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Text Clustering
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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)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Moving Past Single Metrics: Exploring Short-Text Clustering Across Multiple Resolutions
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media
k-LLMmeans: Scalable, Stable, and Interpretable Text Clustering via LLM-based Centroids
Reliable Pseudo-labeling via Optimal Transport with Attention for Short Text Clustering
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Text Clustering as Classification with LLMs
Contrastive Learning Subspace for Text Clustering
NeurCAM: Interpretable Neural Clustering via Additive Models
Extracting Sentence Embeddings from Pretrained Transformer Models
An Efficient and Explanatory Image and Text Clustering System with Multimodal Autoencoder Architecture
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
Human-interpretable clustering of short-text using large language models
Context-Aware Clustering using Large Language Models
Text clustering applied to data augmentation in legal contexts
Text Clustering with Large Language Model Embeddings
More Discriminative Sentence Embeddings via Semantic Graph Smoothing
An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering
Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems
Incremental hierarchical text clustering methods: a review
Federated Learning for Short Text Clustering
Large Language Models Enable Few-Shot Clustering
ClusterLLM: Large Language Models as a Guide for Text Clustering
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM
Influence of various text embeddings on clustering performance in NLP
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
ClusTop: An unsupervised and integrated text clustering and topic extraction framework
Very Large Language Model as a Unified Methodology of Text Mining
Twin Contrastive Learning for Online Clustering
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