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 19512000 of 2381 papers

TitleStatusHype
Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents0
Bringing Semantics into Focus Using Visual Abstraction0
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning0
BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment0
BUAP: Evaluating Features for Multilingual and Cross-Level Semantic Textual Similarity0
BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora0
Building a Dataset of Multilingual Cognates for the Romanian Lexicon0
Building and Evaluating a Distributional Memory for Croatian0
Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus0
Building Concept Graphs from Monolingual Dictionary Entries0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight0
Building Lexical Vector Representations from Concept Definitions0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database0
Building Semantic Grams of Human Knowledge0
Building Specialized Bilingual Lexicons Using Word Sense Disambiguation0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?0
Bundle Optimization for Multi-aspect Embedding0
BUT-TYPED: Using domain knowledge for computing typed similarity0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology0
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization0
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering0
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network0
Can Translation Memories afford not to use paraphrasing?0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space0
Capturing Discriminative Attributes in a Distributional Space: Task Proposal0
Care Episode Retrieval0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement0
CAT: Cross-Attention Transformer for One-Shot Object Detection0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces0
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation0
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression0
Center-wise Local Image Mixture For Contrastive Representation Learning0
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language0
Character Set Construction for Chinese Language Learning0
Characters or Morphemes: How to Represent Words?0
Chasing Hypernyms in Vector Spaces with Entropy0
Check-Eval: A Checklist-based Approach for Evaluating Text Quality0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task0
CIMON: Towards High-quality Hash Codes0
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity0
ClaC: Semantic Relatedness of Words and Phrases0
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model0
Classifying Frames at the Sentence Level in News Articles0
Classifying Verses of the Quran using Doc2vec0
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute0
Class-Similarity Based Label Smoothing for Confidence Calibration0
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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