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 18011850 of 2381 papers

TitleStatusHype
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models0
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity0
Paragraph-based complex networks: application to document classification and authenticity verification0
Paragraph Similarity Matches for Generating Multiple-choice Test Items0
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation0
Parameter Transfer across Domains for Word Sense Disambiguation0
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations0
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features0
Paraphrasing, textual entailment, and semantic similarity above word level0
Parsing with Compositional Vector Grammars0
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems0
Patents Phrase to Phrase Semantic Matching Dataset0
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval0
Penn: Using Word Similarities to better Estimate Sentence Similarity0
Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction0
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach0
Persona Extraction Through Semantic Similarity for Emotional Support Conversation Generation0
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach0
Personalized Ranking in eCommerce Search0
PESTS: Persian_English Cross Lingual Corpus for Semantic Textual Similarity0
PhotoBot: Reference-Guided Interactive Photography via Natural Language0
Phrase-Based Evaluation for Machine Translation0
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning0
Pivot-Based Topic Models for Low-Resource Lexicon Extraction0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval0
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance0
PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity0
PolyUCOMP-CORE\_TYPED: Computing Semantic Textual Similarity using Overlapped Senses0
Portuguese FAQ for Financial Services0
Post-Retrieval Clustering Using Third-Order Similarity Measures0
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification0
Practical issues in developing semantic frameworks for the analysis of verbal fluency data: A Norwegian data case study0
Predicting Correlations Between Lexical Alignments and Semantic Inferences0
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks0
Predicting human similarity judgments with distributional models: The value of word associations.0
Predicting Machine Translation Adequacy with Document Embeddings0
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory0
Predicting the relevance of distributional semantic similarity with contextual information0
Predicting the Score of Atomic Candidate OWL Class Axioms0
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?0
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty0
PR-Net: Preference Reasoning for Personalized Video Highlight Detection0
Probabilistic Modeling of Joint-context in Distributional Similarity0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data0
Probabilistic Sense Sentiment Similarity through Hidden Emotions0
Probabilistic Soft Logic for Semantic Textual Similarity0
Probabilistic Zero-shot Classification with Semantic Rankings0
Probing Representations Learned by Multimodal Recurrent and Transformer Models0
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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