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 22012250 of 2381 papers

TitleStatusHype
Merging Word Senses0
Building Specialized Bilingual Lexicons Using Word Sense Disambiguation0
Bilingual Word Embeddings for Phrase-Based Machine Translation0
A Hierarchical Semantics-Aware Distributional Similarity Scheme0
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations0
Discriminative Improvements to Distributional Sentence Similarity0
Lexical Representation and Classification of Eventive Verbs - Polarity and Interaction between Process and State0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks0
Informativeness Constraints and Compositionality0
Semantic Relations between Events and their Time, Locations and Participants for Event Coreference Resolution0
Headerless, Quoteless, but not Hopeless? Using Pairwise Email Classification to Disentangle Email Threads0
High-Accuracy Phrase Translation Acquisition Through Battle-Royale Selection0
Disambiguation of Basic Action Types through Nouns' Telic Qualia0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space0
Towards a Structured Representation of Generic Concepts and Relations in Large Text Corpora0
A Secure and Comparable Text Encryption Algorithm0
The CW Corpus: A New Resource for Evaluating the Identification of Complex Words0
Building and Evaluating a Distributional Memory for Croatian0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction0
Probabilistic Sense Sentiment Similarity through Hidden Emotions0
DKPro Similarity: An Open Source Framework for Text Similarity0
Creating Similarity: Lateral Thinking for Vertical Similarity Judgments0
Using WordNet and Semantic Similarity for Bilingual Terminology Mining from Comparable Corpora0
The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests0
Leveraging Crowdsourcing for Paraphrase Recognition0
Post-Retrieval Clustering Using Third-Order Similarity Measures0
Referential Translation Machines for Quality Estimation0
A New Set of Norms for Semantic Relatedness Measures0
Context Vector Disambiguation for Bilingual Lexicon Extraction from Comparable Corpora0
Towards Dynamic Word Sense Discrimination with Random Indexing0
Parsing with Compositional Vector Grammars0
Argument extraction for supporting public policy formulation0
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling0
Learning Semantic Textual Similarity with Structural Representations0
Mining Equivalent Relations from Linked Data0
Derivational Smoothing for Syntactic Distributional Semantics0
Identifying Bad Semantic Neighbors for Improving Distributional Thesauri0
A Comparison of Smoothing Techniques for Bilingual Lexicon Extraction from Comparable Corpora0
A Structured Distributional Semantic Model for Event Co-reference0
Universal Conceptual Cognitive Annotation (UCCA)0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity0
Detecting Metaphor by Contextual Analogy0
SEMILAR: The Semantic Similarity Toolkit0
A corpus-based evaluation method for Distributional Semantic Models0
A Structured Distributional Semantic Model : Integrating Structure with Semantics0
Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity0
Determining Compositionality of Expresssions Using Various Word Space Models and Methods0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 20130
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses0
Show:102550
← PrevPage 45 of 48Next →

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