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# Who cites «chrF++: words helping character n-grams» · page 3

470 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2017-chrf-words-helping-character-n/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-5/)

1. [Augmented Language Models: a Survey](https://arxiv.org/abs/2302.07842) *— 2023 · arXiv:2302.07842*
2. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
3. [BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric](https://aclanthology.org/2023.acl-long.504/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation](https://arxiv.org/abs/2305.15011) *— 2023 · arXiv:2305.15011*
5. [Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation](https://aclanthology.org/2023.emnlp-main.605/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
6. [Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language](https://aclanthology.org/2023.cpss-1.5/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*
7. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
9. [Code-Switching with Word Senses for Pretraining in Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.859/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
10. [Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study](https://aclanthology.org/2023.findings-emnlp.11/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models](https://aclanthology.org/2023.emnlp-main.279/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
12. [Domain Terminology Integration into Machine Translation: Leveraging Large Language Models](https://aclanthology.org/2023.wmt-1.82/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
13. [Effects of sub-word segmentation on performance of transformer language models](https://aclanthology.org/2023.emnlp-main.459/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages](https://aclanthology.org/2023.eacl-main.111/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
15. [End-to-End Simultaneous Speech Translation with Differentiable Segmentation](https://aclanthology.org/2023.findings-acl.485/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
16. [Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task](https://aclanthology.org/2023.americasnlp-1.16/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
17. [Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models](https://aclanthology.org/2023.americasnlp-1.22/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
18. [Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory](https://aclanthology.org/2023.emnlp-main.676/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
19. [Evaluating Generative Models for Graph-to-Text Generation](https://aclanthology.org/2023.ranlp-1.133/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
20. [Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment](https://aclanthology.org/2023.nodalida-1.75/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
21. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation](https://aclanthology.org/2023.emnlp-main.42/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
23. [IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages](https://aclanthology.org/2023.acl-long.795/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
25. [Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation](https://aclanthology.org/2023.loresmt-1.7/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
26. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
27. [Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine](https://arxiv.org/abs/2301.08745) *— 2023 · arXiv:2301.08745*
28. [LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages](https://aclanthology.org/2023.emnlp-main.895/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
29. [MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages](https://arxiv.org/abs/2310.09765) *— 2023 · arXiv:2310.09765*
30. [MITRA-zh: An efficient, open machine translation solution for Buddhist Chinese](https://aclanthology.org/2023.nlp4dh-1.29/) *— 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages*
31. [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://aclanthology.org/2023.iwslt-1.12/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
32. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
33. [Machine Translation for Nko: Tools, Corpora, and Baseline Results](https://aclanthology.org/2023.wmt-1.34/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
34. [Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction](https://aclanthology.org/2023.americasnlp-1.13/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
35. [On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation](https://aclanthology.org/2023.genbench-1.17/) *— 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP*
36. [SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations](https://aclanthology.org/2023.findings-emnlp.574/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
37. [TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes](https://arxiv.org/abs/2311.10797) *— 2023 · arXiv:2311.10797*
38. [The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.6/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
39. [The Glass Ceiling of Automatic Evaluation in Natural Language Generation](https://aclanthology.org/2023.findings-ijcnlp.16/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
40. [The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models](https://aclanthology.org/2023.acl-demo.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
41. [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://aclanthology.org/2023.wmt-1.44/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
42. [Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance](https://aclanthology.org/2023.emnlp-main.836/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
44. [Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs](https://aclanthology.org/2023.mmnlg-1.5/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
45. [A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations](https://aclanthology.org/2022.findings-naacl.37/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
46. [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
47. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
48. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
49. [Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation](https://aclanthology.org/2022.eamt-1.15/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
50. [Cross-modal Contrastive Learning for Speech Translation](https://aclanthology.org/2022.naacl-main.376/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
51. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [Domain-Specific Text Generation for Machine Translation](https://aclanthology.org/2022.amta-research.2/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
53. [Enhancing the Transformer Decoder with Transition-based Syntax](https://aclanthology.org/2022.conll-1.27/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
54. [Every picture tells a story: Image-grounded controllable stylistic story generation](https://aclanthology.org/2022.latechclfl-1.6/) *— 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
55. [Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation](https://aclanthology.org/2022.gem-1.49/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
56. [Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages](https://aclanthology.org/2022.wmt-1.72/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
57. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation](https://aclanthology.org/2022.coling-1.527/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET](https://aclanthology.org/2022.aacl-main.83/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
62. [Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics](https://aclanthology.org/2022.findings-acl.14/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
63. [Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking](https://aclanthology.org/2022.lrec-1.226/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
64. [Multilingual Abstract Meaning Representation for Celtic Languages](https://aclanthology.org/2022.cltw-1.1/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
65. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
66. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
67. [Non-Autoregressive Neural Machine Translation: A Call for Clarity](https://aclanthology.org/2022.emnlp-main.179/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.754/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
69. [Text Characterization Toolkit (TCT)](https://aclanthology.org/2022.aacl-demo.9/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations*
70. [The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation](https://aclanthology.org/2022.tacl-1.30/) *— 2022*
71. [When does Parameter-Efficient Transfer Learning Work for Machine Translation?](https://aclanthology.org/2022.emnlp-main.540/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
72. [You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge](https://aclanthology.org/2022.findings-emnlp.75/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
73. [A Study of Morphological Robustness of Neural Machine Translation](https://aclanthology.org/2021.sigmorphon-1.6/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
74. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
75. [Better than Average: Paired Evaluation of NLP systems](https://aclanthology.org/2021.acl-long.179/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
76. [Element Intervention for Open Relation Extraction](https://aclanthology.org/2021.acl-long.361/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
77. [EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation](https://arxiv.org/abs/2111.00276) *— 2021 · arXiv:2111.00276*
78. [IndT5: A Text-to-Text Transformer for 10 Indigenous Languages](https://aclanthology.org/2021.americasnlp-1.30/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
79. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
80. [Latent Tree Decomposition Parsers for AMR-to-Text Generation](https://arxiv.org/abs/2108.12304) *— 2021 · arXiv:2108.12304*
81. [Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.textgraphs-1.2/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
82. [NICT Kyoto Submission for the WMT''21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection](https://aclanthology.org/2021.wmt-1.99/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
83. [Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)](https://aclanthology.org/2021.americasnlp-1.24/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
84. [Perturbation CheckLists for Evaluating NLG Evaluation Metrics](https://aclanthology.org/2021.emnlp-main.575/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
85. [Referenceless Parsing-Based Evaluation of AMR-to-English Generation](https://md.mova.elamur.ai/free/en/docs/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) *— our card · 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
86. [Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach](https://aclanthology.org/2021.emnlp-main.669/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
87. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
88. [Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months](https://aclanthology.org/2021.mtsummit-research.8/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
89. [The REPU CS' Spanish–Quechua Submission to the AmericasNLP 2021 Shared Task on Open Machine Translation](https://aclanthology.org/2021.americasnlp-1.27/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
90. [Tree Decomposition Attention for AMR-to-Text Generation](https://arxiv.org/abs/2108.12300) *— 2021 · arXiv:2108.12300*
91. [$\mathcalP^2$: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation](https://aclanthology.org/2020.webnlg-1.10/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
92. [A Human Evaluation of AMR-to-English Generation Systems](https://md.mova.elamur.ai/free/en/docs/papers/manning-2020-human-evaluation-amr-english-generation/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
93. [AMR-To-Text Generation with Graph Transformer](https://aclanthology.org/2020.tacl-1.2/) *— 2020 · Transactions of the Association for Computational Linguistics*
94. [An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing](https://aclanthology.org/2020.emnlp-main.577/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
95. [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://aclanthology.org/2020.emnlp-main.8/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
96. [COMET: A Neural Framework for MT Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/rei-2020-comet-neural-framework-mt-evaluation/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training](https://aclanthology.org/2020.webnlg-1.8/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
98. [GPT-too: A Language-Model-First Approach for AMR-to-Text Generation](https://aclanthology.org/2020.acl-main.167/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
99. [Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://aclanthology.org/2020.coling-main.181/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
100. [It''s not a Non-Issue: Negation as a Source of Error in Machine Translation](https://aclanthology.org/2020.findings-emnlp.345/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*

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