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Post on 19-Jun-2015
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uPick: Crowdsourcing Based Approach to
Extract Relations Among Named Entities
Deepti Aggarwal, Rohit Ashok Khot,
Vasudeva Varma & Venkatesh Choppella
“You see sir, I can talk English, I can walk English, I can laugh English, I can run English, because
English is such a funny language.”Amitabh in Namak Halal
See an example…
“Tom called his father last night. They
talked for an hour. He said he would be home the next day."
What is ‘He' referring to? Tom or his father?
Named entity Relationship: An Example
Sachin Tendulkar was born in Bombay
Subject Relation Object
Challenges of language structure
Co-reference resolution
Ambiguous, complex sentences
Abbreviations
Acronyms
Existing Approaches
NLP based
Machine Learning based
Statistical Methods
Others
How to resolve?
Dependency issues
Scalability issues
Can we do better?
Our idea: Bring humans in the loop
You are most welcome!
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