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fabiochiusano
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5ca37e8
1
Parent(s):
c17201f
add article reference
Browse files- __pycache__/kb.cpython-37.pyc +0 -0
- __pycache__/utils.cpython-37.pyc +0 -0
- app.py +1 -0
__pycache__/kb.cpython-37.pyc
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__pycache__/utils.cpython-37.pyc
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app.py
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@@ -20,6 +20,7 @@ st.header("Extracting a Knowledge Base from text")
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# sidebar
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with st.sidebar:
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st.header("What is a Knowledge Base")
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st.markdown("A [**Knowledge Base (KB)**](https://en.wikipedia.org/wiki/Knowledge_base) is information stored in structured data, ready to be used for analysis or inference. Usually a KB is stored as a graph (i.e. a [**Knowledge Graph**](https://www.ibm.com/cloud/learn/knowledge-graph)), where nodes are **entities** and edges are **relations** between entities.")
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st.markdown("_For example, from the text \"Fabio lives in Italy\" we can extract the relation triplet <Fabio, lives in, Italy>, where \"Fabio\" and \"Italy\" are entities._")
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# sidebar
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with st.sidebar:
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st.markdown("_Read the accompanying article [Building a Knowledge Base from Texts: a Full Practical Example](https://medium.com/nlplanet/building-a-knowledge-base-from-texts-a-full-practical-example-8dbbffb912fa)_")
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st.header("What is a Knowledge Base")
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st.markdown("A [**Knowledge Base (KB)**](https://en.wikipedia.org/wiki/Knowledge_base) is information stored in structured data, ready to be used for analysis or inference. Usually a KB is stored as a graph (i.e. a [**Knowledge Graph**](https://www.ibm.com/cloud/learn/knowledge-graph)), where nodes are **entities** and edges are **relations** between entities.")
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st.markdown("_For example, from the text \"Fabio lives in Italy\" we can extract the relation triplet <Fabio, lives in, Italy>, where \"Fabio\" and \"Italy\" are entities._")
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