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Cognitive Evidence of Vagueness Associated with some Linguistic Terms in Descriptions of Spatial Relations

F. Benjamin Zhan
2003 Spatial Cognition and Computation  
Based on the experiments, it is concluded that (1) if the ratio between the area of region R covered by region Q and the area of region R is 0.50 or less, then one usually says "Region Q covers Region  ...  An important step in developing more natural GIS that can process natural language-based queries is to quantify these qualitative linguistic terms.  ...  The author is grateful to everyone who participated in the experiments.  ... 
doi:10.1080/13875868.2003.9683764 fatcat:rhl5kyt7gjfqzbxfd2ugvg4rvy

Cognitive Evidence of Vagueness Associated with some Linguistic Terms in Descriptions of Spatial Relations

F. Benjamin Zhan
2003 Spatial Cognition and Computation  
Based on the experiments, it is concluded that (1) if the ratio between the area of region R covered by region Q and the area of region R is 0.50 or less, then one usually says "Region Q covers Region  ...  An important step in developing more natural GIS that can process natural language-based queries is to quantify these qualitative linguistic terms.  ...  The author is grateful to everyone who participated in the experiments.  ... 
doi:10.1207/s15427633scc032&3_09 fatcat:6kn5g3sqfremfoty2xici56ide

Comparative Analysis of Cognive Strategies of Nomination in Russian and English

2021 Journal of Humanities & Social Sciences  
names of confectionery products in terms of structure-grammar, lexical semantics and linguistic culture; conduct directional associative experiments to determine the validity of the mind actions of potential  ...  consumers on the names of confectionery products and check their informational.  ...  and then, we have determined the attitude of respondents to the proposed ergonyms, based on the specified criteria, through an associative test, based on the test results to determine whether the names  ... 
doi:10.33140/jhss.04.02.08 fatcat:dl6ubz4kurdgfj6kjngzrut7gy

Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining

Mehmet Kaya, Reda Alhajj
2006 Applied intelligence (Boston)  
rules mining process are specified as linguistic terms.  ...  In order to tackle this problem, we propose Genetic Algorithms (GAs) based clustering method, which dynamically adjusts the fuzzy sets to provide maximum profit based on user specified linguistic minimum  ...  transactions, based on support and confidence specified as linguistic terms.  ... 
doi:10.1007/s10489-006-6925-0 fatcat:5zme6w7lureqhlt2hs4d2ge5n4

Cultural Aspects of Malaysian English and Russian Medical Profession Names

Istvan Lenart, Nick Buvalin
2020 3L Language, Linguistics and Literature: The Southeast Asian Journal of English Language Studies  
Firstly, a questionnaire-based association experiment was conducted with 300 Russian and 50 Malaysian medical university students, followed by a contrastive corpus linguistic analysis relying on the Russian  ...  the association experiment and a corpus linguistic approach.  ...  As a summary, it was concluded that the association experiment and corpus linguistic methods complemented each other well in the comparative analysis of Malaysian English and Russian medical profession  ... 
doi:10.17576/3l-2020-2602-02 fatcat:oa4jlocogbhrfbdjklrayvyevq

A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval

Qingyong Li, Zhiping Shi, Siwei Luo
2007 Neural Networks (IJCNN), International Joint Conference on  
We put forward a neural network approach to extract the image fuzzy semantics ground on linguistic expression based image description framework (LEBID).  ...  Our experiments demonstrate that NN outperforms other method such as genetic algorithm on the complexity of model, and it also achieves good retrieval performance.  ...  Just as numerical variables take numerical values, in fuzzy logic, linguistic variables take on linguistic values that are words (linguistic terms) with associated degrees of membership in the set.  ... 
doi:10.1109/ijcnn.2007.4371021 dblp:conf/ijcnn/LiSL07 fatcat:fstomomw7nhgrdlarlbqkrqnhq

Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms

Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto, Francisco Herrera
2009 Fuzzy sets and systems (Print)  
It is based on the 2-tuples linguistic representation model allowing us to adjust the context associated to the linguistic term membership functions.  ...  for mining fuzzy association rules.  ...  This new approach is based on the 2-tuples linguistic representation [17] , that allows the symbolic translation of a linguistic term by considering only one parameter.  ... 
doi:10.1016/j.fss.2008.05.012 fatcat:3pm3h6vwu5bnhdhe7nju7wvgma

Chapter 11. Unifying research on colour and emotion [chapter]

Christine Mohr, Domicele Jonauskaite, Elise S. Dan-Glauser, Mari Uusküla, Nele Dael
2018 Progress in Colour Studies  
Having these needs in mind, we initiated an international online survey on semantic colour-emotion associations. We outline theoretical considerations and present the survey's design.  ...  We need to i) distinguish between situations in which colours are physically shown or linguistically treated, ii) specify types of affective processes (e.g. emotion, mood, preference), and iii) investigate  ...  Examples to support the EVT mainly focus on object-based emotional experiences, but do not exclude abstract, concept-based experiences.  ... 
doi:10.1075/z.217.11moh fatcat:mlh5styumnbopgn5zc3dm5lh4q

Integration of linguistic and web information to improve biomedical terminology extraction

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
2014 Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14  
Methods featuring linguistic and statistical aspects as often proposed in the literature, solve some problems related to term extraction as low frequency, complexity of the multi-word term extraction,  ...  In addition we demonstrate how the use of the Web to evaluate the significance of a multi-word term candidate, helps us to outperform precision results obtain on the biomedical GENIA corpus with previous  ...  OUR APPROACH A new ranking measure based on linguistic and statistical information Linguistic-based measure The objective of this measure is to give a higher importance to the term unithood than the  ... 
doi:10.1145/2628194.2628208 dblp:conf/ideas/VenturaJRT14 fatcat:swhzitwdzra6zcbbmjeitotm3m

Bilingual terminology acquisition from comparable corpora and phrasal translation to cross-language information retrieval

Fatiha Sadat, Masatoshi Yoshikawa, Shunsuke Uemura
2003 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03  
A two-stages translation model is proposed for the acquisition of bilingual terminology from comparable corpora, disambiguation and selection of best translation alternatives according to their linguistics-based  ...  The present paper will seek to present an approach to bilingual lexicon extraction from non-aligned comparable corpora, phrasal translation as well as evaluations on Cross-Language Information Retrieval  ...  First experiments were conducted on the several combinations of weighting parameters and schemes of SMART retrieval system for documents terms and query terms.  ... 
doi:10.3115/1075178.1075201 dblp:conf/acl/SadatYU03 fatcat:3ffo3vcownhq7kb2qw3x22e5r4

Long-term associative learning predicts verbal short-term memory performance

Gary Jones, Bill Macken
2017 Memory & Cognition  
be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed.  ...  However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory  ...  Open Access This article is distributed under the terms of the Creative Comm ons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.3758/s13421-017-0759-3 pmid:28971367 pmcid:PMC5809536 fatcat:x2hgseuj6jhbjdbz3z7tjtq6bi

Exploiting semantic structure for mapping user-specified form terms to SNOMED CT concepts

Ritu Khare, Yuan An, Jiexun Li, Il-Yeol Song, Xiaohua Hu
2012 Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12  
In particular, we focus on the problem of mapping the terms on an encounter form to SNOMED CT concepts. Existing term mapping techniques are solely based on syntactic string similarity.  ...  We test the approach on over 900 clinician-specified terms used in 26 forms. This method achieves 23% improvement in precision and 38% improvement in recall, over a pure linguistic-based approach.  ...  We conducted experiments using 3 methods; with each method we increased the extent of the structural information utilized. We first devised a baseline approach based on pure linguistics.  ... 
doi:10.1145/2110363.2110397 dblp:conf/ihi/KhareALSH12 fatcat:c7ped2bdd5bp7a2pwoesa3d5cm

Improving Chinese Term Association from the Linguistic Perspective

Nan Li, Jiqing Sun
2017 Knowledge organization  
Based on the consistency between Chinese word formation and its meaning from a linguistic perspective, we have designed a morpheme-based term association model for a Chinese knowledge organization system  ...  Then we present a term association model based on Chinese morphemes. Finally, the procedure and results of an experiment are described, followed by the conclusion.  ... 
doi:10.5771/0943-7444-2017-1-13 fatcat:6hsqyi2wsnelnm2wv5mlgxhtdi

Hybrid method for automatic extraction of multiword expressions

Shaishav Agrawal, Ratna Sanyal, Sudip Sanyal
2018 International Journal of Engineering & Technology  
The proposed method is based on linguistic patterns, association and context similarity between constituent words of the MWEs.  ...  Two association measures, Dice's coefficient and PMI have been used for calculating the association score.  ...  The method proposed in previous work [2] is also based on two properties of MWEs: linguistic formation and association between their constituent words.  ... 
doi:10.14419/ijet.v7i2.6.10063 fatcat:63ztmrf6f5cibbm7em4pg6hacm

Mining fuzzy association rules

Keith C. C. Chan, Wai-Ho Au
1997 Proceedings of the sixth international conference on Information and knowledge management - CIKM '97  
The definition of linguistic terms is based on-set theory and hence we call the rides having these terms fuzzy association rules.  ...  Instead of using intervals, F-APACS employs linguistic terms to represent the revealed regularities and exceptions.  ...  The definition of linguistic terms is based on fuzzy set theory and hence we call the rules having these terms j&zy association rules.  ... 
doi:10.1145/266714.266898 dblp:conf/cikm/ChanA97 fatcat:qcc6yp4m3ffelhiordvjvyaac4
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