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 601650 of 2381 papers

TitleStatusHype
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity0
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification0
Bilingual Word Embeddings for Phrase-Based Machine Translation0
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent0
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task0
Bilingual Topic Models for Comparable Corpora0
Bilingually-constrained Phrase Embeddings for Machine Translation0
A General Close-loop Predictive Coding Framework for Auditory Working Memory0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations0
A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet0
ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering0
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns0
Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction0
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation0
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives0
Distractor Generation for Chinese Fill-in-the-blank Items0
A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining0
A Game-Theoretic Approach to Word Sense Disambiguation0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding0
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation0
A French Corpus for Semantic Similarity0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking0
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment0
Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams0
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity0
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation0
Efficient comparison of sentence embeddings0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval0
Discriminative Improvements to Distributional Sentence Similarity0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection0
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization0
Beyond [CLS] through Ranking by Generation0
An Open-source Framework for Multi-level Semantic Similarity Measurement0
Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases0
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity0
Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings0
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking0
A Framework for Web Services Retrieval Using Bio Inspired Clustering0
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis0
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval0
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations0
Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps0
Distributed Document and Phrase Co-embeddings for Descriptive Clustering0
Distributed Representations of Geographically Situated Language0
Disambiguation of Basic Action Types through Nouns' Telic Qualia0
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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