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 10011050 of 2381 papers

TitleStatusHype
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records0
Language Models Explain Word Reading Times Better Than Empirical Predictability0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum0
Duplicate Detection in a Knowledge Base with PIKA0
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding0
Improving Contextual Representation with Gloss Regularized Pre-training0
Learning Monolingual Sentence Embeddings with Large-scale Parallel Translation Datasets0
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication StudyCode0
Structure and Semantics Preserving Document Representations0
Graph-Based Recommendation System Enhanced with Community Detection0
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language frameworkCode0
Embeddings Evaluation Using a Novel Measure of Semantic SimilarityCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish LanguageCode0
Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions0
Distilling the Knowledge of Romanian BERTs Using Multiple TeachersCode0
Cognition-aware Cognate DetectionCode0
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks0
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
Contrastive Learning of Sentence Representations0
Classifying Verses of the Quran using Doc2vec0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences0
Cross-Domain Language Modeling: An Empirical Investigation0
Bilingual Topic Models for Comparable Corpora0
3D Compositional Zero-shot Learning with DeCompositional Consensus0
Code Clone Detection based on Event Embedding and Event Dependency0
Simple Contrastive Representation Adversarial Learning for NLP Tasks0
Using Distributional Principles for the Semantic Study of Contextual Language Models0
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems0
ConTFV: A Contrastive Learning Framework for Table-based Fact Verification0
RELiC: Retrieving Evidence for Literary Claims0
Compressing Sentence Representation via Homomorphic Projective Distillation0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains0
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness0
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base0
PromptBERT: Improving BERT Sentence Embeddings with Prompts0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching0
Do We Need to Differentiate Negative Candidates Before Training a Neural Ranker?0
NEWSFARM: the Largest Chinese Corpus for Long News Summarization0
Debiased Contrastive Learning of Unsupervised Sentence Representations0
Neural Keyphrase Generation: Analysis and Evaluation0
RoMe: A Robust Metric for Evaluating Natural Language Generation0
Learning Universal Sentence Embeddings with Large-scale Parallel Translation Datasets0
Training Cross-Lingual embeddings for Setswana and SepediCode0
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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