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 19512000 of 2381 papers

TitleStatusHype
Predicting Correlations Between Lexical Alignments and Semantic Inferences0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity0
Learning the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity0
Distributional Semantics for Resolving Bridging Mentions0
Predicting Machine Translation Adequacy with Document Embeddings0
Machine Translation Evaluation using Recurrent Neural NetworksCode0
Referential Translation Machines for Predicting Translation Quality and Related Statistics0
Semantic Role Labeling with Neural Network Factors0
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural NetworksCode0
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks0
Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception0
Distributional vectors encode referential attributes0
More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets0
Knowledge Base Unification via Sense Embeddings and Disambiguation0
Cross Lingual Sentiment Analysis using Modified BRAE0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization0
Exploratory topic modeling with distributional semantics0
EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models0
Exploring the effect of semantic similarity for Phrase-based Machine Translation0
Measuring the Structural and Conceptual Similarity of Folktales using Plot Graphs0
Cross-Document Non-Fiction Narrative Alignment0
Evaluating distributed word representations for capturing semantics of biomedical concepts0
Coordination-Aware Dependency Parsing (Preliminary Report)0
Linking Entities Across Images and Text0
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions0
A Unified Multilingual Semantic Representation of Concepts0
Orthogonality of Syntax and Semantics within Distributional Spaces0
Exploiting Image Generality for Lexical Entailment Detection0
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets0
Measuring idiosyncratic interests in children with autism0
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity0
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics0
A Unified Kernel Approach for Learning Typed Sentence Rewritings0
Grounding Semantics in Olfactory Perception0
Distributional Neural Networks for Automatic Resolution of Crossword Puzzles0
On metric embedding for boosting semantic similarity computations0
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory0
Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution0
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning0
A density compensation-based path computing model for measuring semantic similarity0
Sematch: Semantic Entity Search from Knowledge GraphCode0
Multilinguality at Your Fingertips : BabelNet, Babelfy and Beyond !0
Similarity Measures for Quantifying Restrictive and Repetitive Behavior in Conversations of Autistic Children0
Distributional Semantic Concept Models for Entity Relation Discovery0
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity0
Linking the Thoughts: Analysis of Argumentation Structures in Scientific Publications0
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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