---
title: "Who cites PPDB: The Paraphrase Database"
description: "The papers of the Elamur Research library that cite «PPDB: The Paraphrase Database», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [PPDB: The Paraphrase Database](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/) / cited by

# Who cites «PPDB: The Paraphrase Database»

351 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/cited-by/page/4/)

1. [Assessing Logical Coherence of LLMs via Fine-Grained NLI](https://aclanthology.org/2026.lrec-1.423/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
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. [Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement](https://aclanthology.org/2026.acl-long.783/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [UniSD: Towards a Unified Self-Distillation Framework for Large Language Models](https://arxiv.org/abs/2605.06597) *— 2026 · arXiv:2605.06597*
5. [Analyzing the Effect of Linguistic Instructions on Paraphrase Generation](https://aclanthology.org/2025.nodalida-1.75/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
6. [Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?](https://arxiv.org/abs/2506.04575) *— 2025 · arXiv:2506.04575*
7. [Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings](https://aclanthology.org/2025.coling-main.429/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
8. [PAM: Paraphrase AMR-Centric Evaluation Metric](https://aclanthology.org/2025.findings-acl.879/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
9. [PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models](https://aclanthology.org/2025.coling-main.585/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
10. [The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research](https://aclanthology.org/2025.acl-long.1534/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models](https://aclanthology.org/2025.naacl-long.311/) *— 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)*
12. [BnPC: A Gold Standard Corpus for Paraphrase Detection in Bangla, and its Evaluation](https://aclanthology.org/2024.bucc-1.8/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
13. [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*
14. [Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction](https://aclanthology.org/2024.emnlp-main.548/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
15. [Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion](https://arxiv.org/abs/2410.21637) *— 2024 · arXiv:2410.21637*
16. [Neural paraphrasing by automatically crawled and aligned sentence pairs](https://arxiv.org/abs/2402.10558) *— 2024 · arXiv:2402.10558 · Proceedings of The 6th International Conference on Social Networks Analysis, Management and Security (SNAMS 2019)*
17. [Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation](https://arxiv.org/abs/2404.12596) *— 2024 · arXiv:2404.12596*
18. [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)*
19. [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)*
20. [The Power of Summary-Source Alignments](https://aclanthology.org/2024.findings-acl.389/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
21. [Zero-Shot Fact Verification via Natural Logic and Large Language Models](https://aclanthology.org/2024.findings-emnlp.991/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
22. [Analyzing Challenges in Neural Machine Translation for Software Localization](https://aclanthology.org/2023.eacl-main.179/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
23. [CASM - Context and Something More in Lexical Simplification](https://aclanthology.org/2023.icon-1.46/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
24. [CREPE: Open-Domain Question Answering with False Presuppositions](https://md.research.elamur.ai/free/en/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)*
25. [From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://aclanthology.org/2023.cl-2.7/) *— 2023 · Computational Linguistics*
26. [Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens](https://aclanthology.org/2023.starsem-1.29/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
27. [Lexical Simplification using multi level and modular approach](https://arxiv.org/abs/2302.01823) *— 2023 · arXiv:2302.01823*
28. [Multilingual Controllable Transformer-Based Lexical Simplification](https://arxiv.org/abs/2307.02120) *— 2023 · arXiv:2307.02120*
29. [Multilingual Lexical Simplification via Paraphrase Generation](https://arxiv.org/abs/2307.15286) *— 2023 · arXiv:2307.15286 · ECAI 2023*
30. [ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [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)*
32. [Paraphrase Acquisition from Image Captions](https://aclanthology.org/2023.eacl-main.243/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
33. [PhraseSumm: Abstractive Short Phrase Summarization](https://aclanthology.org/2023.findings-ijcnlp.8/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
34. [QA-NatVer: Question Answering for Natural Logic-based Fact Verification](https://aclanthology.org/2023.emnlp-main.521/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
35. [Representation of Lexical Stylistic Features in Language Models' Embedding Space](https://aclanthology.org/2023.starsem-1.32/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
36. [The Proof is in the Pudding: Using Automated Theorem Proving to Generate Cooking Recipes](https://aclanthology.org/2023.jlcl-2.2/) *— 2023 · Journal for Language Technology and Computational Linguistics, Vol. 36 No. 2*
37. [The Trickle-down Impact of Reward (In-)consistency on RLHF](https://arxiv.org/abs/2309.16155) *— 2023 · arXiv:2309.16155*
38. [WebIE: Faithful and Robust Information Extraction on the Web](https://aclanthology.org/2023.acl-long.428/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [What Makes a Good Paraphrase: Do Automated Evaluations Work?](https://arxiv.org/abs/2307.14818) *— 2023 · arXiv:2307.14818*
40. [APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations](https://aclanthology.org/2022.coling-1.530/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
41. [Aligning Sentences in a Paragraph-Paraphrased Corpus with New Embedding-based Similarity Measures](https://aclanthology.org/2022.ijclclp-2.1/) *— 2022 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 27, Number 2, December 2022*
42. [Competition-Level Code Generation with AlphaCode](https://arxiv.org/abs/2203.07814) *— 2022 · arXiv:2203.07814*
43. [Conciseness: An Overlooked Language Task](https://aclanthology.org/2022.tsar-1.5/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
44. [Cross-lingual Inference with A Chinese Entailment Graph](https://aclanthology.org/2022.findings-acl.96/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
45. [Design Challenges for a Multi-Perspective Search Engine](https://aclanthology.org/2022.findings-naacl.22/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
46. [Entailment Relation Aware Paraphrase Generation](https://arxiv.org/abs/2203.10483) *— 2022 · arXiv:2203.10483*
47. [Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification](https://aclanthology.org/2022.tsar-1.31/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
48. [GenIE: Generative Information Extraction](https://aclanthology.org/2022.naacl-main.342/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
49. [Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions](https://aclanthology.org/2022.tacl-1.65/) *— 2022 · Transactions of the Association for Computational Linguistics*
50. [Implicit Relation Linking for Question Answering over Knowledge Graph](https://aclanthology.org/2022.findings-acl.312/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
51. [Improving Large-scale Paraphrase Acquisition and Generation](https://aclanthology.org/2022.emnlp-main.631/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system](https://arxiv.org/abs/2206.02737) *— 2022 · arXiv:2206.02737*
53. [Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus?](https://aclanthology.org/2022.rocling-1.7/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
54. [Language Models Are Poor Learners of Directional Inference](https://aclanthology.org/2022.findings-emnlp.64/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
55. [Modeling Information Change in Science Communication with Semantically Matched Paraphrases](https://aclanthology.org/2022.emnlp-main.117/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
56. [Paraphrase Generation as Unsupervised Machine Translation](https://aclanthology.org/2022.coling-1.555/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
57. [Paraphrasing, textual entailment, and semantic similarity above word level](https://arxiv.org/abs/2208.05387) *— 2022 · arXiv:2208.05387*
58. [Practical Attacks on Machine Translation using Paraphrase](https://aclanthology.org/2022.amta-research.17/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
59. [ProoFVer: Natural Logic Theorem Proving for Fact Verification](https://aclanthology.org/2022.tacl-1.59/) *— 2022 · Transactions of the Association for Computational Linguistics*
60. [Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect](https://aclanthology.org/2022.coling-1.190/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification](https://aclanthology.org/2022.lrec-1.610/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
62. [Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders](https://aclanthology.org/2022.coling-1.361/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
63. [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*
64. [teamPN at TSAR-2022 Shared Task: Lexical Simplification using Multi-Level and Modular Approach](https://aclanthology.org/2022.tsar-1.26/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
65. [Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels](https://aclanthology.org/2021.acl-long.212/) *— 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)*
66. [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*
67. [Automatic Text Simplification for Social Good: Progress and Challenges](https://aclanthology.org/2021.findings-acl.233/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
68. [Benchmarking Meta-embeddings: What Works and What Does Not](https://aclanthology.org/2021.findings-emnlp.333/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
69. [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*
70. [Casting the Same Sentiment Classification Problem](https://aclanthology.org/2021.findings-emnlp.53/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
71. [Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase](https://aclanthology.org/2021.eacl-main.159/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
72. [Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering](https://aclanthology.org/2021.emnlp-main.512/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
73. [Distilling Word Meaning in Context from Pre-trained Language Models](https://aclanthology.org/2021.findings-emnlp.49/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
74. [ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI](https://aclanthology.org/2021.deelio-1.7/) *— 2021 · Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
75. [Extracting and filtering paraphrases by bridging natural language inference and paraphrasing](https://arxiv.org/abs/2111.07119) *— 2021 · arXiv:2111.07119*
76. [Factorising Meaning and Form for Intent-Preserving Paraphrasing](https://aclanthology.org/2021.acl-long.112/) *— 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. [Idiomatic Expression Identification using Semantic Compatibility](https://aclanthology.org/2021.tacl-1.92/) *— 2021*
78. [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)*
79. [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*
80. [Iterative Paraphrastic Augmentation with Discriminative Span Alignment](https://aclanthology.org/2021.tacl-1.30/) *— 2021 · Transactions of the Association for Computational Linguistics*
81. [LexFit: Lexical Fine-Tuning of Pretrained Language Models](https://aclanthology.org/2021.acl-long.410/) *— 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)*
82. [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*
83. [On Classifying whether Two Texts are on the Same Side of an Argument](https://aclanthology.org/2021.emnlp-main.795/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
84. [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*
85. [PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing](https://aclanthology.org/2021.mwe-1.5/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
86. [Paraphrase Generation: A Survey of the State of the Art](https://aclanthology.org/2021.emnlp-main.414/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
87. [Perceptual Models of Machine-Edited Text](https://aclanthology.org/2021.findings-acl.342/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
88. [Set Generation Networks for End-to-End Knowledge Base Population](https://aclanthology.org/2021.emnlp-main.760/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
89. [Sister Help: Data Augmentation for Frame-Semantic Role Labeling](https://aclanthology.org/2021.law-1.8/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
90. [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://aclanthology.org/2021.cl-4.28/) *— 2021 · Computational Linguistics*
91. [A Bilingual Generative Transformer for Semantic Sentence Embedding](https://aclanthology.org/2020.emnlp-main.122/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
92. [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*
93. [Analyzing Word Embedding Through Structural Equation Modeling](https://aclanthology.org/2020.lrec-1.225/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
94. [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)*
95. [AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data](https://aclanthology.org/2020.emnlp-main.31/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
96. [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)*
97. [BLEURT: Learning Robust Metrics for Text Generation](https://aclanthology.org/2020.acl-main.704/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
98. [Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques](https://aclanthology.org/2020.lrec-1.496/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
99. [CUT: Controllable Unsupervised Text Simplification](https://arxiv.org/abs/2012.01936) *— 2020 · arXiv:2012.01936*
100. [Data and Representation for Turkish Natural Language Inference](https://aclanthology.org/2020.emnlp-main.662/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*

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