instruction:
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.
question:
We have used a dataset of 14 TDs to conduct our experiments.
Question: Which dataset(s) do they use?
answer:
14 TDs BIBREF15

question:
To study the lexical and semantic diversities of responses, we performed three analyses. First, we aggregated all worker responses to a particular question into a single list corresponding to that question. Second, we compared the diversity of individual responses between Control and AUI for each question. To measure diversity for a question, we computed the number of responses divided by the number of unique responses to that question. We call this the response density.
Question: How was lexical diversity measured?
answer:
By computing number of unique responses and number of responses divided by the number of unique responses to that question for each of the questions

question:
The first challenge is to acquire very large Vietnamese corpus and to use them in building a classifier, which could further improve accuracy. The second challenge is design and development of big data warehouse and analytic framework for Vietnamese documents, which corresponds to the rapid and continuous growth of gigantic volume of articles and/or documents from Web 2.0 applications, such as, Facebook, Twitter, and so on. The final challenge relates to building a system, which is able to incrementally learn new corpora and interactively process feedback.
Question: Why challenges does word segmentation in Vietnamese pose?
answer:
Acquire very large Vietnamese corpus and build a classifier with it, design a develop a big data warehouse and analytic framework, build a system to incrementally learn new corpora and interactively process feedback.