Adaptation of POS tagging for multiple BioMedical domains
John E. Miller, Manabu Torii, K. Vijay‐Shanker · 2007
Part of Speech (POS) tagging is often a prerequisite for tasks such as partial parsing and information extraction. However, when a POS tagger is simply ported to another domain the tagger's accuracy drops. This problem can be addressed through hand annotation of a corpus in the new domain and supervised training of a new tagger. In our methodology, we use existing raw text and a generic POS annotated corpus to develop taggers for new domains without hand annotation or supervised training. We focus in particular on out-of-vocabulary words since they reduce accuracy (Lease and Charniak. 2005; Smith et al. 2005).