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  1. Article

    Open Access

    Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks

    Transformer-based Pre-Trained Language Models currently dominate the field of Natural Language Inference (NLI). We first survey existing NLI datasets, and we systematize them according to the different kinds o...

    Reto Gubelmann, Ioannis Katis in Journal of Logic, Language and Information (2024)

  2. No Access

    Chapter and Conference Paper

    Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support

    In this article, we present the results of an exploratory study conducted with our self-developed tool Artist. The goal of the tool is to give formative feedback to develop students’ argumentation skills. We comp...

    Reto Gubelmann, Michael Burkhard in Artificial Intelligence in Education. Post… (2024)

  3. No Access

    Chapter

    Specific Problems of Computer Vision

    Computer Vision  (CV) covers the whole variety of collecting and interpreting information from optical signals of any type.

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Chapter

    Data Science and Its Tasks

    As the name Data Science (DS) suggests, it is a scientific field concerned with data. However, this definition would encompass the whole of information technology. This is not the intention behind delimiting the ...

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Chapter

    Data Processing by Neural Networks

    In the contemporary DS, artificial neural  have gained enormous popularity. This is the reason for dedicating a chapter to describing their structure and properties.

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Chapter

    Numerical Algorithms for Data Science

    In Chap. 2, standard application-specific map**s were shown. The task of  is to find the map** exhibiting the best correspondence to a set of training data . To identify the best correspondence or fit, ap...

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Book

  8. No Access

    Chapter

    Application-Specific Map**s and Measuring the Fit to Data

    Information processing algorithms consist of receiving input data and computing output data from them. On a certain abstraction level, they can be generally described by some kind of map** input data to outp...

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Chapter

    Learning and Generalization

    The mission of DS is to extract interesting information from data. In the previous chapters, the form of this information has been discussed: These are diverse types of map**s such as classifiers or quantita...

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

  10. No Access

    Chapter

    Specific Problems of Natural Language Processing

    Natural Language Processing(NLP) is a field going far beyond the scope of DS.

    Tomas Hrycej, Bernhard Bermeitinger in Mathematical Foundations of Data Science (2023)

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    Chapter and Conference Paper

    A Tag-Based Transformer Community Question Answering Learning-to-Rank Model in the Home Improvement Domain

    Community Question Answering (CQA) is an Information Retrieval (IR) task that allows matching complex subjective questions and candidate answers based on user posts in community web forums. User questions and ...

    Macedo Maia, Siegfried Handschuh, Markus Endres in Database and Expert Systems Applications (2021)

  12. No Access

    Chapter and Conference Paper

    Revisiting Principles and Challenges in Natural Language Programming

    Automation has faced the risk of reducing its pace due to the shortage of information technology professionals. Although part of the programming demand can be addressed by simple compositions of high-level fun...

    Juliano Efson Sales, André Freitas in Knowledge-Based Software Engineering: 2020 (2020)

  13. No Access

    Chapter and Conference Paper

    Let the End User in Peace: UX and Usability Aspects Related to the Design of Tutoring Systems

    In the paper we address the research question of whether non-experienced and untrained end-users may efficiently design and customise their own interaction experiences as part of a tutoring system. To this end...

    Juliano Sales, Katerina Tzafilkou, Adamantios Koumpis in Intelligent Tutoring Systems (2020)

  14. Chapter and Conference Paper

    A User-centred Analysis of Explanations for a Multi-component Semantic Parser

    This paper shows the preliminary results of an initial effort to analyse whether explanations associated with a semantic parser help users to generalise the system’s mechanisms regardless of their technical ba...

    Juliano Efson Sales, André Freitas in Natural Language Processing and Informatio… (2020)

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    Chapter and Conference Paper

    Singular Value Decomposition and Neural Networks

    Singular Value Decomposition (SVD) constitutes a bridge between the linear algebra concepts and multi-layer neural networks—it is their linear analogy. Besides of this insight, it can be used as a good initial...

    Bernhard Bermeitinger, Tomas Hrycej in Artificial Neural Networks and Machine Lea… (2019)

  16. Chapter and Conference Paper

    The Robot Who Loved Me: Building Consciousness Models for Use in Human Robot Interaction Following a Collaborative Systems Approach

    We build on the results of our MARIO project to support the benefit of informing research taking place in the area of development of human consciousness models for use by robots to facilitate human robot inte...

    Adamantios Koumpis, Maria Christoforaki in Collaborative Networks of Cognitive Systems (2018)

  17. Chapter and Conference Paper

    Longinos/Longinas: Towards Smart, Unified Working and Living Environments for the 70 to 90+

    The ageing of the human population is a threat to many countries in the world and this fact creates new challenges for age-friendly living, recreational and working environments. Therefore, solutions that can ...

    Amina Amara, Hiba Sebei in Computers Hel** People with Special Needs (2018)

  18. No Access

    Chapter and Conference Paper

    Composite Semantic Relation Classification

    Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. However, in most cases it is not p...

    Siamak Barzegar, Andre Freitas in Natural Language Processing and Informatio… (2017)

  19. Chapter and Conference Paper

    Business Model Boutique: A Prêt-à-Porter Solution for Business Model Innovation in SMEs

    We introduce the concept of a Business Model Boutique as a means to support business model innovation in SMEs for the improvement of their competitiveness and growth. The Business Model Boutique aims to suppor...

    Sander Smit, Garyfallos Fragidis in Collaboration in a Hyperconnected World (2016)

  20. Chapter and Conference Paper

    Object Classification in Images of Neoclassical Furniture Using Deep Learning

    This short paper outlines research results on object classification in images of Neoclassical furniture. The motivation was to provide an object recognition framework which is able to support the alignment of ...

    Bernhard Bermeitinger, André Freitas in Computational History and Data-Driven Huma… (2016)

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