scholarly journals A Comparative Mention-Pair Models for Coreference Resolution in DARI Language for Information Extraction

2019 ◽  
Author(s):  
Ghezal Ahmad Jan Zia ◽  
Ahmad Zia Sharifi ◽  
Fazl Ahmad Amini ◽  
Niaz Mohammad Ramaki
Keyword(s):  
Information Extraction ◽  
Coreference Resolution

scholarly journals USING MULTIPLE SEMANTIC MEASURES FOR COREFERENCE RESOLUTION IN ONTOLOGY POPULATION

2017 ◽  
pp. 166-176 ◽  
Author(s):  
Natalia Garanina ◽  
Elena Sidorova ◽  
Irina Kononenko ◽  
Sergei Gorlatch
Keyword(s):  
Information Extraction ◽  
Semantic Similarity ◽  
Similarity Measures ◽  
Coreference Resolution ◽  
Complex Objects ◽  
Specific Content ◽  
Population Process ◽  
Resolution Process ◽  
Formal Framework ◽  
Ontology Population

The problem of populating an ontology consists in adding to it some new, domain-specific content from an input expressed, in particular, in a natural language. We focus on an important aspect in the ontology population process – finding and resolving coreferences, i.e., similar mentions of entities in the input text. Our contribution is a novel formal framework that extends the state-of-the-art approaches to coreference resolution by using multiple semantic similarity properties in the resolution process, i.e., we extend the list of the ontological properties used for coreference resolution with additional properties such as inverse, symmetry, intersection, union, etc. We use the proposed framework to improve our previously proposed algorithm for coreference resolution used in our general approach to text analysis and information extraction for populating subject domain ontologies. We describe a multi-agent implementation of our information extraction system and we show that using additional semantic similarity measures for evaluating coreferential candidates improves the quality of the coreference resolution process, especially for complex objects whose coreferencing has not been yet studied in detail.

scholarly journals Event Coreference Resolution: A Survey of Two Decades of Research

2018 ◽  
Author(s):  
Jing Lu ◽  
Vincent Ng
Keyword(s):  
Information Extraction ◽  
Coreference Resolution ◽  
Gradual Shift ◽  
Event Based ◽  
Made In

Recent years have seen a gradual shift of focus from entity-based tasks to event-based tasks in information extraction research. Being a core event-based task, event coreference resolution is less studied but arguably more challenging than entity coreference resolution. This paper provides an overview of the major milestones made in event coreference research since its inception two decades ago.

Control over spatial representation format enhances information extraction but prevents long-term learning.

2020 ◽  
Vol 112 (1) ◽  
pp. 148-165
Author(s):  
Julia Moritz ◽  
Hauke S. Meyerhoff ◽  
Stephan Schwan
Keyword(s):  
Information Extraction ◽  
Spatial Representation

Segmentation of corrosion damage images with unknown background by energy minimization. Information Extraction and Processing

2018 ◽  
Vol 2018 (46) ◽  
pp. 38-42
Author(s):  
T. S. Mandziy ◽  
◽  
I. B. Ivasenko ◽  
Keyword(s):  
Information Extraction ◽  
Energy Minimization ◽  
Corrosion Damage

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.

Drug discovery through information extraction technology

2002 ◽  
Author(s):  
Lois C. Childs ◽  
Carl E. Weir ◽  
Robin McEntire ◽  
Paula Matuszek ◽  
James Butler ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Information Extraction ◽  
Extraction Technology
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