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 20012050 of 2381 papers

TitleStatusHype
Multilinguality at Your Fingertips : BabelNet, Babelfy and Beyond !0
Al-Bayan: A Knowledge-based System for Arabic Answer Selection0
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability0
SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)0
yiGou: A Semantic Text Similarity Computing System Based on SVM0
Similarity Measures for Quantifying Restrictive and Repetitive Behavior in Conversations of Autistic Children0
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity0
MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity0
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge0
Sematch: Semantic Entity Search from Knowledge GraphCode0
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching0
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments0
TAKELAB: Medical Information Extraction and Linking with MINERAL0
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders0
UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System0
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter0
SOPA: Random Forests Regression for the Semantic Textual Similarity task0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition0
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation0
UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS0
Twitter Paraphrase Identification with Simple Overlap Features and SVMs0
UQeResearch: Semantic Textual Similarity Quantification0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models0
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics0
FBK-HLT: A New Framework for Semantic Textual Similarity0
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering0
Distributional Semantic Concept Models for Entity Relation Discovery0
MathLingBudapest: Concept Networks for Semantic SimilarityCode0
Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression0
Learning Kernels for Semantic Clustering: A Deep Approach0
Linking the Thoughts: Analysis of Argumentation Structures in Scientific Publications0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task0
Practical issues in developing semantic frameworks for the analysis of verbal fluency data: A Norwegian data case study0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity0
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay0
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity0
Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features0
RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines0
ROB: Using Semantic Meaning to Recognize Paraphrases0
Relation extraction pattern ranking using word similarity0
Implicit Entity Recognition in Clinical Documents0
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features0
FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure 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