A novel pipeline framework for multi-hop complex KGQA task. About the paper title: Improving Multi-hop Embedded Knowledge Graph Question Answering by Introducing Relational Chain Reasoning

Related tags

Deep Learning Rce-KGQA
Overview

Rce-KGQA

A novel pipeline framework for multi-hop complex KGQA task.

This framework mainly contains two modules, answering_filtering_module and relational_chain_reasoning_module

And this two module should be trained independently, at reference step, question and KG load into answering_filtering_module ad inputs, then get the top-K candidates ,and retrieval these candidates` relational chain in KG, and let relational_chain_reasoning_module provide the final answer to USERS.

overall pipeline architecture See model

answering_filtering_module See Module1

relational_chain_reasoning_module See Module2

Hope you enjoy it !!!

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Comments
  • for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    head_bn_params_dict = np.load(head_bn_filepath) for key in head_bn_params_dict: print('........') # print(head_bn_params_dict[key]) self.head_bn[key].data = torch.tensor(head_bn_params_dict[key]) 这是代码的问题，将npy文件打开后，但是不能读取 for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    opened by PonderK 0
  • for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    head_bn_params_dict = np.load(head_bn_filepath) for key in head_bn_params_dict: print('........') # print(head_bn_params_dict[key]) self.head_bn[key].data = torch.tensor(head_bn_params_dict[key]) 这是代码的问题，将npy文件打开后，但是不能读取 for key in head_bn_params_dict: TypeError: iteration over a 0-d array

    opened by PonderK 0
Owner
金伟强 -上海大学人工智能小渣渣~
@mention what can i do~
金伟强 -上海大学人工智能小渣渣~
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