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.

[EX Q]: As a starting point, we used the DIP corpus BIBREF37 , a collection of 49 clusters of 100 web pages on educational topics (e.g. bullying, homeschooling, drugs) with a short description of each topic.
Question: Which collections of web documents are included in the corpus?
[EX A]: DIP corpus BIBREF37

[EX Q]: The basic concept is to use a phone-discriminative model to produce frame-level phonetic features, and then use these features to enhance RNN LID systems that were originally built with raw acoustic features. The initial step is therefore feature combination, with the phonetic feature used as auxiliary information to assist acoustic RNN LID. This is improved further, as additional research identified that a simpler model using only the phonetic feature as the RNN LID input provides even better performance. We call this RNN model based on phonetic features the phonetic temporal neural LID approach, or PTN LID. As well as having a simplified model structure, the PTN offers deeper insight into the LID task by rediscovering the value of the phonetic temporal property in language discrimination.
Question: What is the main contribution of the paper?
[EX A]: Proposing an improved RNN model, the phonetic temporal neural LID approach, based on phonetic features that results in better performance

[EX Q]: LiLi should have the following capabilities:
Question: What are the components of the general knowledge learning engine?
[EX A]:
Answer with content missing: (list)
LiLi should have the following capabilities:
1. to formulate an inference strategy for a given query that embeds processing and interactive actions.
2. to learn interaction behaviors (deciding what to ask and when to ask the user).
3. to leverage the acquired knowledge in the current and future inference process.
4. to perform 1, 2 and 3 in a lifelong manner for continuous knowledge learning.