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.

Ex Input:
We compare FSDM with four baseline methods and two ablations.

NDM BIBREF7 proposes a modular end-to-end trainable network. It applies de-lexicalization on user utterances and responses.

LIDM BIBREF9 improves over NDM by employing a discrete latent variable to learn underlying dialogue acts. This allows the system to be refined by reinforcement learning.

KVRN BIBREF13 adopts a copy-augmented Seq2Seq model for agent response generation and uses an attention mechanism on the KB. It does not perform belief state tracking.

TSCP/RL BIBREF10 is a two-stage CopyNet which consists of one encoder and two copy-mechanism-augmented decoders for belief state and response generation.

Ex Output:
What baselines have been used in this work?


Ex Input:
Cuneiform is an ancient writing system invented by the Sumerians for more than three millennia.

Ex Output:
What is one of the first writing systems in the world?


Ex Input:
In this section, we evaluate our method and compare its performance against the competitive approaches. We use INLINEFORM0 -fold evaluation protocol with INLINEFORM1 with random dataset split. We measure the performance using standard accuracy metric which we define as a ratio between correctly classified data samples from test dataset and all test samples.

Ex Output:

What evaluation metrics are used?