scholarly journals Modelling the Polysemy of Spatial Prepositions in Referring Expressions

2020 ◽  
Author(s):  
Adam Richard-Bollans ◽  
Lucía Gómez Álvarez ◽  
Anthony G. Cohn
Keyword(s):  
Clustering Algorithm ◽  
Spatial Language ◽  
Prototype Theory ◽  
Referring Expressions ◽  
Baseline Model ◽  
Spatial Prepositions ◽  
The Given ◽  
Grounded Semantics ◽  
Insight Into ◽  
Theoretical Developments

In previous work exploring how to automatically generate typicality measures for spatial prepositions in grounded settings, we considered a semantic model based on Prototype Theory and introduced a method for learning its parameters from data. However, though there is much to suggest that spatial prepositions exhibit polysemy, each term was treated as exhibiting a single sense. The ability for terms to represent distinct but related meanings is unexplored in the work on grounded semantics and referring expressions, where even homonymy is rarely considered. In this paper we address this problem by analysing the issue of reference using spatial language and examining how the polysemy exhibited by spatial prepositions can be incorporated into semantic models for situated dialogue. We support our approach on theoretical developments of Prototype Theory, which suggest that polysemy may be analysed in terms of radial categories, characterised by having several prototypicality centres. After providing a brief overview of polysemy in spatial language and a review of the related work, we define the Baseline Model and discuss how polysemy may be incorporated to improve it. We introduce a method of identifying polysemes based on `ideal meanings' and a modification of the `principled polysemy' framework. In order to compare polysemes and aid typicality judgements we then introduce a notion of `polyseme hierarchy'. Subsequently, we test the performance of the extended Polysemy Model by comparing it to the Baseline Model as well as a data-driven model of polysemy which we derive with a clustering algorithm. We conclude that our method for incorporating polysemy into the Baseline Model provides significant improvement. Finally, we analyse the properties and behaviour of the generated Polysemy Model, providing some insight into the improvement in performance, as well as justification for the given methods.

scholarly journals A proposal for the application of prototype theory to the lexicographic treatment of polysemy in Serbian

2018 ◽  
Vol 74 (2) ◽  
pp. 161-183
Author(s):  
Ana Halas-Popovic
Keyword(s):  
Theoretical Foundation ◽  
Family Resemblance ◽  
Prototype Theory ◽  
Dictionary Entry ◽  
Proposed Model ◽  
Clear Insight ◽  
Polysemous Word ◽  
Mutual Relations ◽  
The Given ◽  
Insight Into

This paper has proposed a model of treatment of polysemy in monolingual dictionaries of Serbian, which is based on the idea of the solid grounding of lexicographic practice in cognitive linguistic theory. A polysemous structure is understood here as a prototype-based category whose senses are mutually related on the basis of family resemblance, while the derivation of senses is motivated and the whole structure is hierarchically organised. The proposed model has been built on the foundation comprised of these main features of polysemy as understood within the framework of prototype theory. In order to be in accordance with the idea of the firm theoretical foundation of lexicographic practice, the presentation of the model has been divided into a lexicological and a lexicographic aspect. The lexicological aspect has included the formation of a polysemous structure. This model enables a clear insight into all derivational paths within a polysemous structure, mutual relations among senses as well as the hierarchical position of each individual sense. As such, it represents a theoretical basis or even a pattern for the formation of a dictionary entry for a polysemous word, i.e. for the lexicographic aspect of the proposed model. The main characteristics of the lexicographic aspect are the following: sense definitions contain a formal indication of the derivational link between a superordinate sense and its subsense and a dictionary entry is hierarchically structured. A sample entry for a highly polysemous verb in Serbian has been formed as an illustration of the proposed principles for tailoring a dictionary entry. The given principles result in achieving the transparency of motivated derivation of senses, their mutual relatedness on the basis of family resemblance as well as their hierarchical organisation, which is a necessary prerequisite for a reliable lexicographic description of a polysemous word expected to satisfy the needs of various types of dictionary users more efficiently. Overall, the solid scientific foundation of this model ensures the higher practical efficiency of the treatment of polysemy.

Mobile-Friendly Dashboards to Display Associations Between Cited-by and Similar Journals on Mobile Health Research: A Bibliometric Study (Preprint)

2018 ◽  
Author(s):  
Tsair-Wei Chien ◽  
Hsien-Yi Wang ◽  
Yang Shao ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Mobile Health ◽  
Health Research ◽  
Similarity Criteria ◽  
Network Density ◽  
Deep Insight ◽  
Density Indices ◽  
The Subject ◽  
The Given ◽  
Insight Into

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

scholarly journals MultiKOC: Multi-One-Class Classifier Based K-Means Clustering

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 134
Author(s):  
Loai Abdallah ◽  
Murad Badarna ◽  
Waleed Khalifa ◽  
Malik Yousef
Keyword(s):  
Clustering Algorithm ◽  
Main Idea ◽  
Molecular Classification ◽  
Positive Sample ◽  
Classification Problems ◽  
Multiple Cancer ◽  
Multiple Tumor ◽  
One Class Classifier ◽  
The Given

In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification of multiple cancer types. In all of these cases the real world appropriately characterized negative cases or outliers are impractical to achieve and the positive cases might consist of different clusters, which in turn might lead to accuracy degradation. In this paper we present a novel algorithm named MultiKOC multi-one-class classifiers based K-means to deal with this problem. The main idea is to execute a clustering algorithm over the positive samples to capture the hidden subdata of the given positive data, and then building up a one-class classifier for every cluster member’s examples separately: in other word, train the OC classifier on each piece of subdata. For a given new sample, the generated classifiers are applied. If it is rejected by all of those classifiers, the given sample is considered as a negative sample, otherwise it is a positive sample. The results of MultiKOC are compared with the traditional one-class, multi-one-class, ensemble one-classes and two-class methods, yielding a significant improvement over the one-class and like the two-class performance.

scholarly journals Constitutional Dilemma of Pakistan: 1947 -1956

2018 ◽  
Vol III (I) ◽  
pp. 1-9
Author(s):  
Muhammad Rizwan ◽  
Manzoor Ahmad ◽  
Syed Asif Anwar Bukhari
Keyword(s):  
Human Rights ◽  
Political Leadership ◽  
Deep Insight ◽  
Constitutional Development ◽  
The World ◽  
Refugee Problem ◽  
The Right ◽  
The Given ◽  
The Relationship ◽  
Insight Into

Soon after its creation, Pakistan confronted many issues including refugee problem, scarcity of able political leadership, absence of mutual consensus between both wings of the country and confusing nature of the relationship between Islam and state etc. took almost nine years to frame the permanent constitution for Pakistan. Constitution, the basic document of a state, determines the shape of its laws, structure of governance and system of rights and duties. The effectiveness of a constitution is judged by its practicability in the given area where it is enforced by the state machinery. Although, all civilized states of the world do possess a constitution, yet a good constitution is one which must protect the basic human rights by ensuring the independence of judiciary. Due to countless hurdles at the beginning of its journey, Pakistan’s constitutional development in the right direction could not take place. The main objective of the present study is to provide deep insight into the events and factors causing a delay in the constitution-making for the newly created state of Pakistan. The various events which took place from 1947 to 1956 have been analyzed in a subtle way.

scholarly journals Scientific methods of public administration in migration research

2020 ◽  
Vol 68 (2) ◽  
pp. 109-122
Author(s):  
András László Szabó
Keyword(s):  
Public Administration ◽  
Research Methods ◽  
Methodological Approach ◽  
Point Of View ◽  
Scientific Methods ◽  
Migration Research ◽  
Independent Field ◽  
The Subject ◽  
The Given ◽  
Insight Into

In my study, I list the directions of migration research, all from the point of view of public administration science. The emergence of migration research as an independent field is necessitated by the growth of migration. Researchers are researching the phenomenon of migration from their own field. Public administration uses a multidisciplinary, i.e. methodological approach of several disciplines, all of which is determined by the knowledge and nature of the subject of the given research. In the following, I review and evaluate the methodological directions of the research, which can provide an answer to a segment of the phenomenon of migration. The study gives an insight into research methods for migration research. It is not intended to present specific examples and procedures. At the end of the study, in possible directions, beyond the science of public administration, I list the organizations and faculties that are able to use the methodology of migration research.

Genetic Algorithms in Fuzzy Engineering Design

1999 ◽  
Author(s):  
Ralf Schleiffer ◽  
Hans-Jürgen Sebastian ◽  
Erik K. Antonsson
Keyword(s):  
Engineering Design ◽  
Clustering Algorithm ◽  
Computer Application ◽  
Test Problems ◽  
Important Class ◽  
New Approach ◽  
Design Task ◽  
Evolutionary Technique ◽  
The Given ◽  
Real World Problems

Abstract Problems in the field of engineering design represent an important class of real world problems that typically require a fuzzy and imprecise representation. This article presents and discusses a new approach to model this type of problem, by incorporating linguistic descriptions together with a variety of user-defined trade-off strategies. An interactive computer application is introduced, using stochastic optimization to solve the design task by producing a specially desired output under the given environmental conditions which are partly caused by the personal preferences of the engineer and by the expectations of the customer. It utilizes a randomized evolutionary technique, made suitable for the class of problems at hand, to generate and to optimize design solutions that are later identified by a clustering algorithm. Moreover test problems that were solved by the application are considered. In all cases the good solutions were obtained by evaluating only an extremely small fraction of all possible designs.

UNDERSTANDING BLOGGERS POSTING ABOUT POP CULTURE: LINGUAPRAGMATICS OF «UNPOPULAR OPINION» IN THE ENGLISH INTERNET-DISCOURSE

2021 ◽  
Author(s):  
A.V. Kukovskaya
Keyword(s):  
Discourse Analysis ◽  
Cognitive Processes ◽  
Pop Culture ◽  
Computer Mediated ◽  
The Subject ◽  
The Given ◽  
Insight Into ◽  
Blog Posts ◽  
Subcultural Community

The paper explores communication within the English blogosphere in which the discourse manifests itself in blog posts, devoted, in particular, to reactions to a variety of pop-culture works. These posts are characterized by specific linguapragmatics. The article examines the language and the discourse of bloggers from the standpoint of the Linguistic Creativity approach, which may help to have an in-depth insight into the mechanisms of cognitive processes. The topicality of this topic is justified by the interest that modern linguists have in text studies, discourse analysis and computer-mediated Internet-discourse. The novelty of the article lies in the fact that the given discourse and the linguapragmatics of the posts in question in the English blogosphere have not so far received the attention they deserve and should be the subject of more research and analysis. The paper supplies relevant conclusions made on the basis of the empiric material. The research demonstrates that within the English Internet-discourse of bloggers, who interpret modern pop culture and can be considered a subcultural community, among other types of posts there can be singled out the so-called “unpopular opinion”, that boasts a number of linguapragmatic peculiarities coinciding with the communicative goals of bloggers. Decoding such posts may be a challenge and we, among other things, want to draw researchers’ attention to the “language of bloggers” and its study.

Customer Behavior Prediction using K-Means Clustering Algorithm

2016 ◽  
pp. 256-267 ◽  
Author(s):  
Juhi Singh ◽  
Mandeep Mittal ◽  
Sarla Pareek
Keyword(s):  
Association Rules ◽  
Clustering Algorithm ◽  
A Priori ◽  
Clustering Algorithms ◽  
Customer Behavior ◽  
Purchase Behavior ◽  
Behavior Prediction ◽  
Customer Data ◽  
Customers Segmentation ◽  
Insight Into

Due to the increased availability of individual customer data, it is possible to predict customer buying pattern. Customers can be segmented using clustering algorithms based on various parameters such as Frequency, Recency and Monetary values (RFM). The data can further be analyzed to infer rules among two or more purchases of the customer. In this chapter we will present a clustering algorithm, enhanced k- means algorithm, which is based on k- means algorithm to divide customers into various segments. After segmentation, each segment is mined with the help of a priori algorithm to infer rules so that the customer's purchase behavior can be predicted. From large number of association rules with sufficient coverage, the customer's purchasing pattern can be predicted. Experiment on real database is implemented to evaluate the performance on effectiveness and utility of the approach. The results show that the proposed approach can gain a well insight into customers' segmentation and thus their behavior can be predicted.

Block-Finite Orthomodular Lattices

1979 ◽  
Vol 31 (5) ◽  
pp. 961-985 ◽  
Author(s):  
Günter Bruns
Keyword(s):  
Orthomodular Lattice ◽  
Boolean Algebras ◽  
Orthomodular Lattices ◽  
Special Situation ◽  
The Given ◽  
Insight Into ◽  
Considerable Insight

Introduction. Every orthomodular lattice (abbreviated : OML) is the union of its maximal Boolean subalgebras (blocks). The question thus arises how conversely Boolean algebras can be amalgamated in order to obtain an OML of which the given Boolean algebras are the blocks. This question we deal with in the present paper.The problem was first investigated by Greechie [6, 7, 8, 9]. His technique of pasting [6] will also play an important role in this paper. A case solved completely by Greechie [9] is the case that any two blocks intersect either in the bounds only or have the bounds, an atom and its complement in common. This is, of course, a very special situation. The more surprising it is that Greechie's methods, if skillfully applied, yield considerable insight into the structure of OMLs and provide a seemingly unexhaustible source for counter-examples.

scholarly journals A Review of Charge Pump Topologies for the Power Management of IoT Nodes

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 480 ◽  
Author(s):  
Andrea Ballo ◽  
Alfio Dario Grasso ◽  
Gaetano Palumbo
Keyword(s):  
Internet Of Things ◽  
Power Management ◽  
Energy Harvester ◽  
State Of The Art ◽  
Charge Pump ◽  
The State ◽  
Data Driven ◽  
Design Specifications ◽  
The Given ◽  
Insight Into

With the aim of providing designer guidelines for choosing the most suitable solution, according to the given design specifications, in this paper a review of charge pump (CP) topologies for the power management of Internet of Things (IoT) nodes is presented. Power management of IoT nodes represents a challenging task, especially when the output of the energy harvester is in the order of few hundreds of millivolts. In these applications, the power management section can be profitably implemented, exploiting CPs. Indeed, presently, many different CP topologies have been presented in literature. Finally, a data-driven comparison is also provided, allowing for quantitative insight into the state-of-the-art of integrated CPs.

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