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 17511800 of 2381 papers

TitleStatusHype
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets0
A Framework for Web Services Retrieval Using Bio Inspired Clustering0
A French Corpus for Semantic Similarity0
A Game-Theoretic Approach to Word Sense Disambiguation0
A General Close-loop Predictive Coding Framework for Auditory Working Memory0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments0
Agnostic Personalized Federated Learning with Kernel Factorization0
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit0
A Graph-theoretic Summary Evaluation for ROUGE0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining0
A Hierarchical Semantics-Aware Distributional Similarity Scheme0
A Hybrid Neural Network Model for Commonsense Reasoning0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity0
A Joint Model for Answer Sentence Ranking and Answer Extraction0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions0
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets0
A Large Resource of Patterns for Verbal Paraphrases0
A Large-Scale Multilingual Disambiguation of Glosses0
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes0
Al-Bayan: A Knowledge-based System for Arabic Answer Selection0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering0
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity0
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast0
Aligning Sentences from Standard Wikipedia to Simple Wikipedia0
ALOHa: A New Measure for Hallucination in Captioning Models0
A Massive Scale Semantic Similarity Dataset of Historical English0
Ambiguity-Aware In-Context Learning with Large Language Models0
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)0
A Meta-Evaluation of Style and Attribute Transfer Metrics0
A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task0
A Mixed Learning Objective for Neural Machine Translation0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension0
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders0
A Multi-level Alignment Training Scheme for Video-and-Language Grounding0
A Multilingual Dataset for Evaluating Parallel Sentence Extraction from Comparable Corpora0
A Multilingual Wikified Data Set of Educational Material0
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization0
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics0
An\'alise de Medidas de Similaridade Sem\^antica na Tarefa de Reconhecimento de Implica \~ao Textual (Analysis of Semantic Similarity Measures in the Recognition of Textual Entailment Task)[In Portuguese]0
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models0
Analysis of Word Embeddings Using Fuzzy Clustering0
Analyzing Citation-Distance Networks for Evaluating Publication Impact0
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks0
An analysis of textual inference in German customer emails0
Show:102550
← PrevPage 36 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
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