Skip to content

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

License

Notifications You must be signed in to change notification settings

dengyang17/PACIFIC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 

Repository files navigation

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

PACIFIC (ProActive Conversational Question Answering in FInanCe) contains 2,757 dialogues associated with 1,9008 QA turns.

You can download our PACIFIC dataset via PACIFIC dataset.

For more information, please refer to our PACIFIC website or read our EMNLP 2022 paper PDF.

UniPCQA Model

Training & Testing

python train.py --do_train --do_eval --max_seq_length=1280 --max_target_length=128 --gpu=<your_gpu_ids> --overwrite_output_dir --per_gpu_train_batch_size=<your_batch_size> --per_gpu_eval_batch_size=<your_batch_size> --model_name_or_path="Salesforce/codet5-base" --data_name='pacific' --model_name='codet5'

Please kindly cite our work if you use our dataset or codes, thank you.

@inproceedings{emnlp22-pacific,
  author    = {Yang Deng and
               Wenqiang Lei and
               Wenxuan Zhang and
               Wai Lam and
               Tat{-}Seng Chua},
  title     = {{PACIFIC:} Towards Proactive Conversational Question Answering over
               Tabular and Textual Data in Finance},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural
               Language Processing, {EMNLP} 2022},
  year      = {2022},
}

About

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages