization Models](https://md.research.elamur.ai/free/en/papers/scialom-2019-answers-unite-unsupervised-metrics-reinforced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.*2019 · 214 citations*
256. **[Deep Multitask Learning for Semantic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/peng-2017-deep-multitask-learning-semantic-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Sam Thomson, Noah A. Smith*2017 · 211 citations*
257. **[On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2020-exposure-bias-hallucination-domain-shift/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaojun Wang, Rico Sennrich*2020 · 206 citations*
258. **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 206 citations*
259. **[Nematus: a Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 206 citations*
260. [**Efficient softmax approximation for GPUs arXiv:1609.04309**Edouard Grave, Armand Joulin, Moustapha Cisse, et al.*2016 · 205 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)
261. **[Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss](https://md.research.elamur.ai/free/en/papers/plank-2016-multilingual-part-speech-tagging-bidirectional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Barbara Plank, Anders Søgaard, Yoav Goldberg*2016 · 203 citations*
262. **[End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jindřich Libovický, Jindřich Helcl*2018 · 202 citations*
263. **[On NMT Search Errors and Model Errors: Cat Got Your Tongue?](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Felix Stahlberg, Bill Byrne*2019 · 201 citations*
264. **[Neural Network-Based Abstract Generation for Opinions and Arguments](https://md.research.elamur.ai/free/en/papers/wang-2016-neural-network-based-abstract-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Lu Wang, Wang Ling*2016 · 200 citations*
265. **[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 194 citations*
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