Knowledge-Based Entity Resolution with Contextual Information Defined over a Monoid

2015 ◽  
pp. 128-135
Author(s):  
Klaus-Dieter Schewe ◽  
Qing Wang ◽  
Mariam Rady
Keyword(s):  
Contextual Information ◽  
Entity Resolution ◽  
Knowledge Based

Integration of knowledge-based and generative systems for building characterization and prediction

2010 ◽  
Vol 24 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Ajla Aksamija ◽  
Kui Yue ◽  
Hyunjoo Kim ◽  
Francois Grobler ◽  
Ramesh Krishnamurti
Keyword(s):  
Architectural Design ◽  
Contextual Information ◽  
Three Dimensional ◽  
Knowledge Bases ◽  
Shape Grammar ◽  
Interactive System ◽  
Existing Buildings ◽  
Knowledge Based ◽  
Building Models ◽  
Three Dimensional Models

AbstractThis paper discusses the integration of knowledge bases and shape grammars for the generation of building models, covering interaction, system, and implementation. Knowledge-based and generative systems are combined to construct a method for characterizing existing buildings, in particular, their interior layouts based on exterior features and certain other parameters such as location and real dimensions. The knowledge-based model contains information about spatial use, organization, elements, and contextual information, with the shape grammar principally containing style rules. Buildings are analyzed and layouts are generated through communication and interaction between these two systems. The benefit of using an interactive system is that the complementary properties of the two schemes are employed to strengthen the overall process. Ontologies capture knowledge relating to architectural design principles, building anatomy, structure, and systems. Shape grammar rules embody change through geometric manipulation and transformation. Existing buildings are analyzed using this approach, and three-dimensional models are automatically generated. Two particular building types, the vernacular rowhouse and high-rise apartment building, both from Baltimore, Maryland, are presented to illustrate the process and for comparing the utilized methodologies.

scholarly journals On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse

2019 ◽  
Vol 33 ◽  
pp. 6957-6964
Author(s):  
Vasanth Sarathy ◽  
Matthias Scheutz
Keyword(s):  
General Class ◽  
State Of The Art ◽  
Contextual Information ◽  
Anaphora Resolution ◽  
Proof Of Concept ◽  
Language Understanding ◽  
Concept System ◽  
Knowledge Based ◽  
Current State ◽  
Reasoning Systems

Anaphora resolution is a central problem in natural language understanding. We study a subclass of this problem involving object pronouns when they are used in simple imperative sentences (e.g., “pick it up.”). Specifically, we address cases where situational and contextual information is required to interpret these pronouns. Current state-of-the art statisticallydriven coreference systems and knowledge-based reasoning systems are insufficient to address these cases. In this paper, we introduce, with examples, a general class of situated anaphora resolution problems, propose a proof-of-concept system for disambiguating situated pronouns, and discuss some general types of reasoning that might be needed.

scholarly journals A theoretical framework for knowledge-based entity resolution

2014 ◽  
Vol 549 ◽  
pp. 101-126 ◽  
Author(s):  
Klaus-Dieter Schewe ◽  
Qing Wang
Keyword(s):  
Entity Resolution ◽  
Theoretical Framework ◽  
Knowledge Based

Hybrid models for sense guessing of Chinese unknown words

2008 ◽  
Vol 13 (1) ◽  
pp. 99-128 ◽  
Author(s):  
Xiaofei Lu
Keyword(s):  
Contextual Information ◽  
Hybrid Models ◽  
Improve Performance ◽  
Unknown Word ◽  
Fine Grained ◽  
Semantic Categories ◽  
Knowledge Based ◽  
Unknown Words ◽  
The Relationship

This paper addresses the problem of classifying Chinese unknown words into fine-grained semantic categories defined in a Chinese thesaurus, Cilin (Mei et al. 1984). We present three novel knowledge-based models that capture the relationship between the semantic categories of an unknown word and those of its component characters in three different ways, and combine two of them with a corpus-based model that uses contextual information to classify unknown words. Experiments show that the combined knowledge-based model outperforms previous methods on the same task, but the use of contextual information does not further improve performance.

scholarly journals Errors, Incidents and Accidents in Anaesthetic Practice

1993 ◽  
Vol 21 (5) ◽  
pp. 506-519 ◽  
Author(s):  
W. B. Runciman ◽  
A. Sellen ◽  
R. K. Webb ◽  
J. A. Williamson ◽  
M. Currie ◽  
...  
Keyword(s):  
Human Error ◽  
Contextual Information ◽  
Physiological State ◽  
Contributing Factors ◽  
Anaesthetic Practice ◽  
Knowledge Based ◽  
Technical Errors ◽  
Outcome Bias ◽  
Social And Cultural Factors

Human error is a pervasive and normal part of everyday life and is of interest to the anaesthetist because errors may lead to accidents. Definitions of, and the relationships between, errors, incidents and accidents are provided as the basis to this introduction to the psychology of human error in the context of the work of the anaesthetist. Examples are drawn from the Australian Incident Monitoring Study (AIMS). An argument is put forward for the use of contemporaneous incident reporting (eliciting relevant contextual information as well as details of use to cognitive psychologists), rather than the use of accident investigation after the event (with the inherent problems of scant information, altered perception and outcome bias). A classification of errors is provided. “Active” errors may be classified into knowledge-based, rule-based, skill-based and technical errors. Different strategies are required for the prevention of each type and it may now be useful to place more emphasis in anaesthetic practice on categories to which little attention has been directed in the past. “Latent” errors make an enormous contribution to problems in anaesthesia and several categories are discussed (e.g. environment, physiological state, equipment, work practices, personnel training, social and cultural factors). An approach is provided for the prevention and management of errors, incidents and accidents which allows clinical problems to be categorized, the relative importance of various contributing factors to be established, and appropriate preventative strategies to be devised and implemented on the basis of priorities determined from the AIMS data. Accidents cannot be abolished; however, an understanding of the factors underlying them can lead to the rational direction of resources and effort to prevent them and minimise their effects.

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

Connectives Increase Knowledge-Based Inferences

1994 ◽  
Author(s):  
Gregory Barker ◽  
Keith Millis ◽  
Jonathan M. Golding
Keyword(s):  
Knowledge Based

The contribution of low-level sensory features versus knowledge-based factors for encoding of objects in working memory

2013 ◽  
Author(s):  
Valerio Santangelo ◽  
Simona Arianna Di Francesco ◽  
Serena Mastroberardino ◽  
Emiliano Macaluso
Keyword(s):  
Working Memory ◽  
Low Level ◽  
Knowledge Based ◽  
Sensory Features
Sign in / Sign up

Export Citation Format

Share Document