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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 161–170 of 172 papers

Title	Date	Tasks	Status	Hype
On Paraphrase Identification Corpora	May 1, 2014	DiversityNatural Language Inference	—Unverified	0
Semi-Markov Phrase-Based Monolingual Alignment	Oct 1, 2013	Machine TranslationNatural Language Inference	—Unverified	0
Discriminative Improvements to Distributional Sentence Similarity	Oct 1, 2013	Machine TranslationParaphrase Identification	—Unverified	0
Leveraging Crowdsourcing for Paraphrase Recognition	Aug 1, 2013	Information RetrievalMachine Translation	—Unverified	0
SEMILAR: The Semantic Similarity Toolkit	Aug 1, 2013	Paraphrase IdentificationQuestion Answering	—Unverified	0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013	Jun 1, 2013	Language ModellingMachine Translation	—Unverified	0
SemEval-2013 Task 5: Evaluating Phrasal Semantics	Jun 1, 2013	Paraphrase IdentificationSemantic Textual Similarity	—Unverified	0
UMCC\_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance	Jun 1, 2013	Information RetrievalParaphrase Identification	—Unverified	0
String Re-writing Kernel	Jul 1, 2012	Information RetrievalNatural Language Inference	—Unverified	0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity	Jul 1, 2012	Natural Language InferenceParaphrase Identification	—Unverified	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