You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The NER is a classic sequence labeling problem, in which we are given a sentence, in the form of a sequence of tokens $\mathbf{w} = (w_1, w_2, ..., w_n)$, and we are required to output a sequence of token labels $\mathbf{y} = (y_1, y_2, ..., y_n)$. In this specific task, we use the standard BIO2 annotation, and each named entity chunk are classified into 6 categories, namely Person, Location (including GPE, facility), Corporation, Consumer good (tangible goods, or well-defined services), Creative work (song, movie, book, and so on) and Group (subsuming music band, sports team, and non-corporate organizations).