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pro vyhledávání: '"Daniel JR"'
Publikováno v:
Journal of Information Science Theory and Practice, Vol 11, Iss 3 (2023)
This study aimed to discover the notable experiences of Library and Information Science students in a virtual internship program. It employed qualitative descriptive research design by thematically analyzing the monthly internship journal of the inte
Externí odkaz:
https://doaj.org/article/e06f311aa88c4234800ba8fa679725ff
Autor:
Taleb, Omar, Jutkofsky, Matthew, Measel, Ryan, Blatt, Michael Patrick, Hmeidat, Nadim S., Barnett, Philip R., Koerner, Hilmar, Hallinan, Daniel, Jr.
Publikováno v:
In International Journal of Heat and Mass Transfer 15 December 2024 235
Publikováno v:
Digital Library Perspectives, 2023, Vol. 39, Issue 4, pp. 571-603.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLP-01-2023-0004
Autor:
Daniel Jr., Christopher, Arafa, Ahmed
A status updating system is considered in which multiple data sources generate packets to be delivered to a destination through a shared energy harvesting sensor. Only one source's data, when available, can be transmitted by the sensor at a time, sub
Externí odkaz:
http://arxiv.org/abs/2109.07459
Autor:
Kohler, Curt, Daniel Jr, Ron
In the summer of 2020 OpenAI released its GPT-3 autoregressive language model to much fanfare. While the model has shown promise on tasks in several areas, it has not always been clear when the results were cherry-picked or when they were the unvarni
Externí odkaz:
http://arxiv.org/abs/2106.14720
Autor:
Sharma, Shreyas, Daniel Jr, Ron
Biomedical Named Entity Recognition (NER) is a challenging problem in biomedical information processing due to the widespread ambiguity of out of context terms and extensive lexical variations. Performance on bioNER benchmarks continues to improve du
Externí odkaz:
http://arxiv.org/abs/1908.05760
Publikováno v:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019)
Structured queries expressed in languages (such as SQL, SPARQL, or XQuery) offer a convenient and explicit way for users to express their information needs for a number of tasks. In this work, we present an approach to answer these directly over text
Externí odkaz:
http://arxiv.org/abs/1811.06303
Publikováno v:
The 27th International Conference on Computational Linguistics (COLING 2018)
Open Information Extraction (OIE) is the task of the unsupervised creation of structured information from text. OIE is often used as a starting point for a number of downstream tasks including knowledge base construction, relation extraction, and que
Externí odkaz:
http://arxiv.org/abs/1802.05574
Autor:
McBeath, Darin, Daniel Jr, Ron
Annotation Query (AQ) is a program that provides the ability to query many different types of NLP annotations on a text, as well as the original content and structure of the text. The query results may provide new annotations, or they may select subs
Externí odkaz:
http://arxiv.org/abs/1802.00728