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.

The model consists of one layer of LSTM followed by three dense layers. The LSTM layer uses a dropout value of 0.2.
Do they use dropout?

Compared with the BERT-BASE model, BERT-SPC significantly improves the accuracy and F1 score of aspect polarity classification.
How much better is performance of the proposed model compared to the state of the art in these various experiments?

These actions consist of the following components:

[leftmargin=*]

Co-Reference Resolution: To support multi-turn interactions, it is sometimes necessary to use co-reference resolution techniques for effective retrieval. Query Generation: This component generates a query based on the past user-system interactions. Retrieval Model: This is the core ranking component that retrieves documents or passages from a large collection. Result Generation: The retrieved documents can be too long to be presented using some interfaces.
What are the different modules in Macaw?