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 13511400 of 2381 papers

TitleStatusHype
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings0
Push for Quantization: Deep Fisher Hashing0
Memorizing All for Implicit Discourse Relation Recognition0
Probing Representations Learned by Multimodal Recurrent and Transformer Models0
Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksCode1
A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task0
Revisiting Semantic Representation and Tree Search for Similar Question RetrievalCode0
Phrase Localization Without Paired Training ExamplesCode0
Hamming Sentence Embeddings for Information Retrieval0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding0
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric0
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments0
YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources0
MSnet: A BERT-based Network for Gendered Pronoun ResolutionCode0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model0
Neural Models for Detecting Binary Semantic Textual Similarity for Algerian and MSA0
Annotating and analyzing the interactions between meaning relationsCode0
Specializing Distributional Vectors of All Words for Lexical Entailment0
Context Effects on Human Judgments of Similarity0
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
A Hybrid Neural Network Model for Commonsense Reasoning0
RoBERTa: A Robustly Optimized BERT Pretraining ApproachCode1
SpanBERT: Improving Pre-training by Representing and Predicting SpansCode0
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions0
Analysis of Word Embeddings Using Fuzzy Clustering0
DeepTrax: Embedding Graphs of Financial Transactions0
To Tune or Not To Tune? How About the Best of Both Worlds?Code0
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases0
Assessing Wordnets with WordNet EmbeddingsCode0
Visualising WordNet Embeddings: some preliminary results0
Using Thesaurus Data to Improve Coreference Resolution for Russian0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity0
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation0
Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Uncovering the Semantics of Wikipedia CategoriesCode0
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
Making Fast Graph-based Algorithms with Graph Metric EmbeddingsCode0
TechNet: Technology Semantic Network Based on Patent DataCode0
Modeling performance differences on cognitive tests using LSTMs and skip-thought vectors trained on reported media consumption.0
Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics0
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model0
A Semantic Cover Approach for Topic Modeling0
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter0
Audio Caption in a Car Setting with a Sentence-Level LossCode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Learning Multilingual Word Embeddings Using Image-Text Data0
MultiWiki: Interlingual Text Passage Alignment in Wikipedia0
Correlation Coefficients and Semantic Textual SimilarityCode0
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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