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# Who cites «PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification»

158 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/pavlick-2015-ppdb-2-0-better-paraphrase/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2015-ppdb-2-0-better-paraphrase-2/)

1. [Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World](https://aclanthology.org/2026.findings-acl.1796/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
2. [Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment](https://aclanthology.org/2026.slide-1.14/) *— 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)*
3. [Learning to Substitute Words with Model-based Score Ranking](https://aclanthology.org/2025.naacl-long.576/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
4. [PAM: Paraphrase AMR-Centric Evaluation Metric](https://aclanthology.org/2025.findings-acl.879/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
5. [Paraphrase-based Contrastive Learning for Sentence Pair Modeling](https://aclanthology.org/2025.naacl-srw.39/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
6. [Controllable Paraphrase Generation for Semantic and Lexical Similarities](https://aclanthology.org/2024.lrec-main.348/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping](https://aclanthology.org/2024.wassa-1.53/) *— 2024 · Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
8. [Learning High-Quality and General-Purpose Phrase Representations](https://aclanthology.org/2024.findings-eacl.66/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
9. [Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics](https://aclanthology.org/2024.lrec-main.1141/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [Semantics of Multiword Expressions in Transformer-Based Models: A Survey](https://aclanthology.org/2024.tacl-1.33/) *— 2024*
11. [Task-Oriented Paraphrase Analytics](https://aclanthology.org/2024.lrec-main.1360/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [AugGPT: Leveraging ChatGPT for Text Data Augmentation](https://arxiv.org/abs/2302.13007) *— 2023 · arXiv:2302.13007*
13. [CREPE: Open-Domain Question Answering with False Presuppositions](https://md.mova.elamur.ai/free/en/docs/papers/yu-2023-crepe-open-domain-question-answering/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising](https://arxiv.org/abs/2302.02780) *— 2023 · arXiv:2302.02780*
15. [Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation](https://arxiv.org/abs/2301.02275) *— 2023 · arXiv:2301.02275*
16. [MMT's Submission for the WMT 2023 Quality Estimation Shared Task](https://aclanthology.org/2023.wmt-1.75/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
17. [Multilingual Lexical Simplification via Paraphrase Generation](https://arxiv.org/abs/2307.15286) *— 2023 · arXiv:2307.15286 · ECAI 2023*
18. [ParaLS: Lexical Substitution via Pretrained Paraphraser](https://aclanthology.org/2023.acl-long.206/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search](https://aclanthology.org/2023.eacl-main.1/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
20. [Smart Word Suggestions for Writing Assistance](https://aclanthology.org/2023.findings-acl.712/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
21. [Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap](https://aclanthology.org/2023.starsem-1.24/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
22. [AMR-DA: Data Augmentation by Abstract Meaning Representation](https://aclanthology.org/2022.findings-acl.244/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
23. [Divide-and-Conquer Text Simplification by Scalable Data Enhancement](https://aclanthology.org/2022.tsar-1.15/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
24. [Entailment Graph Learning with Textual Entailment and Soft Transitivity](https://aclanthology.org/2022.acl-long.406/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [How Large Language Models are Transforming Machine-Paraphrase Plagiarism](https://aclanthology.org/2022.emnlp-main.62/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
26. [Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.13/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
27. [MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases](https://aclanthology.org/2022.lrec-1.176/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
28. [McPhraSy: Multi-Context Phrase Similarity and Clustering](https://aclanthology.org/2022.findings-emnlp.259/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
29. [Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification](https://aclanthology.org/2022.emnlp-main.411/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
30. [On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation](https://aclanthology.org/2022.conll-1.14/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
31. [Paraphrasing, textual entailment, and semantic similarity above word level](https://arxiv.org/abs/2208.05387) *— 2022 · arXiv:2208.05387*
32. [ProoFVer: Natural Logic Theorem Proving for Fact Verification](https://aclanthology.org/2022.tacl-1.59/) *— 2022 · Transactions of the Association for Computational Linguistics*
33. [UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining](https://aclanthology.org/2022.acl-long.426/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Using Paraphrases to Study Properties of Contextual Embeddings](https://aclanthology.org/2022.naacl-main.338/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
35. [A Survey of Data Augmentation Approaches for NLP](https://arxiv.org/abs/2105.03075) *— 2021 · arXiv:2105.03075*
36. [A Unified Feature Representation for Lexical Connotations](https://aclanthology.org/2021.eacl-main.184/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
37. [Automatic Data Acquisition for Event Coreference Resolution](https://aclanthology.org/2021.eacl-main.101/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
38. [BiSECT: Learning to Split and Rephrase Sentences with Bitexts](https://aclanthology.org/2021.emnlp-main.500/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
39. [Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability](https://aclanthology.org/2021.acl-long.96/) *— 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)*
40. [Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders](https://aclanthology.org/2021.emnlp-main.109/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
41. [Improving Paraphrase Detection with the Adversarial Paraphrasing Task](https://aclanthology.org/2021.acl-long.552/) *— 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)*
42. [Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs](https://aclanthology.org/2021.mrl-1.15/) *— 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning*
43. [Language Models for Lexical Inference in Context](https://aclanthology.org/2021.eacl-main.108/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
44. [Let''s Play Mono-Poly: BERT Can Reveal Words'' Polysemy Level and Partitionability into Senses](https://aclanthology.org/2021.tacl-1.50/) *— 2021 · Transactions of the Association for Computational Linguistics*
45. [Multivalent Entailment Graphs for Question Answering](https://aclanthology.org/2021.emnlp-main.840/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
46. [Neural-Driven Search-Based Paraphrase Generation](https://aclanthology.org/2021.eacl-main.180/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
47. [On the Interplay Between Fine-tuning and Composition in Transformers](https://aclanthology.org/2021.findings-acl.201/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
48. [Open Knowledge Graphs Canonicalization using Variational Autoencoders](https://aclanthology.org/2021.emnlp-main.811/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
49. [ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair](https://aclanthology.org/2021.paclic-1.56/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
50. [ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation](https://aclanthology.org/2021.eacl-main.33/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
51. [Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration](https://aclanthology.org/2021.emnlp-main.846/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
52. [Substructure Substitution: Structured Data Augmentation for NLP](https://aclanthology.org/2021.findings-acl.307/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
53. [Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality](https://aclanthology.org/2021.naacl-main.345/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [A little goes a long way: Improving toxic language classification despite data scarcity](https://aclanthology.org/2020.findings-emnlp.269/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
55. [Assessing Phrasal Representation and Composition in Transformers](https://aclanthology.org/2020.emnlp-main.397/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
56. [Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System](https://aclanthology.org/2020.lrec-1.722/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
57. [Automatically Ranked Russian Paraphrase Corpus for Text Generation](https://aclanthology.org/2020.ngt-1.6/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
58. [BERT Knows Punta Cana is not just beautiful, it''s gorgeous: Ranking Scalar Adjectives with Contextualised Representations](https://aclanthology.org/2020.emnlp-main.598/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
59. [BERT-Based Simplification of Japanese Sentence-Ending Predicates in Descriptive Text](https://aclanthology.org/2020.inlg-1.31/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
60. [Controllable Sentence Simplification](https://aclanthology.org/2020.lrec-1.577/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
61. [Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media](https://aclanthology.org/2020.findings-emnlp.151/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
62. [Learning Lexical Subspaces in a Distributional Vector Space](https://aclanthology.org/2020.tacl-1.21/) *— 2020 · Transactions of the Association for Computational Linguistics*
63. [MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning](https://aclanthology.org/2020.semeval-1.18/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
64. [Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases](https://arxiv.org/abs/2009.11564) *— 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)*
65. [Neural Syntactic Preordering for Controlled Paraphrase Generation](https://aclanthology.org/2020.acl-main.22/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
66. [Paraphrase Augmented Task-Oriented Dialog Generation](https://aclanthology.org/2020.acl-main.60/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
67. [Paraphrase Generation with Latent Bag of Words](https://arxiv.org/abs/2001.01941) *— 2020 · arXiv:2001.01941*
68. [Simultaneous Translation and Paraphrase for Language Education](https://aclanthology.org/2020.ngt-1.28/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
69. [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://aclanthology.org/2020.lrec-1.848/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
70. [Teaching Machine Comprehension with Compositional Explanations](https://aclanthology.org/2020.findings-emnlp.145/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
71. [Word Complexity Estimation for Japanese Lexical Simplification](https://aclanthology.org/2020.lrec-1.381/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
72. [A Comparison of Context-sensitive Models for Lexical Substitution](https://aclanthology.org/W19-0423/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
73. [A Paraphrase Generation System for EHR Question Answering](https://aclanthology.org/W19-5003/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
74. [CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information](https://arxiv.org/abs/1902.00172) *— 2019 · arXiv:1902.00172 · International World Wide Web Conferences Steering Committee 2018*
75. [Effective writing style imitation via combinatorial paraphrasing](https://arxiv.org/abs/1905.13464) *— 2019 · arXiv:1905.13464*
76. [Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs](https://aclanthology.org/D19-5307/) *— 2019 · Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)*
77. [Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template](https://aclanthology.org/D19-5514/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
78. [Graph-Based Semi-Supervised Learning for Natural Language Understanding](https://aclanthology.org/D19-5318/) *— 2019 · Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)*
79. [Improving the Robustness of Question Answering Systems to Question Paraphrasing](https://aclanthology.org/P19-1610/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
80. [Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks](https://aclanthology.org/P19-1320/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
81. [LIMSI-MULTISEM at the IJCAI SemDeep-5 WiC Challenge: Context Representations for Word Usage Similarity Estimation](https://aclanthology.org/W19-5802/) *— 2019 · Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)*
82. [Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering](https://aclanthology.org/K19-1005/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
83. [Meteor++ 2.0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation](https://aclanthology.org/W19-5357/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
84. [Multilingual Whispers: Generating Paraphrases with Translation](https://aclanthology.org/D19-5503/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
85. [Negative Lexically Constrained Decoding for Paraphrase Generation](https://aclanthology.org/P19-1607/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
86. [ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation](https://arxiv.org/abs/1901.03644) *— 2019 · arXiv:1901.03644*
87. [Paraphrase-Sense-Tagged Sentences](https://aclanthology.org/Q19-1045/) *— 2019 · Transactions of the Association for Computational Linguistics*
88. [Personalized Substitution Ranking for Lexical Simplification](https://aclanthology.org/W19-8634/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
89. [Relational Word Embeddings](https://aclanthology.org/P19-1318/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
90. [Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach](https://aclanthology.org/D19-1087/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
91. [SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/schmitt-2019-sherliic-typed-event-focused-lexical/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
92. [Using Similarity Measures to Select Pretraining Data for NER](https://aclanthology.org/N19-1149/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
93. [A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification](https://aclanthology.org/D18-1410/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
94. [Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion](https://aclanthology.org/C18-1102/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
95. [AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples](https://aclanthology.org/P18-1225/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models](https://aclanthology.org/K18-1047/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
97. [Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation](https://aclanthology.org/N18-2077/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
98. [D-PAGE: Diverse Paraphrase Generation](https://arxiv.org/abs/1808.04364) *— 2018 · arXiv:1808.04364*
99. [DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors](https://aclanthology.org/N18-1072/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
100. [Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing](https://aclanthology.org/D18-2009/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*

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