SOTAVerified

Text Clustering

Grouping a set of texts in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). (Source: Adapted from Wikipedia)

Papers

Showing 2650 of 123 papers

TitleStatusHype
Elastic deep autoencoder for text embedding clustering by an improved graph regularization0
Large Language Models Enable Few-Shot ClusteringCode1
ClusterLLM: Large Language Models as a Guide for Text ClusteringCode1
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text ClusteringCode1
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM0
Influence of various text embeddings on clustering performance in NLPCode0
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering0
DeepLens: Interactive Out-of-distribution Data Detection in NLP ModelsCode1
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models0
ClusTop: An unsupervised and integrated text clustering and topic extraction framework0
Very Large Language Model as a Unified Methodology of Text MiningCode0
MTEB: Massive Text Embedding BenchmarkCode4
Improving Deep Embedded Clustering via Learning Cluster-level Representations0
Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)0
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling0
Training Effective Neural Sentence Encoders from Automatically Mined ParaphrasesCode1
Contextual Text Block Detection towards Scene Text Understanding0
Towards Responsible AI for Financial Transactions0
Clustering Similar Amendments at the Italian SenateCode0
EASE: Entity-Aware Contrastive Learning of Sentence EmbeddingCode1
Neural Topic Modeling with Deep Mutual Information Estimation0
Subspace Co-clustering with Two-Way Graph ConvolutionCode0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding0
Proposition-Level Clustering for Multi-Document SummarizationCode1
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLV-Measure43.71Unverified
2MPNetV-Measure43.69Unverified
3GTR-XXLV-Measure42.42Unverified
4MiniLM-L6V-Measure42.35Unverified
5ST5-XLV-Measure42.34Unverified
6MiniLM-L12V-Measure41.81Unverified
7ST5-LargeV-Measure41.65Unverified
8GTR-LargeV-Measure41.6Unverified
9GTR-XLV-Measure41.51Unverified
10ContrieverV-Measure41.1Unverified
#ModelMetricClaimedVerifiedStatus
1G-BATAccuracy41.25Unverified
2BATAccuracy35.66Unverified
#ModelMetricClaimedVerifiedStatus
1Vector Space ModelRelated Headlines85Unverified