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

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Showing 26–50 of 123 papers

TitleStatusHype
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Contrastive Learning Subspace for Text Clustering—0
NeurCAM: Interpretable Neural Clustering via Additive ModelsCode0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
An Efficient and Explanatory Image and Text Clustering System with Multimodal Autoencoder Architecture—0
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 PandemicCode0
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models—0
Human-interpretable clustering of short-text using large language modelsCode0
Context-Aware Clustering using Large Language Models—0
Text clustering applied to data augmentation in legal contexts—0
Text Clustering with Large Language Model Embeddings—0
More Discriminative Sentence Embeddings via Semantic Graph SmoothingCode0
An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering—0
Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems—0
Incremental hierarchical text clustering methods: a review—0
Federated Learning for Short Text Clustering—0
Elastic deep autoencoder for text embedding clustering by an improved graph regularization—0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
Influence of various text embeddings on clustering performance in NLPCode0
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering—0
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models—0
ClusTop: An unsupervised and integrated text clustering and topic extraction framework—0
Very Large Language Model as a Unified Methodology of Text MiningCode0
Improving Deep Embedded Clustering via Learning Cluster-level Representations—0
Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)—0
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All datasetsMTEB20 NewsgroupsUrdu News Headlines Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLV-Measure43.71—Unverified
2MPNetV-Measure43.69—Unverified
3GTR-XXLV-Measure42.42—Unverified
4MiniLM-L6V-Measure42.35—Unverified
5ST5-XLV-Measure42.34—Unverified
6MiniLM-L12V-Measure41.81—Unverified
7ST5-LargeV-Measure41.65—Unverified
8GTR-LargeV-Measure41.6—Unverified
9GTR-XLV-Measure41.51—Unverified
10ContrieverV-Measure41.1—Unverified
#ModelMetricClaimedVerifiedStatus
1G-BATAccuracy41.25—Unverified
2BATAccuracy35.66—Unverified
#ModelMetricClaimedVerifiedStatus
1Vector Space ModelRelated Headlines85—Unverified