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Found 5 papers, 0 papers with code
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
Medications often impose temporal constraints on everyday patient activity.
CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization
The evaluation results on real-world city requirements show that CitySpec increases the sentence-level accuracy of requirement specification from 59. 02% to 86. 64%, and has strong adaptability to a new city and a new domain (e. g., the F1 score for requirements in Seattle increases from 77. 6% to 93. 75% with online learning).
Theme-driven Keyphrase Extraction to Analyze Social Media Discourse
Lastly, we found that a large language model (ChatGPT) outperforms unsupervised keyphrase extraction models, and we evaluate its efficacy in this task.
An Intelligent Assistant for Converting City Requirements to Formal Specification
In this paper, we present CitySpec, an intelligent assistant system for requirement specification in smart cities.
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities
An increasing number of monitoring systems have been developed in smart cities to ensure that real-time operations of a city satisfy safety and performance requirements.
