Paraphrase Identification

The goal of Paraphrase Identification is to determine whether a pair of sentences have the same meaning.

Source: Adversarial Examples with Difficult Common Words for Paraphrase Identification

Image source: On Paraphrase Identification Corpora

Papers

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Showing 151–172 of 172 papers

Title	Date	Tasks	Status
Sentence Alignment using Unfolding Recursive Autoencoders	Aug 1, 2017	Information RetrievalMachine Translation	—Unverified
Combining Shallow and Deep Representations for Text-Pair Classification	Dec 1, 2021	ClassificationDecoder	—Unverified
Robustness to Modification with Shared Words in Paraphrase Identification	Sep 5, 2019	Language ModelingLanguage Modelling	—Unverified
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models	Aug 15, 2021	Paraphrase Identification	—Unverified
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
Evaluating the Effectiveness of Linguistic Knowledge in Pretrained Language Models: A Case Study of Universal Dependencies	Jun 5, 2025	Paraphrase Identification	—Unverified
Experiments on Paraphrase Identification Using Quora Question Pairs Dataset	Jun 4, 2020	Binary ClassificationParaphrase Identification	—Unverified
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases	Feb 28, 2023	Adversarial RobustnessNatural Language Inference	—Unverified
Explaining Predictive Uncertainty by Looking Back at Model Explanations	Jan 11, 2022	Decision MakingNatural Language Inference	—Unverified
Exploiting Sentence Similarities for Better Alignments	Nov 1, 2016	Natural Language InferenceParaphrase Identification	—Unverified
Cell-aware Stacked LSTMs for Modeling Sentences	Sep 7, 2018	Machine TranslationNatural Language Inference	—Unverified
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings	Jun 1, 2016	Cross-Lingual Semantic Textual SimilarityMachine Translation	—Unverified
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling	Nov 1, 2019	Information RetrievalParaphrase Identification	—Unverified
SPADE: Evaluation Dataset for Monolingual Phrase Alignment	May 1, 2018	Machine TranslationParaphrase Identification	—Unverified
HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features	Jun 1, 2015	Paraphrase IdentificationSemantic Textual Similarity	—Unverified
How much pretraining data do language models need to learn syntax?	Sep 7, 2021	Dependency ParsingParaphrase Identification	—Unverified
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching	Jun 4, 2019	DecoderNatural Language Inference	—Unverified
Improving Large-scale Paraphrase Acquisition and Generation	Oct 6, 2022	Language ModelingLanguage Modelling	—Unverified
Twitter Paraphrase Identification with Simple Overlap Features and SVMs	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
BnPC: A Corpus for Paraphrase Detection in Bangla	Dec 17, 2021	Paraphrase IdentificationSentence	—Unverified
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification	Jul 22, 2020	Community Question AnsweringParaphrase Identification	—Unverified

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All datasets Quora Question Pairs MSRP Quora Question Pairs Dev 2017_test set AP IMDb PIT Translated SNLI Dataset in Marathi TURL WikiHop Yelp

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	BERT-Base	Direct Intrinsic Dimension	9,295	—	Unverified
2	data2vec	Accuracy	92.4	—	Unverified
3	SMART-BERT	Dev Accuracy	91.5	—	Unverified
4	ALICE	F1	90.7	—	Unverified
5	MFAE	Accuracy	90.54	—	Unverified
6	RoBERTa-large 355M + Entailment as Few-shot Learner	F1	89.2	—	Unverified
7	MwAN	Accuracy	89.12	—	Unverified
8	DIIN	Accuracy	89.06	—	Unverified
9	MSEM	Accuracy	88.86	—	Unverified
10	Bi-CAS-LSTM	Accuracy	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FEAT2, TFKLD, SVM, Fine-grained features	Accuracy	80.41	—	Unverified
2	NMF factorization-unigrams-TFKLD	Accuracy	72.75	—	Unverified
3	SWEM-concat	Accuracy	71.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT + SCH attm	Val Accuracy	91.42	—	Unverified
2	BERT + SCH attn	Val F1 Score	88.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	10 fold Cross validation	50	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBETRa base	MCC	0.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SplitEE-S	Accuracy	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TSDAE	AP	69.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Weighted Ensemble of TF-IDF and BERT Embeddings	1:1 Accuracy	82.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TSDAE	AP	76.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	StructBERTRoBERTa ensemble	Accuracy	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SplitEE-S	Accuracy	76.7	—	Unverified