termrecognitionoppgaver
Term recognition tasks, often referred to as term extraction or terminology extraction, are a fundamental process in natural language processing (NLP) and computational linguistics. The primary goal of these tasks is to automatically identify and extract significant terms or concepts from a given text corpus. These terms are typically multi-word expressions or single words that carry specific meaning within a particular domain.
The process usually involves several steps. First, candidate terms are generated, which can be done using statistical
Following candidate generation, a crucial step is term filtering or ranking. This stage aims to distinguish
The output of term recognition tasks is typically a list of extracted terms, often accompanied by their