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Exploration of buildng a question-answering knowledge graph based on BBC news articles. Aim is to answer questions like: "Where does Rick Wagoner work?"

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
bbc		bbc
bin		bin
nls-app		nls-app
notebooks		notebooks
scripts		scripts
.DS_Store		.DS_Store
A very NPR NER Example.ipynb		A very NPR NER Example.ipynb
Query Test.ipynb		Query Test.ipynb
README.md		README.md
article_response.json		article_response.json

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BBC-Knowledge-Graph

Exploration of buildng a question-answering knowledge graph based on BBC news articles. Aim is to answer questions like: "Where does Rick Wagoner work?"

Noteable Folders:

notebooks -> Neo4j BBC Data Load.ipynb (loads articles into Neo4j)
scripts -> knowledge_graph.cypher (queries to create the knowledge graph in Neo4j
bbc (raw text articles from the BBC)
bin (various binaries to support nls app)
nls-app (Wsgi Flask application that serves queries to knowledge graph)

Q: How does this all work?

1) After setup of Neo4j server, notebooks/BBC Data Load.ipynb is used to populate nodes into Neo4j

2) scripts/knowledge_graph.cypher is ran in Neo4j Browser to use POS tagging from Stanford NLP to graph to answer questions baout where people live and work.

3)The nlp-app is deployed (Dockerfile coming soon) and the app can be sent questions in the form: /bbc/question

4) A class called NLS parses and cleans the query and executes the appropriate query. The answer is then returned.

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Exploration of buildng a question-answering knowledge graph based on BBC news articles. Aim is to answer questions like: "Where does Rick Wagoner work?"

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