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 801850 of 2381 papers

TitleStatusHype
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks0
CLISTER : Un corpus pour la similarité sémantique textuelle dans des cas cliniques en français (CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives)0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders0
CLEAR: Contrastive Learning for Sentence Representation0
A Semantically Motivated Approach to Compute ROUGE Scores0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering0
Active Mining Sample Pair Semantics for Image-text Matching0
Cleaning noisy wordnets0
Class-Similarity Based Label Smoothing for Confidence Calibration0
A Semantically Enhanced Approach to Determine Textual Similarity0
Exploring Semantic Representation in Brain Activity Using Word Embeddings0
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games0
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation0
Classifying Verses of the Quran using Doc2vec0
Classifying Frames at the Sentence Level in News Articles0
A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs0
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings0
ClaC: Semantic Relatedness of Words and Phrases0
A Secure and Comparable Text Encryption Algorithm0
Al-Bayan: A Knowledge-based System for Arabic Answer Selection0
Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering0
A bilingual approach to specialised adjectives through word embeddings in the karstology domain0
Exploring a Continuous and Flexible Representation of the Lexicon0
Exploratory topic modeling with distributional semantics0
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity0
Exploiting Sentence Similarities for Better Alignments0
ASAP-II: From the Alignment of Phrases to Textual Similarity0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models0
CIMON: Towards High-quality Hash Codes0
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation0
Exploring Content Features for Automated Speech Scoring0
Exploring Dimensionality Reduction Techniques in Multilingual Transformers0
Phonology-Guided Speech-to-Speech Translation for African Languages0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity0
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task0
Exploring Semantic Properties of Sentence Embeddings0
A Robust Approach to Aligning Heterogeneous Lexical Resources0
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation0
Exploring the effect of semantic similarity for Phrase-based Machine Translation0
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes0
Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task0
Exploring Vector Spaces for Semantic Relations0
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization0
Exponential Family Embeddings0
Exploiting Image Generality for Lexical Entailment Detection0
Explicit Retrofitting of Distributional Word Vectors0
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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