SOTAVerified

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

Showing 5175 of 172 papers

TitleStatusHype
Charformer: Fast Character Transformers via Gradient-based Subword TokenizationCode1
Improving Paraphrase Detection with the Adversarial Paraphrasing TaskCode1
Factorising Meaning and Form for Intent-Preserving ParaphrasingCode1
FNet: Mixing Tokens with Fourier TransformsCode1
Entailment as Few-Shot LearnerCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding LearningCode1
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group MasksCode0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP0
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningCode1
RealFormer: Transformer Likes Residual AttentionCode1
Self-Explaining Structures Improve NLP ModelsCode1
Adversarial Semantic CollisionsCode1
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching0
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain KnowledgeCode1
BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification ContextCode1
Pay Attention when RequiredCode0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification0
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Experiments on Paraphrase Identification Using Quora Question Pairs Dataset0
Pointwise Paraphrase Appraisal is Potentially Problematic0
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
Cross-Lingual Adaptation Using Universal Dependencies0
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding0
Matching Text with Deep Mutual Information Estimation0
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERT-BaseDirect Intrinsic Dimension9,295Unverified
2data2vecAccuracy92.4Unverified
3SMART-BERTDev Accuracy91.5Unverified
4ALICEF190.7Unverified
5MFAEAccuracy90.54Unverified
6RoBERTa-large 355M + Entailment as Few-shot LearnerF189.2Unverified
7MwAN Accuracy89.12Unverified
8DIINAccuracy89.06Unverified
9MSEMAccuracy88.86Unverified
10Bi-CAS-LSTMAccuracy88.6Unverified
#ModelMetricClaimedVerifiedStatus
1FEAT2, TFKLD, SVM, Fine-grained featuresAccuracy80.41Unverified
2NMF factorization-unigrams-TFKLDAccuracy72.75Unverified
3SWEM-concatAccuracy71.5Unverified
#ModelMetricClaimedVerifiedStatus
1BERT + SCH attmVal Accuracy91.42Unverified
2BERT + SCH attnVal F1 Score88.44Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10 fold Cross validation50Unverified
#ModelMetricClaimedVerifiedStatus
1RoBETRa baseMCC0.53Unverified
#ModelMetricClaimedVerifiedStatus
1SplitEE-SAccuracy82.2Unverified
#ModelMetricClaimedVerifiedStatus
1TSDAEAP69.2Unverified
#ModelMetricClaimedVerifiedStatus
1Weighted Ensemble of TF-IDF and BERT Embeddings1:1 Accuracy82.04Unverified
#ModelMetricClaimedVerifiedStatus
1TSDAEAP76.8Unverified
#ModelMetricClaimedVerifiedStatus
1StructBERTRoBERTa ensembleAccuracy90.7Unverified
#ModelMetricClaimedVerifiedStatus
1SplitEE-SAccuracy76.7Unverified