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
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language0
Evaluation of Simple Distributional Compositional Operations on Longer Texts0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity0
A Fine-Grained Analysis of BERTScore0
EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models0
Event Detection and Co-reference with Minimal Supervision0
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments0
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity0
Evolution of Semantic Similarity -- A Survey0
Feedforward Legendre Memory Unit0
Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples0
Detecting Metaphor by Contextual Analogy0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity0
Detecting linguistic idiosyncratic interests in autism using distributional semantic models0
Check-Eval: A Checklist-based Approach for Evaluating Text Quality0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques0
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks0
Explicit Retrofitting of Distributional Word Vectors0
Exploiting Image Generality for Lexical Entailment Detection0
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet0
Phonology-Guided Speech-to-Speech Translation for African Languages0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models0
CIMON: Towards High-quality Hash Codes0
Exploiting Sentence Similarities for Better Alignments0
ASAP-II: From the Alignment of Phrases to Textual Similarity0
Exploratory topic modeling with distributional semantics0
Exploring a Continuous and Flexible Representation of the Lexicon0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings0
ClaC: Semantic Relatedness of Words and Phrases0
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
Classifying Frames at the Sentence Level in News Articles0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity0
Classifying Verses of the Quran using Doc2vec0
Detecting Language Impairments in Autism: A Computational Analysis of Semi-structured Conversations with Vector Semantics0
Exploring Semantic Properties of Sentence Embeddings0
Detecting Collocations Similarity via Logical-Linguistic Model0
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation0
Exploring the effect of semantic similarity for Phrase-based Machine Translation0
A New Set of Norms for Semantic Relatedness Measures0
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
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders0
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems0
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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