scholarly journals Learning Semantic Maps from Natural Language Descriptions

Author(s):  
Matt Walter ◽  
Sachithra Hemachandra ◽  
Bianca Homberg ◽  
Stefanie Tellex ◽  
Seth Teller
2014 ◽  
Vol 33 (9) ◽  
pp. 1167-1190 ◽  
Author(s):  
Matthew R. Walter ◽  
Sachithra Hemachandra ◽  
Bianca Homberg ◽  
Stefanie Tellex ◽  
Seth Teller

Author(s):  
Andres Karjus

The change of a lexical element into a grammatical (closed class) element must necessarily include intermediary stages where the element is considered gradually less lexical and more grammatical. The central assumptions in this study are the gradualness and gradience of grammaticalization, that natural language change cannot happen overnight, and that the change is driven by individual speakers of a language community (cf. Traugott and Trousdale 2010: 23, 26). Using a data sample from a questionnaire on spatial grams of the EXTERIOR-REGION (cf. Svorou 1994) in Estonian, Võro and Latvian, an attempt is made to model diachronic gradualness through synchronic gradience. The analysis and the explication thereof are carried out using multidimensional scaling, a statistical modelling method used akin to semantic maps.


2018 ◽  
Vol 16 (4) ◽  
pp. 328-340 ◽  
Author(s):  
Ranjeeth Mahankali ◽  
Brian R Johnson ◽  
Alex T Anderson

The recent wave of developments and research in the field of deep learning and artificial intelligence is causing the border between the intuitive and deterministic domains to be redrawn, especially in computer vision and natural language processing. As designers frequently invoke vision and language in the context of design, this article takes a step back to ask if deep learning’s capabilities might be applied to design workflows, especially in architecture. In addition to addressing this general question, the article discusses one of several prototypes, BIMToVec, developed to examine the use of deep learning in design. It employs techniques like those used in natural language processing to interpret building information models. The article also proposes a homogeneous data format, provisionally called a design pixel, which can store design information as spatial-semantic maps. This would make designers’ intuitive thoughts more accessible to deep learning algorithms while also allowing designers to communicate abstractly with design software.


2015 ◽  
Author(s):  
Emanuele Bastianelli ◽  
Danilo Croce ◽  
Roberto Basili ◽  
Daniele Nardi

1987 ◽  
Vol 32 (1) ◽  
pp. 33-34
Author(s):  
Greg N. Carlson
Keyword(s):  

2012 ◽  
Author(s):  
Loes Stukken ◽  
Wouter Voorspoels ◽  
Gert Storms ◽  
Wolf Vanpaemel
Keyword(s):  

2004 ◽  
Author(s):  
Harry E. Blanchard ◽  
Osamuyimen T. Stewart
Keyword(s):  

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