Abstract: We have developed a new answering system, which recognize questions inputs in natural language and respond accordingly.
Abstract— we have developed a new answering system, which recognize questions inputs in natural language and respond accordingly.
Request PDF | On May 1, 2019, Kuan-Hung Chen and others published A Chinese Oral Question-and-Answering System Based on LSTM | Find, read and cite all the ...
To further improve the accuracy of the Chinese knowledge question answering system, this paper proposes the MGBA-LSTM-CNN model. 3. System introduction. 3.1 ...
Missing: Oral | Show results with:Oral
To solve the specific problem in KBQA, a question answering system is built based on large scale Chinese knowledge base. This system consists of three main ...
Missing: Oral | Show results with:Oral
Jul 30, 2021 · This paper introduces a series of experiments with an ALBERT over match-LSTM network on the top of pre-trained word vectors, for accurate classification of ...
Oct 22, 2024 · In this paper, we propose an automatic scoring method for Chinese-English spoken translation based on attention LSTM. We select semantic ...
We propose a novel method based on relational graph convolutional network (RGCN), called MKRGCN, to utilize multi-source knowledge in a unified manner for CNER.
Mar 15, 2024 · This study aims to explore the research methodology of applying the Transformer model algorithm to Chinese word sense disambiguation.
Aug 30, 2019 · This paper constructs a speech recognition system for Sichuan dialect by combining a hidden Markov model (HMM) and a deep long short-term memory (LSTM) network.