instruction:
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
question:
Note that GANE-AP delivers better results compared with GANE-OT, suggesting the attention parsing mechanism can further improve the low-level mutual attention matrix.
answer:
Which of their proposed attention methods works better overall?


question:
Our model BiLSTM+CNN(grapheme-level) and BiLSTM+CNN(G)+POS outperforms all other model experimented in OurNepali and ILPRL dataset respectively.
answer:
What is the best model?


question:
Slot Filling is an information extraction task which has become popular in the last years BIBREF3 . The task aims at extracting information about persons, organizations or geo-political entities from a large collection of news, web and discussion forum documents.
answer:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
What is the task of slot filling?


