Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies
Querying structured databases with natural language (NL2SQL) has remained a difficult
problem for years. Recently, the advancement of machine learning (ML), natural language …
problem for years. Recently, the advancement of machine learning (ML), natural language …
NALSpatial: A Natural Language Interface for Spatial Databases
M Liu, X Wang, J Xu, H Lu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Spatial databases play a vital role in a number of applications ranging from geographic
information systems to location-based services. Application tasks typically access underlying …
information systems to location-based services. Application tasks typically access underlying …
NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data
Spatial databases play a vital role in many applications that access spatial data via
appropriate queries. However, most application users lack the expertise necessary for …
appropriate queries. However, most application users lack the expertise necessary for …
Preserving Context Continuity During Modality Transitions in Conversational Agents Using Neural Network Architectures
JI DeBruyn - 2024 - search.proquest.com
Abstract his study explored the role of artificial intelligence (AI)-powered conversational
agents in human-computer interaction, particularly in the post-coronavirus (COVID-19) era …
agents in human-computer interaction, particularly in the post-coronavirus (COVID-19) era …
NLITS: A Natural Language Interface for Time Series Databases
Y Lin, J Xu, X Wang, Y Zhang - Asia-Pacific Web (APWeb) and Web-Age …, 2024 - Springer
Time series data has become an important part of many fields. The management of time
series data is becoming increasingly important due to the growing demand for applications …
series data is becoming increasingly important due to the growing demand for applications …