https://github.com/raghav714/question-answer-system

In this Project I have used Standford Tools to extract the named entity and relation between those entity
https://github.com/raghav714/question-answer-system

named-entity-recognition pgsql question-answering stanford-ner stanford-nlp

Last synced: 3 months ago
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In this Project I have used Standford Tools to extract the named entity and relation between those entity

• Host: GitHub
• URL: https://github.com/raghav714/question-answer-system
• Owner: Raghav714
• License: apache-2.0
• Created: 2018-05-17T04:58:37.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-14T03:59:02.000Z (almost 6 years ago)
• Last Synced: 2025-01-08T22:35:50.166Z (4 months ago)
• Topics: named-entity-recognition, pgsql, question-answering, stanford-ner, stanford-nlp
• Language: Python
• Size: 25.4 KB
• Stars: 3
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Question-Answer-System

It was the part of CS200 my 4th Semester Course work. The domain on which the system was trained was freedom fighters biography.

The whole system was divided into 2 parts that is text processor and question processor.

In Text processor the Standford Tools to extract the named entity and relation between those entity was used. The obtanied tuple was stored in PGSQL database. This is the method by which i converted the unstructed data to structed data.

In question processor first the question were classified into o

In this You Need to download the NER and OPENIE tools from standford site given on below link

https://nlp.stanford.edu/software/openie.html and https://nlp.stanford.edu/software/CRF-NER.shtml

# PgSQL

You need to download pgsql in your system and conf it according to your need.

sudo apt-get install postgresql

create the database and table as given in the code.

# how to run it

$ python entry.py

$ python askques.py

# Result

you can see few result of the system in result.txt