{"title":"作为上下文相关表达的接近性:建模、测量和上下文属性的综合回顾","authors":"Marc Novel, R. Grütter, H. Boley, A. Bernstein","doi":"10.1080/13875868.2020.1754832","DOIUrl":null,"url":null,"abstract":"ABSTRACT Nearness expressions such as “near” are context-dependent spatial relations and are subject to the context variability effect. Depending on the provided context, “near” has a different semantic extension. We perform a literature review to identify the effect of context on “near”. To integrate the insights from different disciplines, we apply Turney’s contextualization framework which distinguishes between two types of features: primary and contextual. Primary features are the qualitative and quantitative distance measures and contextual features are the context factors used to determine a threshold on the nearness measurements. Additionally, we identify the appropriate features for different spatial tasks discussed in the literature. By doing so, we seek to build a foundation for a context-dependent model for “near”.","PeriodicalId":46199,"journal":{"name":"Spatial Cognition and Computation","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2020-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual properties\",\"authors\":\"Marc Novel, R. Grütter, H. Boley, A. Bernstein\",\"doi\":\"10.1080/13875868.2020.1754832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Nearness expressions such as “near” are context-dependent spatial relations and are subject to the context variability effect. Depending on the provided context, “near” has a different semantic extension. We perform a literature review to identify the effect of context on “near”. To integrate the insights from different disciplines, we apply Turney’s contextualization framework which distinguishes between two types of features: primary and contextual. Primary features are the qualitative and quantitative distance measures and contextual features are the context factors used to determine a threshold on the nearness measurements. Additionally, we identify the appropriate features for different spatial tasks discussed in the literature. By doing so, we seek to build a foundation for a context-dependent model for “near”.\",\"PeriodicalId\":46199,\"journal\":{\"name\":\"Spatial Cognition and Computation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2020-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spatial Cognition and Computation\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/13875868.2020.1754832\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Cognition and Computation","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/13875868.2020.1754832","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual properties
ABSTRACT Nearness expressions such as “near” are context-dependent spatial relations and are subject to the context variability effect. Depending on the provided context, “near” has a different semantic extension. We perform a literature review to identify the effect of context on “near”. To integrate the insights from different disciplines, we apply Turney’s contextualization framework which distinguishes between two types of features: primary and contextual. Primary features are the qualitative and quantitative distance measures and contextual features are the context factors used to determine a threshold on the nearness measurements. Additionally, we identify the appropriate features for different spatial tasks discussed in the literature. By doing so, we seek to build a foundation for a context-dependent model for “near”.