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Insufficient reporting quality in large language model studies in the field of radiology. [PDF]

Insights Imaging
Suh PS, Jeong SY, Ueda D, Shim WH, Heo H, Woo CY, Park H, Suh CH.   +7 more
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Detecting Positive Medical History Mentions

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
In medical practice, knowing the medical history of a patient is crucial for diagnosis and treatment suggestion. However, such information is often recorded in unstructured notes from doctors, potentially mixed with the medical history of family members and mentions of disorders for other reasons (e.g. as potential side-effects).
Bing Bai, Pierre-Francois Laquerre, Richard Jackson, Robert Stewart   +3 more
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Knowledge-Based Chat Detection with False Mention Discrimination

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Chat detection is critical for recently emerged personal intelligent assistants (PIA), which can be seen as a hybrid of domain-specific task-oriented spoken dialogue systems and open-domain non-task-oriented ones. Recent advances have attempted to utilize external domain knowledge to enhance utterance semantics understanding and can contribute to chat ...
Wei Liu, Peijie Huang, Dongzhu Liang, Zihao Zhou   +3 more
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Mention Detection Method for Entity Linking

2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), 2019
This paper proposes a method for detecting entity mentions in the given text. The method consists of two sequential labelling steps. The first sequential labelling is responsible for identifying a chunk of words (morphemes) mentioning an entity. The second sequential labelling verifies whether or not each chunk (or un-chunked word) is really an entity.
Naotaka Kawata, Genichiro Kikui
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Information Extraction: Robust Mention Detection Systems

2012
Information-extraction (IE) research typically focuses on clean-text inputs. However, as we will see in this chapter, an IE engine serving real-world applications yields a high rate of false alarms, due to noisy, less-well-formed input. For example, an application processing output from a multilingual media monitoring system (e.g., TV broadcast) will ...
Imed Zitouni, John F. Pitrelli, Radu Florian   +2 more
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Cross-Language Information Propagation for Arabic Mention Detection

ACM Transactions on Asian Language Information Processing, 2009
In the last two decades, significant effort has been put into annotating linguistic resources in several languages. Despite this valiant effort, there are still many languages left that have only small amounts of such resources. The goal of this article is to present and investigate a method of propagating information (specifically mention detection ...
Imed Zitouni, Radu Florian
openaire   +1 more source