This survey article describes previous research addressing text‐based document
geocoding, ie the task of predicting the geospatial coordinates of latitude and longitude, that …

The present paper provides a review of two research topics that are central to geospatial
semantics: information modeling and elicitation. The first topic deals with the development of …

Though acoustic speech emotion recognition has been studied for a while, bimodal speech
emotion recognition using both acoustic and text has gained momentum since speech …

Artificial intelligence (AI) has made remarkable progress across various domains, with large
language models like ChatGPT gaining substantial attention for their human-like text …

Recent research shows synthetic data as a source of supervision helps pretrained language
models (PLM) transfer learning to new target tasks/domains. However, this idea is less …

Underground utility incidents, such as utility conflicts and utility strikes, result in time and cost
overruns in construction projects, property damages, environmental pollution, personnel …

This paper concentrates on the different meanings of machine learning (ML) from its origins
to the present and potential future, focusing on contributions within the discipline of …

Spatial relation extraction (eg, topological relations, directional relations, and distance
relations) from natural language descriptions is a fundamental but challenging task in …

In embodied cognition, physical experiences are believed to shape abstract cognition, such
as natural language and reasoning. Image schemas were introduced as spatio-temporal …

Geographic text analysis (GTA) research in the digital humanities has focused on projects
analyzing modern English-language corpora. These projects depend on temporally specific …