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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 172 papers

Title	Date	Tasks	Status
Towards Better Characterization of Paraphrases	May 1, 2022	Data AugmentationMRPC	CodeCode Available
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning	Apr 6, 2022	Information RetrievalParaphrase Identification	CodeCode Available
PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection	Jan 17, 2022	Paraphrase Identification	—Unverified
Balanced Adversarial Training: Balancing Tradeoffs Between Oversensitivity and Undersensitivity in NLP Models	Jan 16, 2022	Contrastive LearningNatural Language Inference	—Unverified
Explaining Predictive Uncertainty by Looking Back at Model Explanations	Jan 11, 2022	Decision MakingNatural Language Inference	—Unverified
BnPC: A Corpus for Paraphrase Detection in Bangla	Dec 17, 2021	Paraphrase IdentificationSentence	—Unverified
Combining Shallow and Deep Representations for Text-Pair Classification	Dec 1, 2021	ClassificationDecoder	—Unverified
Predicate-Argument Based Bi-Encoder for Paraphrase Identification	Nov 16, 2021	Paraphrase IdentificationSentence	—Unverified
Knowledge-Guided Paraphrase Identification	Nov 1, 2021	Binary ClassificationParaphrase Identification	—Unverified
Towards Better Characterization of Paraphrases	Sep 17, 2021	Data AugmentationMRPC	CodeCode Available
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding	Sep 14, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
How much pretraining data do language models need to learn syntax?	Sep 7, 2021	Dependency ParsingParaphrase Identification	—Unverified
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification	Sep 3, 2021	Paraphrase IdentificationQuestion Answering	—Unverified
Does BERT Understand Idioms? A Probing-Based Empirical Study of BERT Encodings of Idioms	Sep 1, 2021	Paraphrase Identification	—Unverified
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task	Sep 1, 2021	MRPCParaphrase Identification	—Unverified
Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning	Sep 1, 2021	Domain GeneralizationParaphrase Identification	—Unverified
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models	Aug 15, 2021	Paraphrase Identification	—Unverified
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching	Aug 6, 2021	Language ModellingNatural Language Inference	—Unverified
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks	Apr 9, 2021	Natural Language InferenceParaphrase Identification	CodeCode Available
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP	Jan 1, 2021	Cross-Lingual TransferData Augmentation	—Unverified
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching	Oct 15, 2020	Graph AttentionParaphrase Identification	—Unverified
Pay Attention when Required	Sep 9, 2020	Language ModellingParaphrase Identification	CodeCode Available
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification	Jul 22, 2020	Community Question AnsweringParaphrase Identification	—Unverified
Experiments on Paraphrase Identification Using Quora Question Pairs Dataset	Jun 4, 2020	Binary ClassificationParaphrase Identification	—Unverified
Pointwise Paraphrase Appraisal is Potentially Problematic	May 25, 2020	Binary ClassificationParaphrase 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