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 76–100 of 172 papers

Title	Date	Tasks	Status	Hype
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization	Nov 8, 2019	Linguistic AcceptabilityNatural Language Inference	CodeCode Available	1
Dice Loss for Data-imbalanced NLP Tasks	Nov 7, 2019	Chinese Named Entity RecognitionMachine Reading Comprehension	CodeCode Available	0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling	Nov 1, 2019	Information RetrievalParaphrase Identification	—Unverified	0
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching	Nov 1, 2019	Natural Language InferenceParaphrase Identification	—Unverified	0
Sentence Embeddings for Russian NLU	Oct 29, 2019	Multiple-choiceParaphrase Identification	CodeCode Available	0
TinyBERT: Distilling BERT for Natural Language Understanding	Sep 23, 2019	Knowledge DistillationLanguage Modelling	CodeCode Available	0
Robustness to Modification with Shared Words in Paraphrase Identification	Sep 5, 2019	Language ModelingLanguage Modelling	—Unverified	0
Transfer Fine-Tuning: A BERT Case Study	Sep 3, 2019	Natural Language UnderstandingParaphrase Identification	CodeCode Available	0
A Qualitative Evaluation Framework for Paraphrase Identification	Sep 1, 2019	Paraphrase Identification	—Unverified	0
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification	Aug 30, 2019	Paraphrase IdentificationSentence	CodeCode Available	2
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding	Aug 13, 2019	Language ModelingLanguage Modelling	—Unverified	0
Simple and Effective Text Matching with Richer Alignment Features	Aug 1, 2019	Answer SelectionNatural Language Inference	CodeCode Available	0
SpanBERT: Improving Pre-training by Representing and Predicting Spans	Jul 24, 2019	Coreference ResolutionLinguistic Acceptability	CodeCode Available	0
XLNet: Generalized Autoregressive Pretraining for Language Understanding	Jun 19, 2019	Audio Question AnsweringChinese Reading Comprehension	CodeCode Available	1
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching	Jun 4, 2019	DecoderNatural Language Inference	—Unverified	0
Unsupervised Paraphrasing without Translation	May 29, 2019	Machine TranslationParaphrase Identification	—Unverified	0
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language	May 17, 2019	Natural Language InferenceParaphrase Identification	CodeCode Available	0
ERNIE: Enhanced Language Representation with Informative Entities	May 17, 2019	Entity LinkingEntity Typing	CodeCode Available	0
PAWS: Paraphrase Adversaries from Word Scrambling	Apr 1, 2019	Paraphrase IdentificationSentence	CodeCode Available	0
Multiresolution Graph Attention Networks for Relevance Matching	Feb 27, 2019	Graph AttentionInformation Retrieval	—Unverified	0
Multi-Task Deep Neural Networks for Natural Language Understanding	Jan 31, 2019	Domain AdaptationLanguage Modeling	CodeCode Available	0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching	Dec 30, 2018	Information RetrievalNatural Language Inference	—Unverified	0
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Oct 11, 2018	Citation Intent ClassificationCommon Sense Reasoning	CodeCode Available	3
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences	Oct 6, 2018	Paraphrase IdentificationQuestion Answering	—Unverified	0
Training Complex Models with Multi-Task Weak Supervision	Oct 5, 2018	Matrix CompletionNatural Language Inference	CodeCode Available	0

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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