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 851900 of 2381 papers

TitleStatusHype
Evaluations at Work: Measuring the Capabilities of GenAI in Use0
Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning0
Extracting Sentence Embeddings from Pretrained Transformer Models0
Extrapolating Binder Style Word Embeddings to New Words0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference0
Determining Compositionality of Expresssions Using Various Word Space Models and Methods0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction0
Detecting Singleton Review Spammers Using Semantic Similarity0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events0
FaMTEB: Massive Text Embedding Benchmark in Persian Language0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments0
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection0
Farmer-Bot: An Interactive Bot for Farmers0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)0
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts0
Fast and Easy Short Answer Grading with High Accuracy0
A Fine-Grained Analysis of BERTScore0
Detecting Metaphor by Contextual Analogy0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting0
CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter0
FBK-HLT: A New Framework for Semantic Textual Similarity0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings0
FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity0
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity0
Detecting linguistic idiosyncratic interests in autism using distributional semantic models0
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques0
Feature Engineering in Learning-to-Rank for Community Question Answering Task0
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models0
Detecting Language Impairments in Autism: A Computational Analysis of Semi-structured Conversations with Vector Semantics0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations0
Feedforward Legendre Memory Unit0
Detecting Collocations Similarity via Logical-Linguistic Model0
A New Set of Norms for Semantic Relatedness Measures0
Cognitively Motivated Distributional Representations of Meaning0
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems0
DeSpin: a prototype system for detecting spin in biomedical publications0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness0
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone0
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models0
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching0
Filter and Match Approach to Pair-wise Web URI Linking0
Finding Salient Context based on Semantic Matching for Relevance Ranking0
Finding the Topic of a Set of Images0
A New Semantic Lexicon and Similarity Measure in Bangla0
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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
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