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 17011750 of 2381 papers

TitleStatusHype
Modeling Interestingness with Deep Neural Networks0
Modeling performance differences on cognitive tests using LSTMs and skip-thought vectors trained on reported media consumption.0
Modeling Prompt Adherence in Student Essays0
Modeling Sentences in the Latent Space0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings0
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce0
Monolingual alignment of word senses and definitions in lexicographical resources0
Monolingual Phrase Alignment on Parse Forests0
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form0
More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets0
Moving Other Way: Exploring Word Mover Distance Extensions0
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models0
Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception0
Multi-Attributed and Structured Text-to-Face Synthesis0
Multi-dimensional abstractness in cross-domain mappings0
MultiGBS: A multi-layer graph approach to biomedical summarization0
Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis0
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations0
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity0
Multi-Level Graph Contrastive Learning0
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages0
Multilingual Corpus Creation for Multilingual Semantic Similarity Task0
Multilingual Financial Documentation Summarization by Team_Tredence for FNS20220
Multilinguality at Your Fingertips : BabelNet, Babelfy and Beyond !0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations0
Multilingual Multi-modal Embeddings for Natural Language Processing0
Multilingual Natural Language Processing0
Multilingual Word Embeddings using Multigraphs0
Multilingual WSD with Just a Few Lines of Code: the BabelNet API0
Multi-Metric Optimization Using Ensemble Tuning0
Multi-Modality Cross Attention Network for Image and Sentence Matching0
Multimodal Learning with Deep Boltzmann Machines0
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition0
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks0
Multiple References with Meaningful Variations Improve Literary Machine Translation0
Multiplex Graph Neural Network for Extractive Text Summarization0
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings0
Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels0
MultiWiki: Interlingual Text Passage Alignment in Wikipedia0
MURAL: Multimodal, Multitask Retrieval Across Languages0
MWPRanker: An Expression Similarity Based Math Word Problem Retriever0
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items0
Needle in a Haystack: Reducing the Costs of Annotating Rare-Class Instances in Imbalanced Datasets0
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model0
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity0
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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