This repo contains codes for the following paper:
Smoothing Dialogue States for Open Conversational Machine Reading.
(Codes are being cleaned and updated in progress)
We use the linear combination of DPR and TF-IDF, the codes are based on DrQA
The codes correspondingly are in retriever_tfidf.
Firstly, we build the DB for documents:
python build_db.py
Then we compute the tf-idf scores based on the constructed DB:
python build_tfidf.py
Finally, we inference the candidates for each sample in ORShARC:
bash inference_tfidf.sh