Quantitative evaluation of coreference algorithms in an information extraction system

2000 ◽  
pp. 145 ◽  
Author(s):  
Robert Gaizauskas ◽  
Kevin Humphreys
Keyword(s):  
Information Extraction ◽  
Quantitative Evaluation ◽  
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
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