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Stratigraphic Analysis and The Matrix: connecting and reusing digital records and archives of archaeological investigations

open access: yesInternet Archaeology, 2023
Summary Illustration showing archaeological stratigraphic laws and principles Illustration of archaeological stratigraphic laws and principles. Taken from What is The Matrix? How do archaeologists use stratigraphy?
Keith May, James S. Taylor, Ceri Binding
doaj   +1 more source

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2023
Reasoning about time is of fundamental importance. Many facts are time-dependent. For example, athletes change teams from time to time, and different government officials are elected periodically.
Qingyu Tan, H. Ng, Lidong Bing
semanticscholar   +1 more source

Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning [PDF]

open access: yesarXiv.org, 2023
Large language models (LLMs) have achieved remarkable success across a wide spectrum of tasks; however, they still face limitations in scenarios that demand long-term planning and spatial reasoning.
Mohamed Aghzal, E. Plaku, Ziyu Yao
semanticscholar   +1 more source

The Matrix: Connecting Time and Space in Archaeological Stratigraphic Records and Archives

open access: yesInternet Archaeology, 2020
The records of archaeological stratigraphic data and the relationships between stratigraphic units are fundamental to understanding the overall cohesiveness of the archaeological archive of an excavation.
Keith May
doaj   +1 more source

A Novel Spatio-Temporal-Wise Network for Action Recognition

open access: yesIEEE Access, 2023
Action recognition is a challenging task that requires understanding the temporal relationships between frames. However, capturing and processing spatio-temporal and motion features is computationally expensive, making it difficult to apply to practical ...
Zhengbao Cai
doaj   +1 more source

TRAM: Benchmarking Temporal Reasoning for Large Language Models [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2023
Reasoning about time is essential for understanding the nuances of events described in natural language. Previous research on this topic has been limited in scope, characterized by a lack of standardized benchmarks that would allow for consistent ...
Yuqing Wang, Yun Zhao
semanticscholar   +1 more source

Quantitative temporal reasoning [PDF]

open access: yesReal-Time Systems, 1992
A substantially large class of programs operate in distributed and real-time environments, and an integral part of their correctness specification requires the expression of time-critical properties that relate the occurrence of events of the system. We focus on the formal specification and reasoning about the correctness of such programs. We propose a
E. Allen Emerson   +3 more
openaire   +3 more sources

Education of clinical reasoning in patients with multimorbidity: a scoping review and perspectives for technology-enhanced learning

open access: yesFrontiers in Education, 2023
Multimorbidity is defined as the co-existence of two or more chronic diseases in a patient, and it is increasing in prevalence. This condition poses new problems for clinical reasoning.
Fabrizio Consorti   +6 more
doaj   +1 more source

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning [PDF]

open access: yesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Knowledge Graph (KG) reasoning that predicts missing facts for incomplete KGs has been widely explored. However, reasoning over Temporal KG (TKG) that predicts facts in the future is still far from resolved.
Zixuan Li   +7 more
semanticscholar   +1 more source

Predicting Crime and Other Uses of Neural Networks in Police Decision Making

open access: yesFrontiers in Psychology, 2021
Neural networks are a machine learning method that excel in solving classification and forecasting problems. They have also been shown to be a useful tool for working with big data oriented environments such as law enforcement.
Steven Walczak
doaj   +1 more source

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