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View Code? Open in Web Editor NEWCode for our EMNLP 2021 paper - Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
Code for our EMNLP 2021 paper - Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
CUDA_VISIBLE_DEVICES=0 python main.py --seed 1 --model_name_or_path bert-base-uncased --model_save_path ./output/bert_newdata_webred_pretraining_matching_seed1 --force_del --use_apex_amp --apex_amp_opt_level O1 --task kbqa_name_expanded --metric f1 --data_path ./data/webqsp_name_expanded --head_entity_start_token "[start of head entity]" --head_entity_end_token "[end of head entity]" --tail_entity_start_token "[start of tail entity]" --tail_entity_end_token "[end of tail entity]" --continue_training_path ./output/webred_rel_matching_pretraining --batch_size 32
An error occurred while executing the above command
when preprocessing WebQSP for BERT-based KBQA,we need to download the [freebase data dumps]. In the URL https://developers.google.com/freebase/
, I want to confirm whether I will use the file that contain 1.9 billion triples.
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