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Update README
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@xirdneh
xirdneh committed May 23, 2016
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**Introduction**

This project is based on the [TREC-2016 track LiveQA](https://sites.google.com/site/trecliveqa2016/call-for-participation).
In the heart of it uses Latent Dirichlet Allocation (LDA) to infer the semantic topics and uses this model to construct
a probability distribution for each of the retrieved documents from the knowledge base. Finally the Jensen-Shannon
Distance (JSD) is calculated to have a symilarity measure and the most similar answer is selected as the returned answer.
The knowledge base used right now is the yahoo answers database.
This project is based on the [TREC-2016 track LiveQA](https://sites.google.com/site/trecliveqa2016/call-for-participation).
In the heart of it uses Latent Dirichlet Allocation (LDA) to infer the semantic topics and uses this model to construct
a probability distribution for each of the retrieved documents from the knowledge base. Finally the Jensen-Shannon
Distance (JSD) is calculated to have a symilarity measure and the most similar answer is selected as the returned answer.
The knowledge base used right now is the yahoo answers database.

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