ClueReader: Heterogeneous Graph Attention Network for Multi-Hop Machine Reading Comprehension
Multi-hop machine reading comprehension is a challenging task in natural language
processing as it requires more reasoning ability across multiple documents. Spectral models …
processing as it requires more reasoning ability across multiple documents. Spectral models …
A Dual Robust Graph Neural Network Against Graph Adversarial Attacks
Q Tao, J Liao, E Zhang, L Li - Neural Networks, 2024 - Elsevier
Abstract Graph Neural Networks (GNNs) have gained widespread usage and achieved
remarkable success in various real-world applications. Nevertheless, recent studies reveal …
remarkable success in various real-world applications. Nevertheless, recent studies reveal …
Symbol question conversion in structured query language using fuzzy with deep attention based rain LSTM
Effective communication between human and machine is achieved using Natural Language
Processing (NLP). However, the users are not aware about the Structured Query Language …
Processing (NLP). However, the users are not aware about the Structured Query Language …
Task2Morph: Differentiable Task-Inspired Framework for Contact-Aware Robot Design
Optimizing the morphologies and the controllers that adapt to various tasks is a critical issue
in the field of robot design, aka. embodied intelligence. Previous works typically model it as …
in the field of robot design, aka. embodied intelligence. Previous works typically model it as …
Bravely Say I Don't Know: Relational Question-Schema Graph for Text-to-SQL Answerability Classification
Recently, the Text-to-SQL task has received much attention. Many sophisticated neural
models have been invented that achieve significant results. Most current work assumes that …
models have been invented that achieve significant results. Most current work assumes that …
ClueReader: Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension
P Gao, F Gao, P Wang, JC Ni, F Wang… - arxiv preprint arxiv …, 2021 - arxiv.org
Multi-hop machine reading comprehension is a challenging task in natural language
processing as it requires more reasoning ability across multiple documents. Spectral models …
processing as it requires more reasoning ability across multiple documents. Spectral models …
Context-Dependent Text-to-SQL Generation with Intermediate Representation
X Gao, J Zhao - Pacific Rim International Conference on Artificial …, 2023 - Springer
In recent years, the Text-to-SQL task has become a research hotspot in semantic analysis.
Among them, context-dependent Text-to-SQL task has received more and more attention as …
Among them, context-dependent Text-to-SQL task has received more and more attention as …
On the shortcut learning in multilingual neural machine translation
In this study, we revisit the commonly-cited off-target issue in multilingual neural machine
translation (MNMT). By carefully designing experiments on different MNMT scenarios and …
translation (MNMT). By carefully designing experiments on different MNMT scenarios and …
Commutative Transformations in Multi-Model Databases
SV Zykin, VS Zykin - 2023 Dynamics of Systems, Mechanisms …, 2023 - ieeexplore.ieee.org
Recently there has been an increased interest in multi-model databases. This interest is
motivated by big data technology and the need for horizontal scaling of stored data. To solve …
motivated by big data technology and the need for horizontal scaling of stored data. To solve …