IndoBERT-Relevancy: A Context-Conditioned Relevancy Classifier for Indonesian Text

ArXi:2603.26095v1 Announce Type: new Determining whether a piece of text is relevant to a given topic is a fundamental task in natural language processing, yet it remains largely unexplored for Bahasa Indonesia. Unlike sentiment analysis or named entity recognition, relevancy classification requires the model to reason about the relationship between two inputs simultaneously: a topical context and a candidate text. We