Multiword Term Extraction through Lexical Head Selection

We propose a semantically inspired Multiword Term Extractor that selects candidates for which the headword belongs to a seed list of approved single word terms. In order to achieve this without resorting to the computational complexities of a full parser, we apply a selection pipeline that leverages lightweight NLP-tools such as POS-taggers, chunkers and a self-devised head detection module.