TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
PROBLEM: The CoNLL-2012 shared task BIBREF21 corpus is used as the evaluation dataset, which is selected from the Ontonotes 5.0.
Question: What dataset do they evaluate their model on?

SOLUTION: CoNLL-2012 shared task BIBREF21 corpus

PROBLEM: We employ two sources of e-book annotation data: (i) editor tags, and (ii) Amazon search terms. For editor tags, we collect data of 48,705 e-books from 13 publishers, namely Kunstmann, Delius-Klasnig, VUR, HJR, Diogenes, Campus, Kiwi, Beltz, Chbeck, Rowohlt, Droemer, Fischer and Neopubli. For the Amazon search terms, we collect search query logs of 21,243 e-books for 12 months (i.e., November 2017 to October 2018).
Question: what dataset was used?

SOLUTION: 48,705 e-books from 13 publishers search query logs of 21,243 e-books for 12 months

PROBLEM: Our model adopts the recently introduced biaffine attention BIBREF14 to enhance our role scorer.
Question: What is the biaffine scorer?

SOLUTION:
biaffine attention BIBREF14