Automatic Extraction of Structured Information from Drug Descriptions

2018 ◽  
pp. 21-31 ◽  
Author(s):  
Radu Razvan Slavescu ◽  
Constantin Maşca ◽  
Kinga Cristina Slavescu
Keyword(s):  
Automatic Extraction ◽  
Structured Information

scholarly journals Exploring the Adaptation of Recurrent Neural Network Approaches for Extracting Drug–Drug Interactions from Biomedical Text

2021 ◽  
Vol 11 (4) ◽  
pp. 267-273
Author(s):  
Wen-Juan Hou ◽  
◽  
Bamfa Ceesay
Keyword(s):  
Text Processing ◽  
Named Entity Recognition ◽  
Event Extraction ◽  
Entity Recognition ◽  
Biomedical Text ◽  
Automatic Extraction ◽  
Named Entity ◽  
Structured Information ◽  
Network Approaches ◽  
Form Information

Information extraction (IE) is the process of automatically identifying structured information from unstructured or partially structured text. IE processes can involve several activities, such as named entity recognition, event extraction, relationship discovery, and document classification, with the overall goal of translating text into a more structured form. Information on the changes in the effect of a drug, when taken in combination with a second drug, is known as drug–drug interaction (DDI). DDIs can delay, decrease, or enhance absorption of drugs and thus decrease or increase their efficacy or cause adverse effects. Recent research trends have shown several adaptation of recurrent neural networks (RNNs) from text. In this study, we highlight significant challenges of using RNNs in biomedical text processing and propose automatic extraction of DDIs aiming at overcoming some challenges. Our results show that the system is competitive against other systems for the task of extracting DDIs.

TO THE QUESTION OF THE SYSTEMATIC NATURE OF ELECTRONIC EDUCATIONAL MATERIALS FOR HIGHER EDUCATION

2019 ◽  
pp. 54-62
Author(s):  
K. R. Ovchinnikova
Keyword(s):  
Learning Process ◽  
Information Technologies ◽  
Electronic Materials ◽  
Subject Area ◽  
Design Activity ◽  
Learning Technology ◽  
Educational Materials ◽  
Scientific Publications ◽  
Structured Information ◽  
Single Complex

The relevance of the issue under consideration in the article is connected with the confusion in scientific publications of the concepts of “electronic educational materials” and “electronic educational resources”. The article discusses the concept of “electronic educational materials” from the perspective of general systems theory. And their system character is proved. This allows them to be represented as a single complex of structured information of a specific subject area and didactic materials. These didactic materials support the learning process at all stages of its didactic cycle in accordance with the chosen learning technology based on the didactic capabilities of information technologies. It is concluded that the system of high school electronic materials allows to expand the boundaries of the design activity of the teacher, provide management of the student’s thinking activity, to implement a competence approach to the learning process at university

Explanatory Annotation of Literary Texts and the Reader: Seven Types of Problems

2017 ◽  
Vol 11 (2) ◽  
pp. 212-232 ◽  
Author(s):  
Matthias Bauer ◽  
Angelika Zirker
Keyword(s):  
Text Comprehension ◽  
Best Practice ◽  
Literary Texts ◽  
Structured Information ◽  
Digital Methods ◽  
Common Problems

While most literary scholars wish to help readers understand literary texts by providing them with explanatory annotations, we want to go a step further and enable them, on the basis of structured information, to arrive at interpretations of their own. We therefore seek to establish a concept of explanatory annotation that is reader-oriented and combines hermeneutics with the opportunities provided by digital methods. In a first step, we are going to present a few examples of existing annotations that apparently do not take into account readerly needs. To us, they represent seven types of common problems in explanatory annotation. We then introduce a possible model of best practice which is based on categories and structured along the lines of the following questions: What kind(s) of annotations do improve text comprehension? Which contexts must be considered when annotating? Is it possible to develop a concept of the reader on the basis of annotations—and can, in turn, annotations address a particular kind of readership, i.e.: in how far can annotations be(come) individualised?

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Automatic Extraction of Acronyms from Text

2020 ◽  
Author(s):  
Stuart Yeates
Keyword(s):  
Digital Library ◽  
False Positives ◽  
Automatic Extraction ◽  
False Negatives ◽  
Library Research ◽  
Communications Theory ◽  
Textual Content

A brief introduction to acronyms is given and motivation for extracting them in a digital library environment is discussed. A technique for extracting acronyms is given with an analysis of the results. The technique is found to have a low number of false negatives and a high number of false positives. Introduction Digital library research seeks to build tools to enable access of content, while making as few as possible assumptions about the content, since assumptions limit the range of applicability of the tools. Generally, the broader the assumptions the more widely applicable the tools. For example, keyword based indexing [5] is based on communications theory and applies to all natural human textual languages (allowances for differences in character sets and similar localisation issues not withstanding) . The algorithm described in this paper makes much stronger assumptions about the content. It assumes textual content that contains acronyms, an assumption which is known to hold for...

Towards Automatic Extraction of Prosodic Patterns for Speech Synthesis

2014 ◽  
Author(s):  
Mónica Domínguez ◽  
Mireia Farrús ◽  
Alicia Burga ◽  
Leo Wanner
Keyword(s):  
Speech Synthesis ◽  
Automatic Extraction

RESEARCH ON AUTOMATIC EXTRACTION OF DEFOCUS IMAGES IN UAV AERIAL IMAGES

2019 ◽  
Vol 75 (2) ◽  
pp. I_106-I_113
Author(s):  
Etsuji KITAGAWA ◽  
Ryo KATO ◽  
Satoshi ABIKO ◽  
Takumi TSUMURA ◽  
Yusuke NAKATANI
Keyword(s):  
Aerial Images ◽  
Automatic Extraction
Sign in / Sign up

Export Citation Format

Share Document