---
title: "Who cites Cliff Young — page 3 — 1,955 papers of our library"
description: "1955 papers of the Elamur Research library cite the works of Cliff Young, found in their bibliographies · page 3 of 4 · 201–300; the most cited first."
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---
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# Who cites Cliff Young

1,978 citations of their works from 1,955 papers of our library (of the 149,439 whose bibliographies we read) · 329 with a page here, the most cited first · page 3 of 4 · 201–300 · [← Cliff Young](https://md.research.elamur.ai/free/en/authors/cliff-young/)

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201. [**When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset arXiv:2104.08671**Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-pretraining-help-assessing-self-supervised/)
202. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation arXiv:2006.10369**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
203. [**Formal Mathematics Statement Curriculum Learning arXiv:2202.01344**Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/polu-2022-formal-mathematics-statement-curriculum-learning/)
204. **[Seq2Edits: Sequence Transduction Using Span-level Edit Operations](https://md.research.elamur.ai/free/en/papers/stahlberg-2020-seq2edits-sequence-transduction-using-span/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Felix Stahlberg, Shankar Kumar*2020 · 133 citations*
205. [**Scaling Up Models and Data with t5x and seqio arXiv:2203.17189**Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.*2022 · 130 citations*](https://md.research.elamur.ai/free/en/papers/roberts-2022-scaling-up-models-data-texttt/)
206. **[SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding](https://md.research.elamur.ai/free/en/papers/xu-2024-safedecoding-defending-against-jailbreak-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.*2024 · 127 citations*
207. [**Stance Detection Benchmark: How Robust Is Your Stance Detection? arXiv:2001.01565**Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych*2020 · 124 citations*](https://md.research.elamur.ai/free/en/papers/schiller-2020-stance-detection-benchmark-robust-stance/)
208. [**BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning arXiv:1810.08272**Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.*2018 · 123 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-boisvert-2018-babyai-platform-study-sample-efficiency/)
209. **[High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Markus Freitag, David Grangier, Qijun Tan, et al.*2022 · 121 citations*
210. **[DocNLI: A Large-scale Dataset for Document-level Natural Language Inference](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Yin, Dragomir Radev, Caiming Xiong*2021 · 121 citations*
211. **[Importance of Search and Evaluation Strategies in Neural Dialogue Modeling](https://md.research.elamur.ai/free/en/papers/kulikov-2019-importance-search-evaluation-strategies-neural/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Ilia Kulikov, Alexander Miller, Kyunghyun Cho, et al.*2019 · 121 citations*
212. **[Knowledge Enhanced Masked Language Model for Stance Detection](https://md.research.elamur.ai/free/en/papers/kawintiranon-2021-knowledge-enhanced-masked-language-model/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kornraphop Kawintiranon, Lisa Singh*2021 · 119 citations*
213. **[Neural Models of Text Normalization for Speech Applications](https://md.research.elamur.ai/free/en/papers/zhang-2019-neural-models-text-normalization-speech/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Hao Zhang, Richard Sproat, Axel H. Ng, et al.*2019 · 115 citations*
214. [**ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning arXiv:2111.10952**Vamsi Aribandi, Yi Tay, Tal Schuster, et al.*2021 · 114 citations*](https://md.research.elamur.ai/free/en/papers/aribandi-2021-ext5-towards-extreme-multi-task/)
215. **[Learning from Task Descriptions](https://md.research.elamur.ai/free/en/papers/weller-2020-learning-task-descriptions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orion Weller, Nicholas Lourie, Matt Gardner, et al.*2020 · 112 citations*
216. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*
217. **[CausaLM: Causal Model Explanation Through Counterfactual Language Models](https://md.research.elamur.ai/free/en/papers/feder-2021-causalm-causal-model-explanation-through/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Amir Feder, Nadav Oved, Uri Shalit, et al.*2021 · 107 citations*
218. **[An Empirical Study of Pre-trained Transformers for Arabic Information Extraction](https://md.research.elamur.ai/free/en/papers/lan-2020-empirical-study-pre-trained-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Yang Chen, Wei Xu, et al.*2020 · 107 citations*
219. [**DAPPLE: A Pipelined Data Parallel Approach for Training Large Models arXiv:2007.01045**Shiqing Fan, Yi Rong, Chen Meng, et al.*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fan-2020-dapple-pipelined-data-parallel-approach/)
220. **[Learning Language Specific Sub-network for Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/lin-2021-learning-language-specific-sub-network/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zehui Lin, Liwei Wu, Mingxuan Wang, et al.*2021 · 104 citations*
221. **[Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank](https://md.research.elamur.ai/free/en/papers/chau-2020-parsing-multilingual-bert-small-corpus/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ethan C. Chau, Lucy H. Lin, Noah A. Smith*2020 · 104 citations*
222. [**An Annotated Dataset of Coreference in English Literature**David Bamman, Olivia Lewke, Anya Mansoor*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2020-annotated-dataset-coreference-english-literature/)
223. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 103 citations*
224. [**Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words**Valentin, Hofmann*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-2021-superbizarre-derivational/)
225. **[Data-to-text Generation with Macro Planning](https://md.research.elamur.ai/free/en/papers/puduppully-2021-data-text-generation-macro-planning/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ratish Puduppully, Mirella Lapata*2021 · 98 citations*
226. [**Accelerating Sparse Deep Neural Networks arXiv 2021 (NVIDIA)**Asit Mishra, Jorge Albericio Latorre, Jeff Pool, et al.*2021 · 97 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2021-accelerating-sparse-deep-neural-networks/)
227. **[Dynamic Data Selection for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wees-2017-dynamic-data-selection-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marlies van der Wees, Arianna Bisazza, Christof Monz*2017 · 96 citations*
228. **[CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zeqiu Wu, Yi Luan, Hannah Rashkin, et al.*2022 · 95 citations*
229. [**Accelerating Distributed MoE Training and Inference with Lina arXiv:2210.17223**Jiamin Li, Yimin Jiang, Yibo Zhu, et al.*2022 · 92 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-accelerating-distributed-moe-training-inference/)
230. **[Pre-training on high-resource speech recognition improves low-resource speech-to-text translation](https://md.research.elamur.ai/free/en/papers/bansal-2019-pre-training-high-resource-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sameer Bansal, Herman Kamper, Karen Livescu, et al.*2019 · 91 citations*
231. **[hULMonA: The Universal Language Model in Arabic](https://md.research.elamur.ai/free/en/papers/eljundi-2019-hulmona-universal-language-model-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.*2019 · 89 citations*
232. [**Themis: Fair and Efficient GPU Cluster Scheduling arXiv:1907.01484**Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/mahajan-2019-themis-fair-efficient-gpu-cluster/)
233. **[Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?](https://md.research.elamur.ai/free/en/papers/tay-2023-scaling-laws-vs-model-architectures/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2023 · 86 citations*
234. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Zhengyuan Liu, Xin Huang, et al.*2024 · 85 citations*
235. **[Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2022-rainier-reinforced-knowledge-introspector-commonsense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.*2022 · 82 citations*
236. [**Large Language Models in Law: A Survey arXiv:2312.03718**Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-large-language-models-law-survey/)
237. [**Out-of-Distribution Detection and Selective Generation for Conditional Language Models arXiv:2209.15558**Jie Ren, Jiaming Luo, Yao Zhao, et al.*2022 · 80 citations*](https://md.research.elamur.ai/free/en/papers/ren-2022-out-distribution-detection-selective-generation/)
238. **[Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/kreutzer-2018-reliability-learnability-human-bandit-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Julia Kreutzer, Joshua Uyheng, Stefan Riezler*2018 · 73 citations*
239. [**Systematic Generalization: What Is Required and Can It Be Learned? arXiv:1811.12889**Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.*2018 · 73 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2018-systematic-generalization-required-learned/)
240. [**They, Them, Theirs: Rewriting with Gender-Neutral English arXiv:2102.06788**Tony Sun, Kellie Webster, Apu Shah, et al.*2021 · 72 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-they-them-theirs-rewriting-gender/)
241. **[Tokenization Is More Than Compression](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 70 citations*
242. [**Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning arXiv:2309.05444**Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)
243. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 69 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
244. **[How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in Context](https://md.research.elamur.ai/free/en/papers/lau-2020-how-furiously-can-colorless-green/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jey Han Lau, Carlos Armendariz, Shalom Lappin, et al.*2020 · 69 citations*
245. **[Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-is-neural-machine-translation-ready/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang*2016 · 67 citations*
246. **[RNNs can generate bounded hierarchical languages with optimal memory](https://md.research.elamur.ai/free/en/papers/hewitt-2020-rnns-can-generate-bounded-hierarchical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Hewitt, Michael Hahn, Surya Ganguli, et al.*2020 · 65 citations*
247. [**ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation arXiv:2112.12731**Shuohuan Wang, Yu Sun, Yang Xiang, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-ernie-3-0-titan/)
248. **[TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.*2023 · 60 citations*
249. **[Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://md.research.elamur.ai/free/en/papers/sellam-2020-learning-evaluate-translation-beyond-english/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Thibault Sellam, Amy Pu, Hyung Won Chung, et al.*2020 · 55 citations*
250. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
251. **[Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection](https://md.research.elamur.ai/free/en/papers/alturayeif-2022-mawqif-multi-label-arabic-dataset/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Nora Saleh Alturayeif, Hamzah Abdullah Luqman, Moataz Aly Kamaleldin Ahmed*2022 · 48 citations*
252. **[QAmeleon: Multilingual QA with Only 5 Examples](https://md.research.elamur.ai/free/en/papers/agrawal-2023-qameleon-multilingual-qa-only-5/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Priyanka Agrawal, Chris Alberti, Fantine Huot, et al.*2023 · 45 citations*
253. [**Understanding Catastrophic Forgetting in Language Models via Implicit Inference arXiv:2309.10105**Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/kotha-2023-understanding-catastrophic-forgetting-language-models/)
254. **[SLING: Sino Linguistic Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/song-2022-sling-sino-linguistic-evaluation-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, et al.*2022 · 41 citations*
255. [**DziriBERT: a Pre-trained Language Model for the Algerian Dialect arXiv:2109.12346**Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, et al.*2021 · 38 citations*](https://md.research.elamur.ai/free/en/papers/abdaoui-2021-dziribert-pre-trained-language-model/)
256. **[Multilingual Neural RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhengyuan Liu, Ke Shi, Nancy Chen*2020 · 37 citations*
257. [**MambaByte: Token-free Selective State Space Model arXiv:2401.13660**Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.*2024 · 35 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/)
258. [**Guiding attention in Sequence-to-sequence models for Dialogue Act prediction AAAI 2020**Pierre Colombo, Emile Chapuis, Matteo Manica, et al.*2020 · 34 citations*](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/)
259. [**MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods arXiv:2309.10966**Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/)
260. [**ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages arXiv:2212.06742**Yekun Chai, Shuohuan Wang, Chao Pang, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/chai-2022-ernie-code-english-centric/)
261. [**Step-Audio 2 Technical Report arXiv:2507.16632**Boyong Wu, Chao Yan, Chen Hu, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-step-audio-2-technical/)
262. **[UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling](https://md.research.elamur.ai/free/en/papers/ustun-2022-udapter-typology-based-language-adapters/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ahmet Üstün, Arianna Bisazza, Gosse Bouma, et al.*2022 · 31 citations*
263. [**Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach**Koren Lazar, Benny Saret, Asaf Yehudai, et al.*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lazar-2021-filling-gaps-ancient-akkadian-texts/)
264. **[BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations](https://md.research.elamur.ai/free/en/papers/soler-2020-bert-knows-punta-cana-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aina Garí Soler, Marianna Apidianaki*2020 · 30 citations*
265. **[TED-Q: TED Talks and the Questions they Evoke](https://md.research.elamur.ai/free/en/papers/westera-2020-ted-q-ted-talks-questions/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matthijs Westera, Laia Mayol, Hannah Rohde*2020 · 29 citations*
266. **[Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 27 citations*
267. **[Morphosyntactic probing of multilingual BERT models](https://md.research.elamur.ai/free/en/papers/acs-2023-morphosyntactic-probing-multilingual-bert-models/) [Natural Language Engineering](https://md.research.elamur.ai/free/en/venues/natural-language-engineering/)**Judit Acs, Endre Hamerlik, Roy Schwartz, et al.*2023 · 26 citations*
268. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
269. [**Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging**Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)
270. **[Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions](https://md.research.elamur.ai/free/en/papers/zeng-2022-getting-bart-ride-idiomatic-train/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ziheng Zeng, Suma Bhat*2022 · 25 citations*
271. [**Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation arXiv:2303.15265**Alex Jones, Isaac Caswell, Ishank Saxena, et al.*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/jones-2023-bilex-rx-lexical-data-augmentation/)
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280. [**Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition arXiv:2003.06044**Zhigang Dai, Jinhua Fu, Qile Zhu, et al.*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-local-contextual-attention-hierarchical-structure/)
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