SOTAVerified

Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

Showing 23262350 of 2381 papers

TitleStatusHype
SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment0
BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment0
Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task0
IRIT: Textual Similarity Combining Conceptual Similarity with an N-Gram Comparison Method0
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures0
LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets0
DirRelCond3: Detecting Textual Entailment Across Languages With Conditions On Directional Text Relatedness Scores0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity0
Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity0
UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment0
PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity0
ETS: Discriminative Edit Models for Paraphrase Scoring0
ATA-Sem: Chunk-based Determination of Semantic Text Similarity0
Penn: Using Word Similarities to better Estimate Sentence Similarity0
DERI\&UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description0
UOW: Semantically Informed Text Similarity0
JU\_CSE\_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs0
janardhan: Semantic Textual Similarity using Universal Networking Language graph matching0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets0
MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-20120
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching0
FCC: Three Approaches for Semantic Textual Similarity0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity0
Stanford: Probabilistic Edit Distance Metrics for STS0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8Unverified
2DeBERTa (large)Accuracy92.5Unverified
3SMART-BERTDev Pearson Correlation90Unverified
4MT-DNN-SMARTPearson Correlation0.93Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93Unverified
6Mnet-SimPearson Correlation0.93Unverified
7XLNet (single model)Pearson Correlation0.93Unverified
8ALBERTPearson Correlation0.93Unverified
9T5-11BPearson Correlation0.93Unverified
10RoBERTaPearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54Unverified
2ST5-XXLSpearman Correlation82.63Unverified
3ST5-LargeSpearman Correlation81.83Unverified
4ST5-XLSpearman Correlation81.66Unverified
5ST5-BaseSpearman Correlation81.14Unverified
6MPNet-multilingualSpearman Correlation80.73Unverified
7SGPT-5.8B-nliSpearman Correlation80.53Unverified
8MPNetSpearman Correlation80.28Unverified
9MiniLM-L12Spearman Correlation79.8Unverified
10SimCSE-BERT-supSpearman Correlation79.12Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7Unverified
2ALBERTAccuracy93.4Unverified
3RoBERTa (ensemble)Accuracy92.3Unverified
4BigBirdF191.5Unverified
5StructBERTRoBERTa ensembleAccuracy91.5Unverified
6FLOATER-largeAccuracy91.4Unverified
7SMARTAccuracy91.3Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191Unverified
10SpanBERTAccuracy90.9Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81Unverified
6SentenceBERTSpearman Correlation0.75Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74Unverified
10SBERT-NLI-largeSpearman Correlation0.74Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87Unverified