Technical term extraction aims to automatically identify important terms in scientific papers to help analyze the meaning of texts. It uses a machine learning model called CRF that leverages existing scientific text corpora and bilingual lexicons to recognize terms. The identified terms are then applied in natural language processing tasks involving scientific papers.