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 26–50 of 172 papers

Title	Date	Tasks	Status
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment	May 1, 2015	Combinatorial OptimizationMachine Translation	—Unverified
An Exploration of Embeddings for Generalized Phrases	Jun 1, 2014	Coreference ResolutionParaphrase Identification	—Unverified
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification	Jul 22, 2020	Community Question AnsweringParaphrase Identification	—Unverified
BnPC: A Corpus for Paraphrase Detection in Bangla	Dec 17, 2021	Paraphrase IdentificationSentence	—Unverified
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling	Nov 1, 2019	Information RetrievalParaphrase Identification	—Unverified
How much pretraining data do language models need to learn syntax?	Sep 7, 2021	Dependency ParsingParaphrase Identification	—Unverified
Improving Large-scale Paraphrase Acquisition and Generation	Oct 6, 2022	Language ModelingLanguage Modelling	—Unverified
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
Discriminative Improvements to Distributional Sentence Similarity	Oct 1, 2013	Machine TranslationParaphrase Identification	—Unverified
Balanced Adversarial Training: Balancing Tradeoffs Between Oversensitivity and Undersensitivity in NLP Models	Jan 16, 2022	Contrastive LearningNatural Language Inference	—Unverified
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching	Jun 4, 2019	DecoderNatural Language Inference	—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
AWE: Asymmetric Word Embedding for Textual Entailment	Sep 11, 2018	Natural Language InferenceParaphrase Identification	—Unverified
Cross-Lingual Adaptation Using Universal Dependencies	Mar 24, 2020	Paraphrase IdentificationRelation Extraction	—Unverified
A Unified Kernel Approach for Learning Typed Sentence Rewritings	Jul 1, 2015	Machine TranslationNatural Language Inference	—Unverified
Explaining Predictive Uncertainty by Looking Back at Model Explanations	Jan 11, 2022	Decision MakingNatural Language Inference	—Unverified
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences	Oct 6, 2018	Paraphrase IdentificationQuestion Answering	—Unverified
Exploiting Sentence Similarities for Better Alignments	Nov 1, 2016	Natural Language InferenceParaphrase Identification	—Unverified
Cross-lingual paraphrase identification	Jun 21, 2024	Cross-Lingual Paraphrase IdentificationParaphrase Identification	—Unverified
A Continuously Growing Dataset of Sentential Paraphrases	Aug 1, 2017	BenchmarkingParaphrase Identification	—Unverified
Deep Learning of Binary and Gradient Judgements for Semantic Paraphrase	Jan 1, 2017	Deep LearningParaphrase Identification	—Unverified
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification	Sep 3, 2021	Paraphrase IdentificationQuestion Answering	—Unverified
Experiments on Paraphrase Identification Using Quora Question Pairs Dataset	Jun 4, 2020	Binary ClassificationParaphrase Identification	—Unverified
Discriminative Phrase Embedding for Paraphrase Identification	Apr 2, 2016	Paraphrase Identification	—Unverified
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter	Jun 1, 2015	Information RetrievalMachine Translation	—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