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 15511600 of 2381 papers

TitleStatusHype
uHelp: intelligent volunteer search for mutual help communities0
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA0
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis0
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures0
UMBC\_EBIQUITY-CORE: Semantic Textual Similarity Systems0
UMCC\_DLSI: Multidimensional Lexical-Semantic Textual Similarity0
UMCC\_DLSI\_SemSim: Multilingual System for Measuring Semantic Textual Similarity0
UMCC\_DLSI: Textual Similarity based on Lexical-Semantic features0
UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?0
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity0
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement0
UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System0
UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts0
UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment0
Unbiased Sentence Encoder For Large-Scale Multi-lingual Search Engines0
UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation0
UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base0
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses0
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings0
Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs0
Understanding Idiomatic Variation0
UNED: Improving Text Similarity Measures without Human Assessments0
UniAdapt: A Universal Adapter for Knowledge Calibration0
UNIBA: Combining Distributional Semantic Models and Word Sense Disambiguation for Textual Similarity0
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity0
UNIBA: Distributional Semantics for Textual Similarity0
Unifying Demonstration Selection and Compression for In-Context Learning0
Unifying Specialist Image Embedding into Universal Image Embedding0
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing0
UniMelb\_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity0
UNITOR: Combining Semantic Text Similarity functions through SV Regression0
UNITOR-CORE\_TYPED: Combining Text Similarity and Semantic Filters through SV Regression0
Universal Conceptual Cognitive Annotation (UCCA)0
Universal Correspondence Network0
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation0
Universal Multimodal Representation for Language Understanding0
Universal Text Representation from BERT: An Empirical Study0
Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts0
Unsupervised Anomaly Detection From Semantic Similarity Scores0
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning0
Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation0
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments0
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks0
Unsupervised Flow Discovery from Task-oriented Dialogues0
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence0
Unsupervised Paraphrasing by Simulated Annealing0
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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