Title2Vec: A contextual job title embedding for occupational named entity recognition and other applications
Occupational data mining and analysis is an important task in understanding today's
industry and job market. Various machine learning techniques are proposed and gradually …
industry and job market. Various machine learning techniques are proposed and gradually …
A transformer-based framework for poi-level social post geolocation
POI-level geo-information of social posts is critical to many location-based applications and
services. However, the multi-modality, complexity, and diverse nature of social media data …
services. However, the multi-modality, complexity, and diverse nature of social media data …
Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach
Itinerary recommendation is a complex sequence prediction problem with numerous real-
world applications. This task becomes even more challenging when considering the …
world applications. This task becomes even more challenging when considering the …
Analyzing Large Language Models' Capability in Location Prediction
In this paper, we investigate and evaluate large language models' capability in location
prediction. We present experimental results with four models—FLAN-T5, FLAN-UL2, FLAN …
prediction. We present experimental results with four models—FLAN-T5, FLAN-UL2, FLAN …
An Enhanced BERT Model for Depression Detection on Social Media Posts
R Nareshkumar, K Nimala - … Conference on Artificial Intelligence on Textile …, 2023 - Springer
Depression and other forms of mental illness are relatively common, and it has been shown
that these conditions have an effect on an entity's physical health. Newly, artificial …
that these conditions have an effect on an entity's physical health. Newly, artificial …