Search results for "soft"

E-PRAGMA: Software Tool for the Territorial Intelligence Distributed Systems.

2007

In vivo evaluation of three-dimensional of volumetric changes using a CAD/CAM chair-side system : technical procedure

2017

An intraoral digital scanner in combination with specialized three-dimensional surface analysis software monitors volumetric changes to soft tissues or dental restorations. This technology can evaluate the success of a specific technique or medium- or long-term clinical outcomes in both clinical and research situations. This article describes how this technology was used to provide immediate chair-side data analysis without the help of specialized laboratory support. Key words:Intraoral scanner, CAD-CAM, best fit-method, surface tessellation language.

Software Testing Overview on Different Generalization Levels

2013

There are many different views on software testing co-exist even within the borders of one organization. That is why we have decided to prepare software testing overview on metalevel indicating main influencers that make this difference. While gathering the details about meta-level elements we have performed some structuring of elements from lower level of software testing such as testing oracles and testing approaches, methods, and techniques. The overview preparation has resulted into laying the scientific basis under proper use of such terms as testing approach, testing method, and testing technique. Our overview could be useful for making ordered introduction into software testing for f…

Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora

2020

In this paper, we tackle the problem of the irony and sarcasm detection for the Italian language to contribute to the enrichment of the sentiment analysis field. We analyze and compare five deep-learning systems. Results show the high suitability of such systems to face the problem by achieving 93% of F1-Score in the best case. Furthermore, we briefly analyze the model architectures in order to choose the best compromise between performances and complexity.

Automatic Dictionary Creation by Sub-symbolic Encoding of Words

2006

This paper describes a technique for automatic creation of dictionaries using sub-symbolic representation of words in cross-language context. Semantic relationship among words of two languages is extracted from aligned bilingual text corpora. This feature is obtained applying the Latent Semantic Analysis technique to the matrices representing terms co-occurrences in aligned text fragments. The technique allows to find the “best translation” according to a properly defined geometric distance in an automatically created semantic space. Experiments show an interesting correctness of 95% obtained in the best case.

Review of Non-English Corpora Annotated for Emotion Classification in Text

2020

In this paper we try to systematize the information about the available corpora for emotion classification in text for languages other than English with the goal to find what approaches could be used for low-resource languages with close to no existing works in the field. We analyze the corresponding volume, emotion classification schema, language of each corresponding corpus and methods employed for data preparation and annotation automation. We’ve systematized twenty-four papers representing the corpora and found that corpora were mostly for the most spoken world languages: Hindi, Chinese, Turkish, Arabic, Japanese etc. A typical corpus contained several thousand of manually-annotated ent…

A Methodology for Bilingual Lexicon Extraction from Comparable Corpora

2015

Dictionary extraction using parallel corpora is well established. However, for many language pairs parallel corpora are a scarce resource which is why in the current work we discuss methods for dictionary extraction from comparable corpora. Hereby the aim is to push the boundaries of current approaches, which typically utilize correlations between co-occurrence patterns across languages, in several ways: 1) Eliminating the need for initial lexicons by using a bootstrapping approach which only requires a few seed translations. 2) Implementing a new approach which first establishes alignments between comparable documents across languages, and then computes cross-lingual alignments between wor…

Reflection Assignment as a Tool to Support Students’ Metacognitive Awareness in the Context of Computer-Supported Collaborative Learning

2021

The present study explores the potential of a reflection assignment as a tool for supporting master’s degree students’ metacognitive skills in the context of computer-supported collaborative learning (CSCL). The research question (RQ) is formulated as follows: How does a regularly submitted reflection assignment support the development of students’ individual metacognitive awareness in the context of CSCL? The empirical data is a text corpus (7878 words) extracted from individual students’ (N = 13) reflection assignments (N = 65) submitted during one semester. Qualitative content analysis was employed to analyze the data. The results demonstrate that by the end of the course, the students s…

Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology, and Framework

2021

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.

The computation of word associations

2002

It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze the distribution of words in large text corpora. According to the law of association by contiguity, the acquisition of word associations can be explained by Hebbian learning. The free word associations as produced by subjects on presentation of single stimulus words can thus be predicted by applying first-order statistics to the frequencies of word co-occurrences as observed in texts. The generation of synonyms can also be conducted on co-occurrence data but requires second-order statistics. The reason is that synony…