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 14011450 of 2381 papers

TitleStatusHype
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering0
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet0
Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation0
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity0
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis0
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval0
SOPA: Random Forests Regression for the Semantic Textual Similarity task0
Sorting through the noise: Testing robustness of information processing in pre-trained language models0
So similar and yet incompatible: Toward the automated identification of semantically compatible words0
Sound Analogies with Phoneme Embeddings0
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM0
Sparse Contrastive Learning of Sentence Embeddings0
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction0
Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision0
Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain0
Specializing Distributional Vectors of All Words for Lexical Entailment0
Spectral Hashing0
Squibs: When the Whole Is Not Greater Than the Combination of Its Parts: A ``Decompositional'' Look at Compositional Distributional Semantics0
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching0
SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity0
SSAS: Semantic Similarity for Abstractive Summarization0
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval0
SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity0
Stanford: Probabilistic Edit Distance Metrics for STS0
Static Fuzzy Bag-of-Words: a lightweight sentence embedding algorithm0
Statistical Hypothesis Testing for Auditing Robustness in Language Models0
Statistical Mechanics of Semantic Compression0
Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs0
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems0
Story Cloze Ending Selection Baselines and Data Examination0
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding0
Structure-aware Sentence Encoder in Bert-Based Siamese Network0
Structure and Semantics Preserving Document Representations0
Structuring Operative Notes using Active Learning0
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble0
Studying Lobby Influence in the European Parliament0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric0
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique0
Suggesting Sentences for ESL using Kernel Embeddings0
Discovering Elementary Discourse Units in Textual Data Using Canonical Correlation Analysis0
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail0
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization0
Supervised Clustering of Questions into Intents for Dialog System Applications0
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation0
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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