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 23512381 of 2381 papers

TitleStatusHype
FrNewsLink : a corpus linking TV Broadcast News Segments and Press Articles0
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer0
From distributional semantics to feature norms: grounding semantic models in human perceptual data0
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions0
From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models0
GASE: Generatively Augmented Sentence Encoding0
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training0
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records0
GeAR: Generation Augmented Retrieval0
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing0
Generalised Differential Privacy for Text Document Processing0
Generalised Spherical Text Embedding0
Generalising and Normalising Distributional Contexts to Reduce Data Sparsity: Application to Medical Corpora0
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval0
Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs0
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT0
Generative Models for Simulating Mobility Trajectories0
Generative Semantic Communication for Joint Image Transmission and Segmentation0
GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm0
Gextext: Disease Network Extraction from Biomedical Literature0
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method0
GiCCS: A German in-Context Conversational Similarity Benchmark0
GKR: the Graphical Knowledge Representation for semantic parsing0
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue0
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data0
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features0
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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