Search results for "Natural Language Processing"
showing 10 items of 413 documents
Automatic Content Analysis of Computer-Supported Collaborative Inquiry-Based Learning Using Deep Networks and Attention Mechanisms
2020
Computer-supported collaborative inquiry-based learning (CSCIL) represents a form of active learning in which students jointly pose questions and investigate them in technology-enhanced settings. Scaffolds can enhance CSCIL processes so that students can complete more challenging problems than they could without scaffolds. Scaffolding CSCIL, however, would optimally adapt to the needs of a specific context, group, and stage of the group's learning process. In CSCIL, the stage of the learning process can be characterized by the inquiry-based learning (IBL) phase (orientation, conceptualization, investigation, conclusion, and discussion). In this presentation, we illustrate the potential of a…
CitySearcher: A City Search Engine For Interests
2017
We introduce CitySearcher, a vertical search engine that searches for cities when queried for an interest. Generally in search engines, utilization of semantics between words is favorable for performance improvement. Even though ambiguous query words have multiple semantic meanings, search engines can return diversified results to satisfy different users' information needs. But for CitySearcher, mismatched semantic relationships can lead to extremely unsatisfactory results. For example, the city Sale would incorrectly rank high for the interest shopping because of semantic interpretations of the words. Thus in our system, the main challenge is to eliminate the mismatched semantic relationsh…
The potential of temporal analysis: Combining log data and lag sequential analysis to investigate temporal differences between scaffolded and non-sca…
2020
This paper contributes to the ongoing discussion about analysing the temporal aspects of learning processes in the educational technology research field. Our main aim was to advance methods for analysing temporal aspects of technology-enhanced learning (TEL) processes by introducing the temporal lag sequential analysis (TLSA) technique and by combining TLSA with temporal log data analysis (TLDA). Our secondary aim was to illustrate the potential of these two analysis techniques to reveal the differences between the face-to-face technology-enhanced collaborative inquiry-based learning (CIBL) processes of three different conditions (non-scaffolded, writing scaffolded and script scaffolded gro…
Latin Object and Subject Infinitive Clauses
2012
The paper is devoted to the theoretical and descriptive problems caused by Latin accusative with infinitive constructions. Latin infinitives can have an accusative subject also in constructions in which neither of the two conditions of accusative licensing by the matrix verb is satisfied: the matrix verb is intransitive, or the infinitive phrase is in subject or adjunct position, and furthermore, there is evidence of the infinitival clause also projhecting a CP - even if no visible complementizer is present. In Latin, the infinitive phrase is often coindexed with a third demonstrative pronoun, which allows the hypothesis that the infinitival CP (similar to an object that-clause) is base-gen…
Grammar based content completion method using Lua LPeg.re module
2014
A grammar based content completion method for Lua programming language and its LPeg.re module environment is described in this paper. The use of our method is not demanding in computing resources, as well as it is easy to add the content completion functionality to any target language grammar. We report on the application of our method for OWL Manchester syntax expression grammar, as well as custom database-to-ontology mapping language.
Categorization in Discourse and Grammar
2016
This collection of papers addresses new trends in Cognitive Linguistics. Three parts of the book focus on Conceptual Metaphor Theory and Integration Network Analysis. Both the theoretical contributions and the empirical case studies stress the importance of contextual factors in the meaning making processes. They employ qualitative methods to analyze the use of metaphor in political discourse and in the conceptualization of emotions. The data sets include multimodal data, sign languages and co-speech gestures. The fourth part of the book contains two corpus-based studies. The fifth part concentrates on the grammatical categories of passive voice and aspect. One contribution discusses the pr…
Do Sign Language Videos Improve Web Navigation for Deaf Signer Users?
2010
The efficacy of video-based sign language (SL) navigation aids to improve Web search for Deaf Signers was tested by two experiments. Experiment 1 compared 2 navigation aids based on text hyperlinks linked to embedded SL videos, which differed in the spatial contiguity between the text hyperlink and SL video (contiguous vs. distant). Deaf Signers’ performance was similar in Web search using both aids, but a positive correlation between their word categorization abilities and search efficiency appeared in the distant condition. In Experiment 2, the contiguous condition was compared with a text-only hyperlink condition. Deaf Signers became less disorientated (used shorter paths to find the tar…
Discovering learning paths on a domain ontology using natural language interaction
2005
The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to interact with the system using natural language in order to browse the ontology itself. The course related knowledge is arranged as a three level hierarchy: content level, symbolic level, and conceptual level bridging the previous ones. The implementation of the ontological, the interaction, and the presentation component inside the TutorJ system is explained, and the first results are presented.
IRT Modeling of Decomposed Student Learning Patterns in Higher Education Economics
2019
Researchers have spent decades arguing how to measure improvements in learning within formal settings, where achievements are intended and presupposed, in a reliable and valid way. Repeated measures are required to investigate improvements of any kind. Students usually take a multiple-choice test at least twice with the difference between the two measurements indicating how much they have learned. Walstad and Wagner (J Econ Educ 47:121–131, 2016) presented a new approach to gathering more information about different learning patterns by decomposing these difference measures. They describe the patterns of positive learning (PL) and negative learning (NL), i.e., the development from not knowi…
ICDAR 2021 Competition on Historical Document Classification
2021
International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font grou…