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title: "Who cites Learning Phrase — page 3 — 2,179 citing papers"
description: "2,179 papers of the Elamur Research library cite «Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine…"
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# Who cites «Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation»

2,179 papers of our library cite it (of the 149,439 whose bibliographies we read) · 245 with a page here, the most cited first · page 3 of 3 · 201–245 · [← back to «Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation»](https://md.research.elamur.ai/free/en/papers/cho-2014-learning-phrase-representations-rnn-encoder/)

[← prev](https://md.research.elamur.ai/free/en/papers/cho-2014-learning-phrase-representations-rnn-encoder/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/papers/cho-2014-learning-phrase-representations-rnn-encoder/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/cho-2014-learning-phrase-representations-rnn-encoder/cited-by/page/2/) **3**

201. [**Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis arXiv:1905.05700**Waleed A. Yousef, Omar M. Ibrahime, Taha M. Madbouly, et al.*2019 · 18 citations*](https://md.research.elamur.ai/free/en/papers/yousef-2019-learning-meters-arabic-english-poems/)
202. **[A System for Diacritizing Four Varieties of Arabic](https://md.research.elamur.ai/free/en/papers/mubarak-2019-system-diacritizing-four-varieties-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, et al.*2019 · 17 citations*
203. [**Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds**Igor Labutov, Bishan Yang, Anusha Prakash, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/)
204. **[Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention](https://md.research.elamur.ai/free/en/papers/korzekwa-2020-detection-lexical-stress-errors-non/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, et al.*2020 · 16 citations*
205. [**A Survey on Latent Reasoning arXiv:2507.06203**Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-survey-latent-reasoning/)
206. **[Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training](https://md.research.elamur.ai/free/en/papers/wan-2018-improved-dynamic-memory-network-dialogue/) [IEEE International Conference on Big Data (BigData)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-big-data-bigdata/)**Yao Wan, Wenqiang Yan, Jianwei Gao, et al.*2018 · 14 citations*
207. **[YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter](https://md.research.elamur.ai/free/en/papers/peng-2018-ynu-hpcc-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Bo Peng, Jin Wang, Xuejie Zhang*2018 · 14 citations*
208. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/)
209. **[Target Based Speech Act Classification in Political Campaign Text](https://md.research.elamur.ai/free/en/papers/subramanian-2019-target-based-speech-act-classification/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin*2019 · 13 citations*
210. [**Amharic-Arabic Neural Machine Translation arXiv:1912.13161**Ibrahim Gashaw, H L Shashirekha*2019 · 12 citations*](https://md.research.elamur.ai/free/en/papers/gashaw-2019-amharic-arabic-neural-machine-translation/)
211. **[Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings](https://md.research.elamur.ai/free/en/papers/guzman-2016-machine-translation-evaluation-arabic-morphologically/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Francisco Guzmán, Houda Bouamor, Ramy Baly, et al.*2016 · 12 citations*
212. **[Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection](https://md.research.elamur.ai/free/en/papers/huang-2018-disambiguating-false-alarm-hashtag-usages/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hen-Hsen Huang, Chiao-Chen Chen, Hsin-Hsi Chen*2018 · 11 citations*
213. [**Foreign English Accent Adjustment by Learning Phonetic Patterns arXiv:1807.03625**Fedor Kitashov, Elizaveta Svitanko, Debojyoti Dutta*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kitashov-2018-foreign-english-accent-adjustment-learning/)
214. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
215. **[An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2020-empirical-study-contextual-data-augmentation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, et al.*2020 · 9 citations*
216. **[Multi-level Gated Recurrent Neural Network for dialog act classification](https://md.research.elamur.ai/free/en/papers/li-2016-multi-level-gated-recurrent-neural/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wei Li, Yunfang Wu*2016 · 8 citations*
217. **[Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Elisa Gugliotta, Marco Dinarelli, Olivier Kraif*2020 · 7 citations*
218. **[Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation](https://md.research.elamur.ai/free/en/papers/mohiuddin-2019-adaptation-hierarchical-structured-models-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty*2019 · 7 citations*
219. [**A Neural Model for Part-of-Speech Tagging in Historical Texts**Christian Hardmeier*2016 · 7 citations*](https://md.research.elamur.ai/free/en/papers/hardmeier-2016-neural-model-part-speech-tagging/)
220. [**Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models arXiv:2405.03794**Dengyi Liu, Minghao Wang, Andrew G. Catlin*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-detecting-anti-semitic-hate-speech/)
221. **[Automatic Romanization of Arabic Bibliographic Records](https://md.research.elamur.ai/free/en/papers/eryani-2021-automatic-romanization-arabic-bibliographic-records/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fadhl Eryani, Nizar Habash*2021 · 6 citations*
222. **[Calibrate your listeners! Robust communication-based training for pragmatic speakers](https://md.research.elamur.ai/free/en/papers/wang-2021-calibrate-your-listeners-robust-communication/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rose Wang, Julia White, Jesse Mu, et al.*2021 · 5 citations*
223. [**Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks**Ori Terner, Kfir Bar, Nachum Dershowitz*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/terner-2020-transliteration-judeo-arabic-texts-into/)
224. **[Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic](https://md.research.elamur.ai/free/en/papers/fadel-2019-tha3aroon-nsurl-2019-task-8/) [International Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short Papers](https://md.research.elamur.ai/free/en/venues/nsurl/)**Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub*2019 · 4 citations*
225. **[Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?](https://md.research.elamur.ai/free/en/papers/parizi-2018-do-character-level-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ali Hakimi Parizi, Paul Cook*2018 · 4 citations*
226. **[TEDxTN: A Three-way Speech Translation Corpus for Code-Switched Tunisian Arabic - English](https://md.research.elamur.ai/free/en/papers/bougares-2025-tedxtn-three-way-speech-translation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fethi Bougares, Salima Mdhaffar, Haroun Elleuch, et al.*2025 · 3 citations*
227. [**Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-optimizing-neural-network-training-ocr/)
228. **[A Survey of Deep Learning for Geometry Problem Solving](https://md.research.elamur.ai/free/en/papers/ma-2026-survey-deep-learning-geometry-problem/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianzhe Ma, Wenxuan Wang, Qin Jin*2026 · 1 citation*
229. **[“AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays](https://md.research.elamur.ai/free/en/papers/rathva-2026-agi-team-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Harsh Rathva*2026 · 1 citation*
230. **[Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination Dialogues](https://md.research.elamur.ai/free/en/papers/francis-2024-who-did-you-blame-when/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maria Francis, Julius Steuer, Dietrich Klakow, et al.*2024 · 1 citation*
231. [**Automated detection of pronunciation errors in non-native English speech employing deep learning arXiv:2209.06265**Daniel Korzekwa*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/korzekwa-2022-automated-detection-pronunciation-errors-non/)
232. [**Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning arXiv:2205.09172**Fei Fang, Kunal Sinha, Noah D. Goodman, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/fang-2022-color-overmodification-emerges-data-driven/)
233. **[Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal*2021 · 1 citation*
234. [**Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech arXiv:2002.00205**Xu Li, Xixin Wu, Xunying Liu, et al.*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/li-2020-deep-segmental-phonetic-posterior-grams/)
235. **[AI4PC-Howard University at SemEval-2026 Task 2: Fine-Tuning DistilBERT, DeBERTa and ModernBERT for Valence–Arousal Prediction and Change Estimation](https://md.research.elamur.ai/free/en/papers/shah-2026-ai4pc-howard-university-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Araj Shah, Utsav Shah, Saurav Aryal*2026*
236. **[Exploring Sentiment Analysis Approaches in a Public Agency Security News Dataset](https://md.research.elamur.ai/free/en/papers/lobo-2026-exploring-sentiment-analysis-approaches-public/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Thiago Ruiz Lobo, Claudia Aparecida Martins*2026*
237. [**Leveraging Speech Acts for Low-Data and Cross-Domain Conversation Derailment Forecasting arXiv:2608.25359**Angela Yifei Yuan, Christine De Kock, Christopher Leckie*2026*](https://md.research.elamur.ai/free/en/papers/yuan-2026-leveraging-speech-acts-low-data/)
238. **[LLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/watanabe-2026-llm-based-zero-shot-soft/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ken Watanabe, Katsuhide Fujita*2026*
239. **[MedCPI: A Construct–Personalize–Integrate Framework for KG-enhanced Clinical Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-medcpi-construct-personalize-integrate-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Wang, Hang Dong, Lu Liu*2026*
240. **[Mimicking Neural Machine Translation History for Pedagogic Reasons](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/) [International Workshop on Teaching AI-Based Translation and Technologies](https://md.research.elamur.ai/free/en/venues/taitt/)**Vincent Vandeghinste*2026*
241. **[ShahiEmotion: A Benchmark Dataset for Punjabi Shahmukhi Emotion Detection](https://md.research.elamur.ai/free/en/papers/nawaz-2026-shahiemotion-benchmark-dataset-punjabi-shahmukhi/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Usman Nawaz, Muhammad Junaid Iqbal, Tahir Alyas, et al.*2026*
242. [**A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English Text arXiv:2506.16052**Devesh Kumar*2025*](https://md.research.elamur.ai/free/en/papers/kumar-2025-hybrid-deberta-gated-broad-learning/)
243. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*
244. [**A Sequence-to-Sequence Approach for Arabic Pronoun Resolution arXiv:2305.11529**Hanan S. Murayshid, Hafida Benhidour, Said Kerrache*2023*](https://md.research.elamur.ai/free/en/papers/murayshid-2023-sequence-sequence-approach-arabic-pronoun/)
245. [**Detecting Interrogative Utterances with Recurrent Neural Networks arXiv:1511.01042**Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla*2015*](https://md.research.elamur.ai/free/en/papers/chung-2015-detecting-interrogative-utterances-recurrent-neural/)

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