Short Text Clustering
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Short Text Clustering via Convolutional Neural Networks
Twin Contrastive Learning for Online Clustering
Supporting Clustering with Contrastive Learning
Discovering New Intents with Deep Aligned Clustering
Papers
Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering
Pseudo-labeling based on Optimal Transport (OT) has become an effective mechanism for enhancing short text clustering. Existing OT methods are short in modeling semantic consistencies between samples, which may assign di…
Short Text ClusteringLUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels
In this paper, we propose an intuitive, training-free and label-free method for intent clustering in conversational search. Current approaches to short text clustering use LLM-generated pseudo-labels to enrich text repre…
Short Text ClusteringLLMs Enable Bag-of-Texts Representations for Short-Text Clustering
In this paper, we propose a training-free method for unsupervised short text clustering that relies less on careful selection of embedders than other methods. In customer-facing chatbots, companies are dealing with large…
Short Text ClusteringNormalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
Short text clustering is a known use case in the text analytics community. When the structure and content falls in the natural language domain e.g. Twitter posts or instant messages, then natural language techniques can …
Short Text ClusteringAn Enhanced Model-based Approach for Short Text Clustering
Short text clustering has become increasingly important with the popularity of social media like Twitter, Google+, and Facebook. Existing methods can be broadly categorized into two paradigms: topic model-based approache…
Representation LearningShort Text ClusteringMoving Past Single Metrics: Exploring Short-Text Clustering Across Multiple Resolutions
Cluster number is typically a parameter selected at the outset in clustering problems, and while impactful, the choice can often be difficult to justify. Inspired by bioinformatics, this study examines how the nature of …
ClusteringInformativenessShort Text ClusteringText Clustering