Noun Compound and Named Entity Recognition and their Usability in Keyphrase Extraction
István Nagy T., Gábor Berend, Veronika Vincze · 2011
We investigate how the automatic identi-fication of noun compounds and named entities can contribute to keyphrase ex-traction and we also show how previously identified noun compounds affect named entity recognition and vice versa, how noun compound detection is supported by identified named entities. Our exper-iments demonstrate that already known noun compounds yield better performance in named entity recognition and already known named entities enhance noun com-pound detection. The integration of noun compound and named entity related features into a keyphrase extractor also proves to be more effective than the model not including them. Our results indicate that the above features tend to be benefi-cial in several NLP-related tasks. 1