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Spatial interpretations of preposition "at"
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2012The current keyword- and substring matches-based retrieval methods most search engines rely on to answer spatial queries ignore the more specific interpretations of spatial relations. Moreover, the use of the general preposition "at" in natural language queries results in underspecified locations.
Maria Vasardani +4 more
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The central spatial prepositions
2021This chapter reviews the chief spatial prepositions at /әt = /, which describes a position of rest, and the pair dealing with motion, consisting of major member to /tә = / and minor member from /frәm = /. It considers at, to, and from as exclusively prepositions and generally realised as proclitics, emphasizing they are never used as adverbs and the ...
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Flexible semantic processing of spatial prepositions
Journal of Semantics, 1998This article presents two experiments investigating whether language users spontaneously apply semantic extension principles to novel usages, or whether they treat word meanings as discrete, rigidly defined entities. In Experiment I, readers made a timed decision on the correctness of a sentence.
Frisson, Steven +4 more
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A Cognitive Perspective on Spatial Prepositions
2022A Cognitive Perspective on Spatial Prepositions: Intertwining networks is devoted to the issue of the relation between language and thought approached from the perspective of spatial relations encoded by four equivalent spatial prepositions – English to, German zu, Polish do and Russian к.
Maria Brenda +1 more
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Annotating Spatial Interpretations of German Prepositions
2011 IEEE Fifth International Conference on Semantic Computing, 2011Traditional approaches to prepositions classify preposition lexemes into different semantic classes like spatial, temporal or modal ones. In this paper we reconsider the so-called spatial prepositions and their sub classification. We propose a sense based classification of prepositions using traditional criteria to determine different classes of ...
A. Muller +3 more
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Qualitatively describing objects using spatial prepositions
[1993] Proceedings IEEE Workshop on Qualitative Vision, 2002The paper presents a framework for a system that describes objects in a qualitative fashion. A subset of spatial prepositions is chosen and an appropriate quantification is applied to each of them that capture their inherent qualitative properties. The quantifications use such object attributes as area, centers, and elongation properties.
A. Abella, J.R. Kender
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Modelling English Spatial Preposition Detectors
2010In this paper we present five algorithms for the detection of spatial relationships within an image: above/below, adjacent to, occlusion, between, and close to.
Connor Smith +10 more
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Spatial Prepositions and Vague Quantifiers: Implementing the Functional Geometric Framework
2005There is much empirical evidence showing that factors other than the relative positions of objects in Euclidean space are important in the comprehension of a wide range of spatial prepositions in English and other languages. We first the overview the functional geometric framework [11] which puts “what” and “where” information together to underpin the ...
Coventry, Kenny R. +6 more
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13. Spatial prepositions in Italian L2
2012Space is a core domain of human cognition. However, the linguistic variation in encoding spatial reference is immense. In our chapter we address the currently debated issue of the existence of universal conceptual categories and principles by investigating one of the most idiosyncratic linguistic category: adpositions, namely spatial prepositions in ...
Giovanna Marotta, Linda Meini
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Disambiguating Spatial Prepositions Using Deep Convolutional Networks
Proceedings of the AAAI Conference on Artificial Intelligence, 2017We address the coarse-grained disambiguation of the spatial prepositions as the first step towards spatial role labeling using deep learning models. We propose a hybrid feature of word embeddings and linguistic features, and compare its performance against a set of linguistic features, pre-trained word embeddings, and corpus-trained ...
Kaveh Hassani, Won-Sook Lee
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