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
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features	Jun 1, 2015	Information RetrievalMachine Translation	—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
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)	Jun 1, 2015	Information RetrievalParaphrase Identification	—Unverified
MITRE: Seven Systems for Semantic Similarity in Tweets	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
Twitter Paraphrase Identification with Simple Overlap Features and SVMs	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment	May 1, 2015	Combinatorial OptimizationMachine Translation	—Unverified
Convolutional Neural Network for Paraphrase Identification	May 1, 2015	ARCBinary Classification	CodeCode Available
An Exploration of Embeddings for Generalized Phrases	Jun 1, 2014	Coreference ResolutionParaphrase Identification	—Unverified
On Paraphrase Identification Corpora	May 1, 2014	DiversityNatural Language Inference	—Unverified
Semi-Markov Phrase-Based Monolingual Alignment	Oct 1, 2013	Machine TranslationNatural Language Inference	—Unverified
Discriminative Improvements to Distributional Sentence Similarity	Oct 1, 2013	Machine TranslationParaphrase Identification	—Unverified
Leveraging Crowdsourcing for Paraphrase Recognition	Aug 1, 2013	Information RetrievalMachine Translation	—Unverified
SEMILAR: The Semantic Similarity Toolkit	Aug 1, 2013	Paraphrase IdentificationQuestion Answering	—Unverified
UMCC\_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance	Jun 1, 2013	Information RetrievalParaphrase Identification	—Unverified
SemEval-2013 Task 5: Evaluating Phrasal Semantics	Jun 1, 2013	Paraphrase IdentificationSemantic Textual Similarity	—Unverified
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013	Jun 1, 2013	Language ModellingMachine Translation	—Unverified
SRIUBC: Simple Similarity Features for Semantic Textual Similarity	Jul 1, 2012	Natural Language InferenceParaphrase Identification	—Unverified
String Re-writing Kernel	Jul 1, 2012	Information RetrievalNatural Language Inference	—Unverified
Re-examining Machine Translation Metrics for Paraphrase Identification	Jun 1, 2012	Machine TranslationParaphrase Identification	—Unverified
Reference Scope Identification in Citing Sentences	Jun 1, 2012	Language IdentificationParaphrase 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