2003 - Semantic Language Models for Topic Detection and Tracking

Kim et al 2015 - Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions

Zhang et al 2016 - Thread Cleaning and Merging for Microblog Topic Detection

2019 - SECTOR: A Neural Model for Coherent Topic Segmentation and Classification Says “topic modeling (Blei et al., 2003) and TDT (Jin et al., 1999) focus on representing and extracting the semantic topical content of text. Text segmentation (Beeferman et al.1999) is used to split documents into smaller coherent chunks. Finally, text classification (Joachims 1998) is often applied to detect topics on text chunks. Our method unifies those strongly inter-woven tasks and is the first to evaluate the combined topic segmentation and classification task using a corresponding data set with long structured documents.”

Chang et al 2014 - Semantic Frame-based Statistical Approach for Topic Detection

Bruggermann et al 2016 - Storyline Detection and Tracking Using Dynamic Latent Dirichlet Allocation