Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

21 April 2022

Papers citing "Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics"

9 / 9 papers shown

Title
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Arezoo Hatefi Xuan-Son Vu Monowar Bhuyan Frank Drewes VLM 36 0 0 10 May 2025
Multilingualism, Transnationality, and K-pop in the Online #StopAsianHate Movement Tessa Masis Zhangqi Duan Weiai Wayne Xu Ethan Zuckerman Jane Yeahin Pyo Brendan O'Connor LRM 54 0 0 04 Mar 2025
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 36 3 0 04 Oct 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 42 13 0 27 Jul 2024
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models Luiza Amador Pozzobon Beyza Ermis Patrick Lewis Sara Hooker 36 20 0 11 Oct 2023
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts Yu Zhang Yunyi Zhang Martin Michalski Yucheng Jiang Yu Meng Jiawei Han 66 17 0 12 Dec 2022
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents Domenic Rosati 26 0 0 28 Oct 2022
Neural Attention-Aware Hierarchical Topic Model Yuan Jin He Zhao Ming Liu Lan Du Wray Buntine BDL 31 17 0 14 Oct 2021
Topic Modeling with Contextualized Word Representation Clusters Laure Thompson David M. Mimno 117 83 0 23 Oct 2020