Search results for "Semantics"
showing 10 items of 407 documents
Exploiting Semantic Trajectories Using HMMs and BIM for Worker Safety in Dynamic Environments
2020
International audience; Understanding dynamic behaviors of moving objects using positioning technologies for construction safety monitoring is still an open research issue. One task; that is a small subset in the widespread field of objects dynamics is the enrichment of the location data of users with the semantic information for studying their mobility patterns in the context of the environment. However, incorporating the semantics related to the environment gets complex in case of the dynamic construction sites where the site spaces are kept evolving with time. For instance, new walls and infrastructure supports are added often on sites, while others are detached. Similar situations open …
Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation
2021
International audience; Deep learning-based image understanding techniques require a large number of labeled images for training. Few-shot semantic segmentation, on the contrary, aims at generalizing the segmentation ability of the model to new categories given only a few labeled samples. To tackle this problem, we propose a novel prototypical network (MAPnet) with multiscale feature attention. To fully exploit the representative features of target classes, we firstly extract rich contextual information of labeled support images via a multiscale feature enhancement module. The learned prototypes from support features provide further semantic guidance on the query image. Then we adaptively i…
Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes
2019
BACKGROUND: In secondary data there are often unstructured free texts. The aim of this study was to validate a text mining system to extract unstructured medical data for research purposes. METHODS: From a radiological department, 1,000 out of 7,102 CT findings were randomly selected. These were manually divided into defined groups by 2 physicians. For automated tagging and reporting, the text analysis software Averbis Extraction Platform (AEP) was used. Special features of the system are a morphological analysis for the decomposition of compound words as well as the recognition of noun phrases, abbreviations and negated statements. Based on the extracted standardized keywords, findings rep…
Latent Semantic Description of Iconic Scenes
2005
It is proposed an approach for the automatic description of scenes using a LSA–like technique. The described scenes are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour and position. Each scene is related to a set of sentences describing their content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. A new scene can be mapped in this created space accordingly to a suitable metric. Preliminary experimental results show the effectiveness of the procedure.
A Conversational Agent Based on a Conceptual Interpretation of a Data Driven Semantic Space
2005
In this work we propose an interpretation of the LSA framework which leads to a data-driven “conceptual” space creation suitable for an “intuitive” conversational agent. The proposed approach allows overcoming the limitations of traditional, rule-based, chat-bots, leading to a more natural dialogue.
A word prediction methodology for automatic sentence completion
2015
Word prediction generally relies on n-grams occurrence statistics, which may have huge data storage requirements and does not take into account the general meaning of the text. We propose an alternative methodology, based on Latent Semantic Analysis, to address these issues. An asymmetric Word-Word frequency matrix is employed to achieve higher scalability with large training datasets than the classic Word-Document approach. We propose a function for scoring candidate terms for the missing word in a sentence. We show how this function approximates the probability of occurrence of a given candidate word. Experimental results show that the proposed approach outperforms non neural network lang…
On Language Adequacy
2015
Abstract The paper concentrates on the problem of adequate reflection of fragments of reality via expressions of language and inter-subjective knowledge about these fragments, called here, in brief, language adequacy. This problem is formulated in several aspects, the most general one being: the compatibility of the language syntax with its bi-level semantics: intensional and extensional. In this paper, various aspects of language adequacy find their logical explication on the ground of the formal-logical theory of syntax T of any categorial language L generated by the so-called classical categorial grammar, and also on the ground of its extension to the bi-level, intensional and ex- tensio…
Indeterminacy Reduction in Agent Communication Using a Semantic Language
2015
In recent years, the importance of vagueness and uncertainty in the messages exchanged between agents has been highlighted, mainly due to the ubiquitous nature of the (artificial or human) agents’ communication. The imprecision in the communication becomes more significant when the autonomy of the agents increases or the number of exchanged messages for a communicative goal is limited. In this paper we conjugate ideas drawn from situation semantics theory, human communication, and the multi-agent systems (MAS) field to reduce the impact of vagueness and uncertainty present in the communication. The main advances are achieved with the help of context information, collaboration and reinforcem…
A Qualitative and Quantitative Study on Ancient Latin Texts Concerning the Concept of aether : Some Methodological Considerations
2022
My study focuses on the semantic analysis of an ambiguous Latin word, aether, which may roughly be translated as ‘celestial substance’. The study is carried out by utilising both qualitative and quantitative methods on a digital text corpus containing Latin literature dating from ca. 200 BCE to 200 CE. In this paper, the compilation process and the contents of the corpus are described. Beside qualitative research (close reading), various computational methods are implemented on the corpus (distant reading). Of the latter, cosine similarity and correspondence analysis are discussed in this paper. I will explicate one way of combining qualitative and quantitative methods by assigning numerica…
Le sens du regard Contribution sémiotique à la technique de l'eye-tracking face aux packagings produits
2009
International audience; This work is presenting a semiotic point of view of a promising but problematic tool of the communication field -eye-tracking- which is used in various fields to track and exploit the eye-path on an object. Drawing form a list of eye-paths on various packagings, the first step of the analysis was the identification without theoretical a priori- of fixed patterns in these paths. Several models can then be inferred on how the order of acquisition of the elements of an image or a pack might have an influence on the construction of their overall meaning.; Ce travail propose un point de vue sémiotique sur un outil du champ de la communication prometteur mais problématique…