Results 41 to 50 of about 46,914,641 (236)

Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016). Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016. [PDF]

Вопросы ономастики, 2018
The reviewed book by Damien Nouvel, Maud Ehrmann, and Sophie Rosset Named Entities for Computational Linguistics deals with automatic processing of texts, written in a natural language, and with named entities recognition, aimed at extracting most ...
Daria M. Golikova
doaj   +1 more source

Ontology-Based Knowledge Acquisition Method for Natural Language Texts

Цифровая трансформация, 2023
The main task of knowledge acquisition (also named knowledge extraction) from natural language texts is to extract knowledge from natural language texts into fragment of knowledge base of intelligent system.
Longwei Qian
doaj   +1 more source

Constructing Uyghur Commonsense Knowledge Base by Knowledge Projection

Applied Sciences, 2019
Although considerable effort has been devoted to building commonsense knowledge bases (CKB), it is still not available for many low-resource languages such as Uyghur because of expensive construction cost.
Azmat Anwar, Xiao Li, Yating Yang, Yajuan Wang   +3 more
doaj   +1 more source

Virtual patients as the basis for problem-based learning of cardiologists

Бюллетень сибирской медицины, 2021
Implementation of virtual patients allows avoiding risks for patient safety, using the standardized clinical situations repeatedly, and providing remote access to information. In order to create virtual patients, the project team comprised of specialists
S. I. Karas, M. B. Arzhanik, E. E. Kara-Sal, E. V. Grakova, O. Y. Vasiltseva, W. Y. Ussov, V. Kh. Vaizov, K. V. Zavadovsky, V. M. Gulyaev, A. E. Baev, S. O. Kolganov, S. B. Kochetkov, V. V. Datsuk, T. B. Korneeva, G. K. Nozdrin   +14 more
doaj   +1 more source

Observed versus latent features for knowledge base and text inference

Workshop on Continuous Vector Space Models and their Compositionality, 2015
In this paper we show the surprising effectiveness of a simple observed features model in comparison to latent feature models on two benchmark knowledge base completion datasets, FB15K and WN18.
Kristina Toutanova, Danqi Chen
semanticscholar   +1 more source

A simple and inexpensive design of radioactive source for accurate level and height gauging in petrochemical industries

Measurement: Sensors
Radiation sources are used for measurement and control of industrial processes, determining the height of materials inside the vessel, analyzing the composition and structure of materials, and detecting defects in industrial processes due to the ...
S.Z. Islami rad, R. Gholipour Peyvandi
doaj   +1 more source

Optimal decisions of countries with carbon tax and carbon tariff

Journal of Industrial Engineering and Management, 2015
Purpose: Reducing carbon emission has been the core problem of controlling global warming and climate deterioration recently. This paper focuses on the optimal carbon taxation policy levied by countries and the impact on firms’ optimal production ...
Yumei Hou, Meng Jia, Xin Tian, Fangfang Wei, Kun Wei   +4 more
doaj   +1 more source

GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables

International Journal of Digital Earth, 2020
When defining indicators on the environment, the use of existing initiatives should be a priority rather than redefining indicators each time. From an Information, Communication and Technology perspective, data interoperability and standardization are ...
Anthony Lehmann, Stefano Nativi, Paolo Mazzetti, Joan Maso, Ivette Serral, Daniel Spengler, Aidin Niamir, Ian McCallum, Pierre Lacroix, Petros Patias, Denisa Rodila, Nicolas Ray, Grégory Giuliani   +12 more
doaj   +1 more source

Boosting Knowledge Base Automatically via Few-Shot Relation Classification

Frontiers in Neurorobotics, 2020
Relation classification (RC) aims at extracting structural information, i.e., triplets of two entities with a relation, from free texts, which is pivotal for automatic knowledge base construction. In this paper, we investigate a fully automatic method to
Ning Pang, Zhen Tan, Hao Xu, Weidong Xiao   +3 more
doaj   +1 more source

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base

International Conference on Computational Linguistics, 2020
Domain knowledge is important for building Natural Language Processing (NLP) systems for low-resource settings, such as in the clinical domain. In this paper, a novel joint training method is introduced for adding knowledge base information from the ...
Boran Hao, Henghui Zhu, I. Paschalidis
semanticscholar   +1 more source