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 19011950 of 2381 papers

TitleStatusHype
Automatic Difficulty Classification of Arabic Sentences0
Automatic Extraction of Turkish Hypernym-Hyponym Pairs From Large Corpus0
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries0
Automatic Real-word Error Correction in Persian Text0
Automatic Thesaurus Construction for Modern Hebrew0
Automatic Visual Theme Discovery from Joint Image and Text Corpora0
Automating the Compilation of Potential Core-Outcomes for Clinical Trials0
Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach0
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models0
Avaliando a similaridade sem\^antica entre frases curtas atrav\'es de uma abordagem h\' (A hybrid approach to measure Semantic Textual Similarity between short sentences in Brazilian Portuguese)[In Portuguese]0
A Vector Space for Distributional Semantics for Entailment0
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations0
A weakly supervised adaptive triplet loss for deep metric learning0
A web-based tool to Analyze Semantic Similarity Networks0
AZMAT: Sentence Similarity Using Associative Matrices0
Back-of-the-Book Index Automation for Arabic Documents0
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models0
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events0
BeLightRec: A lightweight recommender system enhanced with BERT0
BERTer: The Efficient One0
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity0
Beyond [CLS] through Ranking by Generation0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection0
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking0
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation0
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval0
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives0
Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations0
Bilingually-constrained Phrase Embeddings for Machine Translation0
Bilingual Topic Models for Comparable Corpora0
Bilingual Word Embeddings for Phrase-Based Machine Translation0
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification0
Binary Encoded Word Mover’s Distance0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity0
BitSim: An Algebraic Similarity Measure for Description Logics Concepts0
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation0
Book Reviews: Semantic Similarity from Natural Language and Ontology Analysis by S\'ebastien Harispe, Sylvie Ranwez, Stefan Janaqi, and Jacky Montmain0
Boosting Few-Shot Learning With Adaptive Margin Loss0
RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment0
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity0
Bootstrapping Unsupervised Bilingual Lexicon Induction0
Bridging Fairness and Environmental Sustainability in Natural Language Processing0
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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
8T5-11BPearson Correlation0.93Unverified
9ALBERTPearson 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