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 51–75 of 172 papers

Title	Date	Tasks	Status	Score
Multi-Task Deep Neural Networks for Natural Language Understanding	Jan 31, 2019	Domain AdaptationLanguage Modeling	CodeCode Available	5
Modelling Sentence Pairs with Tree-structured Attentive Encoder	Oct 10, 2016	Paraphrase IdentificationQuestion Selection	CodeCode Available	5
Multiway Attention Networks for Modeling Sentence Pairs	Jul 1, 2018	Natural Language InferenceParaphrase Identification	CodeCode Available	5
Sentence Embeddings for Russian NLU	Oct 29, 2019	Multiple-choiceParaphrase Identification	CodeCode Available	5
Idiom Paraphrases: Seventh Heaven vs Cloud Nine	Sep 1, 2015	Natural Language InferenceParaphrase Identification	CodeCode Available	5
ERNIE: Enhanced Language Representation with Informative Entities	May 17, 2019	Entity LinkingEntity Typing	CodeCode Available	5
ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation	May 1, 2018	Natural Language InferenceNegation	CodeCode Available	5
Evaluating Multilingual Sentence Representation Models in a Real Case Scenario	Jun 1, 2022	Paraphrase IdentificationRetrieval	CodeCode Available	5
Memory-efficient Stochastic methods for Memory-based Transformers	Nov 14, 2023	Language ModelingLanguage Modelling	CodeCode Available	5
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks	Jan 5, 2025	Adversarial RobustnessBenchmarking	CodeCode Available	5
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks	Apr 9, 2021	Natural Language InferenceParaphrase Identification	CodeCode Available	5
Towards Better Characterization of Paraphrases	May 1, 2022	Data AugmentationMRPC	CodeCode Available	5
Natural Language Inference over Interaction Space	Sep 13, 2017	Natural Language InferenceParaphrase Identification	CodeCode Available	5
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding	Jul 15, 2023	Cross-Lingual TransferNatural Language Inference	CodeCode Available	5
GAPX: Generalized Autoregressive Paraphrase-Identification X	Oct 5, 2022	Paraphrase Identification	CodeCode Available	5
Character-based Neural Networks for Sentence Pair Modeling	May 21, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning	Mar 30, 2018	Multi-Task LearningNatural Language Inference	CodeCode Available	5
Application Specific Compression of Deep Learning Models	Sep 9, 2024	Deep LearningModel Compression	CodeCode Available	5
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems	Jul 1, 2017	Information RetrievalMachine Translation	CodeCode Available	5
A Deep Relevance Matching Model for Ad-hoc Retrieval	Nov 23, 2017	Ad-Hoc Information RetrievalParaphrase Identification	CodeCode Available	5
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation	Mar 27, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	5
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge	Feb 21, 2023	Paraphrase IdentificationSentence	CodeCode Available	5
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning	Apr 6, 2022	Information RetrievalParaphrase Identification	CodeCode Available	5
Learning to Represent Bilingual Dictionaries	Aug 10, 2018	Multi-Task LearningParaphrase Identification	CodeCode Available	5
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering	Jun 12, 2018	Natural Language InferenceParaphrase Identification	CodeCode Available	5

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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