Skip to content

williamtdr/trivia

Repository files navigation

trivia

LING 5801 project component - ML based question answering system

Setup

  1. Download CoreNLP from here, and place inside a models directory inside the project.
  2. From the CoreNLP directory (e.g. stanford-corenlp-full-2018-10-05), start the server with java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 300000 .
  3. Run the model evaluator with python3 eval.py.

About

semantic analysis + question answering system

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages