KFEX-N : A table-text data question-answering model based on knowledge-fusion encoder and EX-N tree decoder-Reference-Cited by-同舟云学术

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KFEX-N : A table-text data question-answering model based on knowledge-fusion encoder and EX-N tree decoder

Published:2024-08 Issue: Volume:593 Page:127795
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tao Ye,Liu Jiawang,Li Hui,Cao Wenqian,Qin Xiugong,Tian Yunlong,Du Yongjie

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference50 articles.

1. KI-MAG: A knowledge-infused abstractive question answering system in medical domain;Zafar;Neurocomputing,2023

2. Relphormer: Relational graph transformer for knowledge graph representations;Bi;Neurocomputing,2024

3. Tableqa: Question answering on tabular data;Vakulenko,2017

4. Adversarial tableqa: Attention supervision for question answering on tables;Cho,2018

5. Seq2sql: Generating structured queries from natural language using reinforcement learning;Zhong,2017

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