Short Text Clustering

14 papers with code • 8 benchmarks • 2 datasets

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Most implemented papers

ECLARE: Extreme Classification with Label Graph Correlations

Extreme-classification/ECLARE 31 Jul 2021

This paper presents ECLARE, a scalable deep learning architecture that incorporates not only label text, but also label correlations, to offer accurate real-time predictions within a few milliseconds.

DECAF: Deep Extreme Classification with Label Features

Extreme-classification/DECAF 1 Aug 2021

This paper develops the DECAF algorithm that addresses these challenges by learning models enriched by label metadata that jointly learn model parameters and feature representations using deep networks and offer accurate classification at the scale of millions of labels.

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

studio-ousia/ease NAACL 2022

We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities.

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

hmllmh/rstc 23 May 2023

To tackle the above issues, we propose a Robust Short Text Clustering (RSTC) model to improve robustness against imbalanced and noisy data.