[PDF] Top 20 Learning the Semantics of Manipulation Action
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Learning the Semantics of Manipulation Action
... testing action sequences and deduced the “hidden” conse- quences from ...final action consequences (both obvious and “hidden” ones) from the 20 testing sequences as ground-truth ...about manipulation ... See full document
11
Word and Phrase Learning based on Prior Semantics
... consider learning objects and interactions from a complex 3D-scene and mapping them to words and phrases from free, unconstrained language with full sentences de- scribing the ...adopt semantics-first ... See full document
6
Interactive Learning of Grounded Verb Semantics towards Human Robot Communication
... interactive learning approach where robots actively engage with humans to acquire models of grounded verb ...robot learning (Cakmak and Thomaz, 2012), we designed a set of questions that are pertinent to ... See full document
11
Learning Compositional Semantics for Open Domain Semantic Parsing
... This paper introduces a new approach to learning compositional semantics for open domain semantic parsing. Our approach is called Dependency-based Semantic Composition using Graphs (DeSCoG) and deviates ... See full document
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Learning Dependency Based Compositional Semantics
... the semantics of natural language, and, as a result, the construction mechanism that bridges the gap between natural language and formal language is generally complex and difficult to ...During learning, ... See full document
59
Learning Dependency Based Compositional Semantics
... The other major focus of this work is program induction—inferring logical forms from their deno- tations. There has been a fair amount of past work on this topic: Liang et al. (2010) induces combinatory logic programs in ... See full document
10
Distributional Semantics Meets Multi-Label Learning
... multi-label learning, drawing inspiration from ideas rooted in distributional semantics, specifically the Skip Gram Nega- tive Sampling (SGNS) approach, widely used to learn word ...multi-label ... See full document
8
Annotating and Learning Compound Noun Semantics
... In comparing reported classification results, it is difficult to disentangle the effects of different data, annotation schemes and classification methods. The results described here should above all be taken to ... See full document
6
Cooperative Learning of Disjoint Syntax and Semantics
... overcome learning trivial ...Reinforcement Learning that aims at dis- covering how to combine elementary modules to solve complex tasks (Singh, 1992; Chang et ... See full document
11
Learning Perceptually Grounded Semantics in the L₀ Project
... Figure 5 shows the results of learning the spatial term "outside", first without negative instances, then using implicit negatives obtained through mutual exclusivity, but without weaken[r] ... See full document
8
Learning Semantics with Deep Belief Network for Cross Language Information Retrieval
... Another line of research in discovering implicit semantic representation is utilizing CCA (Hotelling, 1936). CCA learns correlations between a pair of comparable representations and projects them into a shared space such ... See full document
10
The forgotten semantics of regression modelling in Geography
... the semantics associated with regression prediction and inference are functions of choices over covariate data and regression ...chine learning have suggested that most of the issues identified in this ... See full document
23
What Do We Learn from Word Associations? Evaluating Machine Learning Algorithms for the Extraction of Contextual Word Meaning in Natural Language Processing
... Keywords: Machine Learning; Algorithms; Natural Language Processing, Deep Learning, Vector 29.. Space Models, Semantic Similarity, Distributional Semantics, Latent Semantic Analys[r] ... See full document
21
Object Search: Supporting Structured Queries in Web Search Engines
... document semantics. Conversely, describing requi- site semantics through structured queries into databases populated by information extraction (IE) techniques are expensive and not easily adaptable to new ... See full document
9
Predictive motor learning of object manipulation
... 1987; Lacquaniti and Maioli, 1989). W hen w e catch a bail that falls ver tically to the hand, both predictive and reactive mechanisms are used to produce an appropriate catching action. The forw ard m odel needs ... See full document
206
Learning and decay of prediction in object manipulation
... Wolpert. Learning and decay of prediction in object ...the manipulation of ...the learning and decay of predictive responses, we measured the grip force responses during unlinked trials that followed ... See full document
11
Ontology based Semantic e Learning Model– A Review
... e- learning environment and will be prove a better e –learning environment and will be prove a better e-learning environment which is based on semantic web ...the learning resource results to ... See full document
5
The Application of Learning Methods of Inkuiri Guided to Improve the Learning Outcomes of Science Elementary School Students
... The learning process of natural sciences emphasizes on providing a direct experience to develop competencies to explore and understand the natural surroundings ...science learning should be implemented in ... See full document
6
It's all action, it's all learning: Action learning in SMEs
... SME learning, in particular what sort of groups worked particularly well ...the learning was better and more profound when you had a mixed group and from this we found both types of managers ... See full document
26
The Evidence for The Effectiveness of Active Learning
... having students work in small teams has a positive effect on academic achievement while self-directed learning has a slight negative effect on academic achievement. If PBL includes both of these elements and one ... See full document
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