Who cites «PPDB: The Paraphrase Database»
- Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment — 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
- Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- UniSD: Towards a Unified Self-Distillation Framework for Large Language Models — 2026 · arXiv:2605.06597
- Analyzing the Effect of Linguistic Instructions on Paraphrase Generation — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
- PAM: Paraphrase AMR-Centric Evaluation Metric — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models — 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)
- BnPC: A Gold Standard Corpus for Paraphrase Detection in Bangla, and its Evaluation — 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024
- Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping — 2024 · Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion — 2024 · arXiv:2410.21637
- Neural paraphrasing by automatically crawled and aligned sentence pairs — 2024 · arXiv:2402.10558 · Proceedings of The 6th International Conference on Social Networks Analysis, Management and Security (SNAMS 2019)
- Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation — 2024 · arXiv:2404.12596
- Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Task-Oriented Paraphrase Analytics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- The Power of Summary-Source Alignments — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Zero-Shot Fact Verification via Natural Logic and Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- CASM - Context and Something More in Lexical Simplification — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- CREPE: Open-Domain Question Answering with False Presuppositions — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation — 2023 · Computational Linguistics
- Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
- Lexical Simplification using multi level and modular approach — 2023 · arXiv:2302.01823
- Multilingual Controllable Transformer-Based Lexical Simplification — 2023 · arXiv:2307.02120
- Multilingual Lexical Simplification via Paraphrase Generation — 2023 · arXiv:2307.15286 · ECAI 2023
- ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- ParaLS: Lexical Substitution via Pretrained Paraphraser — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Paraphrase Acquisition from Image Captions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- QA-NatVer: Question Answering for Natural Logic-based Fact Verification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Representation of Lexical Stylistic Features in Language Models' Embedding Space — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
- The Trickle-down Impact of Reward (In-)consistency on RLHF — 2023 · arXiv:2309.16155
- WebIE: Faithful and Robust Information Extraction on the Web — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- What Makes a Good Paraphrase: Do Automated Evaluations Work? — 2023 · arXiv:2307.14818
- APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Aligning Sentences in a Paragraph-Paraphrased Corpus with New Embedding-based Similarity Measures — 2022 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 27, Number 2, December 2022
- Competition-Level Code Generation with AlphaCode — 2022 · arXiv:2203.07814
- Cross-lingual Inference with A Chinese Entailment Graph — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- Design Challenges for a Multi-Perspective Search Engine — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Entailment Relation Aware Paraphrase Generation — 2022 · arXiv:2203.10483
- Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
- GenIE: Generative Information Extraction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions — 2022 · Transactions of the Association for Computational Linguistics
- Improving Large-scale Paraphrase Acquisition and Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system — 2022 · arXiv:2206.02737
- Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus? — 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
- Language Models Are Poor Learners of Directional Inference — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Modeling Information Change in Science Communication with Semantically Matched Paraphrases — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Paraphrase Generation as Unsupervised Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Paraphrasing, textual entailment, and semantic similarity above word level — 2022 · arXiv:2208.05387
- Practical Attacks on Machine Translation using Paraphrase — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- ProoFVer: Natural Logic Theorem Proving for Fact Verification — 2022 · Transactions of the Association for Computational Linguistics
- Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Using Paraphrases to Study Properties of Contextual Embeddings — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- teamPN at TSAR-2022 Shared Task: Lexical Simplification using Multi-Level and Modular Approach — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
- Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels — 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)
- Automatic Data Acquisition for Event Coreference Resolution — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- BiSECT: Learning to Split and Rephrase Sentences with Bitexts — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI — 2021 · Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
- Extracting and filtering paraphrases by bridging natural language inference and paraphrasing — 2021 · arXiv:2111.07119
- Factorising Meaning and Form for Intent-Preserving Paraphrasing — 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)
- Idiomatic Expression Identification using Semantic Compatibility — 2021
- Improving Paraphrase Detection with the Adversarial Paraphrasing Task — 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)
- Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs — 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning
- Iterative Paraphrastic Augmentation with Discriminative Span Alignment — 2021 · Transactions of the Association for Computational Linguistics
- LexFit: Lexical Fine-Tuning of Pretrained Language Models — 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)
- Neural-Driven Search-Based Paraphrase Generation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- On Classifying whether Two Texts are on the Same Side of an Argument — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- On the Interplay Between Fine-tuning and Composition in Transformers — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
- Paraphrase Generation: A Survey of the State of the Art — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Set Generation Networks for End-to-End Knowledge Base Population — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Sister Help: Data Augmentation for Frame-Semantic Role Labeling — 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
- The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification — 2021 · Computational Linguistics
- A Bilingual Generative Transformer for Semantic Sentence Embedding — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- A little goes a long way: Improving toxic language classification despite data scarcity — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Assessing Phrasal Representation and Composition in Transformers — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- BLEURT: Learning Robust Metrics for Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- CUT: Controllable Unsupervised Text Simplification — 2020 · arXiv:2012.01936
- Data and Representation for Turkish Natural Language Inference — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Data-Driven Sentence Simplification: Survey and Benchmark — 2020 · Computational Linguistics
- Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Delexicalized Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
- Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Exemplar-Controllable Paraphrasing and Translation using Bitext — 2020 · arXiv:2010.05856
- FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection — 2020 · Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
- Good-Enough Compositional Data Augmentation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Learning Lexical Subspaces in a Distributional Vector Space — 2020 · Transactions of the Association for Computational Linguistics
- Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference — 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics
- LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items — 2020 · Computational Linguistics
- Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
- Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language — 2020 · Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
- MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
- Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases — 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)
- Multi-Word Lexical Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
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