Topic Detection and Tracking with Time-Aware Document Embeddings

arXiv:2112.06166v2 Announce Type: replace
Abstract: The time at which a message is communicated is a vital piece of metadata in many real-world natural language processing tasks such as Topic Detection and Tracking (TDT). TDT systems aim to cluster a corpus of news articles by event, and in that context, stories that describe the same event are likely to have been written at around the same time. Prior work on time modeling for TDT takes this into account, but does not …

abstract aim articles arxiv cluster context cs.cl detection document embeddings event language language processing metadata natural natural language natural language processing processing stories systems tasks tracking type vital world