Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Tobias Hey"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The increasing use of CT imaging in emergency departments, despite efforts of reducing low-value imaging, is not fully understood, especially during and after the COVID-19 pandemic. The aim of this study was to investigate the imp
Externí odkaz:
https://doaj.org/article/efea38192da34409a2330ff9fed0a0a8
Autor:
Tobias Hey, Jan Keim
Publikováno v:
International Journal of Humanized Computing and Communication. 1:43-66
Systems such as Alexa, Cortana, and Siri appear rather smart. However, they only react to predefined wordings and do not actually grasp the user’s intent. To overcome this limitation, a system must understand the topics the user is talking about. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b2e3ecfba04e315236de5744fe54cf9
https://doi.org/10.35708/hcc1868-126364
https://doi.org/10.35708/hcc1868-126364
Publikováno v:
RE
Classifying requirements is crucial for automatically handling natural language requirements. The performance of existing automatic classification approaches diminishes when applied to unseen projects because requirements usually vary in wording and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c83926de9ec24e0d3282ebc64f4b802f
Publikováno v:
ICSME
Traceability information is a fundamental prerequisite for many essential software maintenance and evolution tasks, such as change impact and software reusability analyses. However, manually generating traceability information is costly and error-pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::505bef05c027e7ac494cfac749a34765
https://doi.org/10.1109/icsme52107.2021.00008
https://doi.org/10.1109/icsme52107.2021.00008
Publikováno v:
RE Workshops
Understanding the meaning and the senses of expressions is essential to analyze natural language requirements. Disambiguation of expressions in their context is needed to prevent misinterpretations. Current knowledge-based disambiguation approaches o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2637fb1808de7e4c988d5f098e8f7dc5
Publikováno v:
ICSC
Intelligent systems are rather smart today but still limited to built-in functionality. To break through this barrier, future systems must allow users to easily adapt the system by themselves. For humans the most natural way to communicate is talking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ce34aab528c058aaf770636b6c8f94d
https://doi.org/10.1109/icsc.2020.00020
https://doi.org/10.1109/icsc.2020.00020
Publikováno v:
ACL
The key to effortless end-user programming is natural language. We examine how to teach intelligent systems new functions, expressed in natural language. As a first step, we collected 3168 samples of teaching efforts in plain English. Then we built f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118e147ee059a34ffd308f976a009d5c
https://doi.org/10.18653/v1/2020.acl-main.395
https://doi.org/10.18653/v1/2020.acl-main.395
Publikováno v:
International journal of semantic computing, 14 (2), 249–272
Systems with conversational interfaces are rather popular nowadays. However, their full potential is not yet exploited. For the time being, users are restricted to calling predefined functions. Soon, users will expect to customize systems to their ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8fd7758efa477dcbb12cf1da4aaacc
Publikováno v:
2019 IEEE International Conference on Humanized Computing and Communication (HCC).
Systems such as Alexa, Cortana, and Siri appear rather smart. However, they only react to predefined wordings and do not actually grasp the user's intent. To overcome this limitation, a system must grasp the topics the user is talking about. Therefor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eb9a988bcb72335e768d64b09fd9214
https://doi.org/10.1109/hcc46620.2019.00014
https://doi.org/10.1109/hcc46620.2019.00014
Autor:
Tobias Hey
Publikováno v:
ICSE (Companion Volume)
Traceability information is important for software maintenance, change impact analysis, software reusability, and other software engineering tasks. However, manually generating this information is costly. State-of-the-art automation approaches suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa28635053e0384ec3f5c480bc984517