Automatic extraction of causal chains from text

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...

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An Automatic Extraction Approach to Fractional Vegetation Cover of Saline Land with Digital Images

Geo-information Science ◽

10.3724/sp.j.1047.2013.00618 ◽

2013 ◽

Vol 15 (4) ◽

pp. 618 ◽

Cited By ~ 1

Author(s):

Yanling DING ◽

Kai ZHAO ◽

Xiaofeng LI ◽

Xingming ZHENG

Keyword(s):

Vegetation Cover ◽

Digital Images ◽

Automatic Extraction ◽

Fractional Vegetation Cover ◽

Saline Land

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Towards Automatic Extraction of Prosodic Patterns for Speech Synthesis

10.21437/speechprosody.2014-210 ◽

2014 ◽

Author(s):

Mónica Domínguez ◽

Mireia Farrús ◽

Alicia Burga ◽

Leo Wanner

Keyword(s):

Speech Synthesis ◽

Automatic Extraction

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RESEARCH ON AUTOMATIC EXTRACTION OF DEFOCUS IMAGES IN UAV AERIAL IMAGES

Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics) ◽

10.2208/jscejcei.75.2_i_106 ◽

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

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Production and Relevance

10.1093/oso/9780198779711.003.0007 ◽

2017 ◽

Author(s):

Stuart Glennan

Keyword(s):

Causal Relevance ◽

Fundamental Physics ◽

Causal Chains

This chapter offers an account of mechanistic production, which is contrasted with Salmon and Dowe’s theory of physical production. It provides a new analysis of the nature of events, and an account of how those events can form productive causal chains. This account identifies three distinct kinds of production: constitutive, precipitating, and chained. The chapter shows how the New Mechanist account addresses a number of standard problems for theories of causation, and for mechanistic theories in particular. These include how mechanistic production could be grounded in fundamental physics, how productive theories can explain causation by omission, prevention, and disconnection, how to explain causal relevance without appeal to counterfactuals, and how to understand the relation between production and constitution in inter-level causal claims. The chapter concludes by discussing how the New Mechanist approach to causation and constitution leads to a sensible account of the nature and limits of reduction and emergence.

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MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms

Remote Sensing ◽

10.3390/rs13142810 ◽

2021 ◽

Vol 13 (14) ◽

pp. 2810

Author(s):

Joanna Gudowicz ◽

Renata Paluszkiewicz

Keyword(s):

Rapid Development ◽

Assessment Tools ◽

Lidar Data ◽

Automatic Extraction ◽

Sensing Technology ◽

Digital Elevation ◽

Elevation Data ◽

Elevation Model ◽

Morphometric Assessment ◽

Morphometric Evaluation

The rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, sinkholes, craters, and others. The aim of this study was to develop a geographic information systems (GIS) toolbox for the automatic extraction of 26 morphometric characteristics, which include the geometry, hypsometry, and volume of concave landforms. The Morphometry Assessment Tools (MAT) toolbox in the ArcGIS software was developed. The required input data are a digital elevation model and the form boundary as a vector layer. The method was successfully tested on an example of 21 erosion-denudation valleys located in the young glacial area of northwest Poland. Calculations were based on elevation data collected in the field and LiDAR data. The results obtained with the tool showed differences in the assessment of the volume parameter at the average level of 12%, when comparing the field data and LiDAR data. The algorithm can also be applied to other types of concave forms, as well as being based on other DEM data sources, which makes it a universal tool for morphometric evaluation.

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