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Korea University (graduate project) · Apr 2020 – Jul 2020

Open-Domain Korean Question Answering

Role · QA model development, web service

01Background & Goals

  • We built a system that answers open-domain questions using search engines.
  • It collects documents from Naver and Daum, splits them into paragraphs and finds the answer span with a BERT-based language model.

02Contributions

Retrieval and reading comprehension
  1. Collected candidate documents from search engines and split them into paragraphs
  2. Fine-tuned BERT, KoBERT and HanBERT for span extraction and chose the final model through quantitative and qualitative evaluation
Web demo
  1. Built and ran a Flask web demo

03Tech Stack

Framework / Platform
PyTorch, Flask, Transformers
Methodology
Machine reading comprehension, Span extraction

04Results

  • Ran a web demo; code released

05Reference Material