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 801–850 of 2381 papers

TitleStatusHype
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks—0
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 Narratives—0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders—0
CLEAR: Contrastive Learning for Sentence Representation—0
A Semantically Motivated Approach to Compute ROUGE Scores—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Active Mining Sample Pair Semantics for Image-text Matching—0
Cleaning noisy wordnets—0
Class-Similarity Based Label Smoothing for Confidence Calibration—0
A Semantically Enhanced Approach to Determine Textual Similarity—0
Exploring Semantic Representation in Brain Activity Using Word Embeddings—0
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games—0
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Classifying Verses of the Quran using Doc2vec—0
Classifying Frames at the Sentence Level in News Articles—0
A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs—0
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
ClaC: Semantic Relatedness of Words and Phrases—0
A Secure and Comparable Text Encryption Algorithm—0
Al-Bayan: A Knowledge-based System for Arabic Answer Selection—0
Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering—0
A bilingual approach to specialised adjectives through word embeddings in the karstology domain—0
Exploring a Continuous and Flexible Representation of the Lexicon—0
Exploratory topic modeling with distributional semantics—0
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity—0
Exploiting Sentence Similarities for Better Alignments—0
ASAP-II: From the Alignment of Phrases to Textual Similarity—0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models—0
CIMON: Towards High-quality Hash Codes—0
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation—0
Exploring Content Features for Automated Speech Scoring—0
Exploring Dimensionality Reduction Techniques in Multilingual Transformers—0
Phonology-Guided Speech-to-Speech Translation for African Languages—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet—0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task—0
Exploring Semantic Properties of Sentence Embeddings—0
A Robust Approach to Aligning Heterogeneous Lexical Resources—0
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation—0
Exploring the effect of semantic similarity for Phrase-based Machine Translation—0
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes—0
Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task—0
Exploring Vector Spaces for Semantic Relations—0
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization—0
Exponential Family Embeddings—0
Exploiting Image Generality for Lexical Entailment Detection—0
Explicit Retrofitting of Distributional Word Vectors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8—Unverified
2DeBERTa (large)Accuracy92.5—Unverified
3SMART-BERTDev Pearson Correlation90—Unverified
4MT-DNN-SMARTPearson Correlation0.93—Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93—Unverified
6Mnet-SimPearson Correlation0.93—Unverified
7XLNet (single model)Pearson Correlation0.93—Unverified
8ALBERTPearson Correlation0.93—Unverified
9T5-11BPearson Correlation0.93—Unverified
10RoBERTaPearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54—Unverified
2ST5-XXLSpearman Correlation82.63—Unverified
3ST5-LargeSpearman Correlation81.83—Unverified
4ST5-XLSpearman Correlation81.66—Unverified
5ST5-BaseSpearman Correlation81.14—Unverified
6MPNet-multilingualSpearman Correlation80.73—Unverified
7SGPT-5.8B-nliSpearman Correlation80.53—Unverified
8MPNetSpearman Correlation80.28—Unverified
9MiniLM-L12Spearman Correlation79.8—Unverified
10SimCSE-BERT-supSpearman Correlation79.12—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7—Unverified
2ALBERTAccuracy93.4—Unverified
3RoBERTa (ensemble)Accuracy92.3—Unverified
4BigBirdF191.5—Unverified
5StructBERTRoBERTa ensembleAccuracy91.5—Unverified
6FLOATER-largeAccuracy91.4—Unverified
7SMARTAccuracy91.3—Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91—Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191—Unverified
10SpanBERTAccuracy90.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82—Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82—Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82—Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81—Unverified
6SentenceBERTSpearman Correlation0.75—Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74—Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74—Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74—Unverified
10SBERT-NLI-largeSpearman Correlation0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91—Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91—Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9—Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9—Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89—Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89—Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88—Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88—Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87—Unverified