A rule-based information extraction system for human-readable semi-structured scientific documents

2015 ◽  
Author(s):  
Gang Chen ◽  
Baoran An ◽  
Sifeng Zeng
Keyword(s):  
Information Extraction ◽  
Extraction System ◽  
Rule Based ◽  
Information Extraction System

scholarly journals A Rule-based Information Extraction System

2019 ◽  
Vol 8 (9) ◽  
pp. 1613-1617 ◽  
Keyword(s):  
Information Extraction ◽  
Online News ◽  
Extraction System ◽  
Web Data ◽  
Media Communication ◽  
Rule Based ◽  
Exact Answer ◽  
Proposed Model ◽  
Information Extraction System ◽  
User Queries

Designing intelligent expert systems capable of answering different human queries is a challenging and emerging area of research. A huge amount of web data is available online and majority of which are in the form of unstructured documents covering articles, online news, corporate reports, medical records, social media communication data, etc. A user in need of certain information has to assess all the relevant documents to obtain the exact answer of their queries which is a time consuming and tedious work. Also, sometimes it becomes quite difficult to obtain the exact information from a list of documents quickly as and when required unless the whole document is read. This paper presents a rule-based information extraction system for unstructured web data that access the document contents quickly and provides the relevant answers to the user queries in a structured format. A number of tests were conducted to determine the overall performance of the proposed model and the results obtained in all the experiments performed shows the effectiveness of the model in providing required answers to different user queries quickly.

scholarly journals German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues

2016 ◽  
Author(s):  
Anna Druzhkina ◽  
Alexey Leontyev ◽  
Maria Stepanova
Keyword(s):  
Information Extraction ◽  
System Analysis ◽  
Extraction System ◽  
Rule Based ◽  
Information Extraction System

scholarly journals RLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation Information

2015 ◽  
Vol 12 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Manabu Torii ◽  
Cecilia N. Arighi ◽  
Gang Li ◽  
Qinghua Wang ◽  
Cathy H. Wu ◽  
...  
Keyword(s):  
Information Extraction ◽  
Protein Phosphorylation ◽  
Extraction System ◽  
Literature Mining ◽  
Rule Based ◽  
Information Extraction System

Fast-robust book information extraction system for automated intelligence library

2021 ◽  
Author(s):  
Yusen Xie ◽  
Ting Sun ◽  
Xinglong Cui ◽  
Shuixin Deng ◽  
Lei Deng ◽  
...  
Keyword(s):  
Information Extraction ◽  
Extraction System ◽  
Information Extraction System

InferPortOIE: A Portuguese Open Information Extraction system with inferences

2018 ◽  
Vol 25 (2) ◽  
pp. 287-306 ◽  
Author(s):  
Cleiton Fernando Lima Sena ◽  
Daniela Barreiro Claro
Keyword(s):  
Natural Language ◽  
Information Extraction ◽  
Digital Data ◽  
Extraction System ◽  
Open Information Extraction ◽  
The Web ◽  
Information Extraction System

AbstractNowadays, there is an increasing amount of digital data. In the case of the Web, daily, a vast collection of data is generated, whose contents are heterogeneous. A significant portion of this data is available in a natural language format. Open Information Extraction (Open IE) enables the extraction of facts from large quantities of texts written in natural language. In this work, we propose an Open IE method to extract facts from texts written in Portuguese. We developed two new rules that generalize the inference by transitivity and by symmetry. Consequently, this approach increases the number of implicit facts in a sentence. Our novel symmetric inference approach is based on a list of symmetric features. Our results confirmed that our method outstands close works both in precision and number of valid extractions. Considering the number of minimal facts, our approach is equivalent to the most relevant methods in the literature.

scholarly journals A Dialogue-based Information Extraction System for Medical Insurance Assessment

2021 ◽  
Author(s):  
Shuang Peng ◽  
Mengdi Zhou ◽  
Minghui Yang ◽  
Haitao Mi ◽  
Shaosheng Cao ◽  
...  
Keyword(s):  
Information Extraction ◽  
Medical Insurance ◽  
Extraction System ◽  
Information Extraction System
Sign in / Sign up

Export Citation Format

Share Document