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 22012250 of 2381 papers

TitleStatusHype
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation0
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses0
Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings0
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs0
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance0
Efficient Audio Captioning Transformer with Patchout and Text Guidance0
Efficient comparison of sentence embeddings0
Efficient data selection employing Semantic Similarity-based Graph Structures for model training0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters0
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation0
Efficient learning of neighbor representations for boundary trees and forests0
Efficient Multi-Modal Embeddings from Structured Data0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection0
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis0
Optimal Embedding Calibration for Symbolic Music Similarity0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction0
Embeddings models for Buddhist Sanskrit0
Embedding Transfer via Smooth Contrastive Loss0
Embed-Search-Align: DNA Sequence Alignment using Transformer Models0
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction0
Encoding Gated Translation Memory into Neural Machine Translation0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models0
End-To-End Graph-based Deep Semi-Supervised Learning0
Enhanced Word Representations for Bridging Anaphora Resolution0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval0
Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction0
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy0
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations0
Enhancing user creativity: Semantic measures for idea generation0
Equation Embeddings0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations0
Estimating Mutual Information Between Dense Word Embeddings0
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework0
Estimating Text Similarity based on Semantic Concept Embeddings0
\'Etat de l'art : mesures de similarit\'e s\'emantique locales et algorithmes globaux pour la d\'esambigu\" lexicale \`a base de connaissances (State of the art : Local Semantic Similarity Measures and Global Algorithmes for Knowledge-based Word Sense Disambiguation) [in French]0
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning0
ETS: Discriminative Edit Models for Paraphrase Scoring0
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
Evaluating Contrastive Models for Instance-based Image Retrieval0
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs0
Evaluating distributed word representations for capturing semantics of biomedical concepts0
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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