Wyniki wyszukiwania dla: INFORMATION CREDIBILITY FACT-CHECKING TEXT SUMMARIZATION CONTEXT ENRICHMENT - MOST Wiedzy

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Wyniki wyszukiwania dla: INFORMATION CREDIBILITY FACT-CHECKING TEXT SUMMARIZATION CONTEXT ENRICHMENT

Wyniki wyszukiwania dla: INFORMATION CREDIBILITY FACT-CHECKING TEXT SUMMARIZATION CONTEXT ENRICHMENT

  • Enriching the Context: Methods of Improving the Non-contextual Assessment of Sentence Credibility

    Publikacja

    - Rok 2019

    This paper presents several methods of automatic context enrichment of sentences that need to be evaluated, tagged or fact-checked by human judges. We have created a corpus of medical Web articles. Sentences from this corpus have been fact-checked by medical experts in two modes: contextually (reading the entire article and evaluating sentence by sentence) and without context (evaluating sentences from all articles in random order)....

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  • Semantic Analysis and Text Summarization in Socio-Technical Systems

    Publikacja

    - Rok 2018

    In this chapter the authors present the results of the development the methodology for increasing the reliability of the functioning of the Socio-Technical System. The existed methods and algorithms for processing unstructured (textual) information were studied. Taking into account noted above strengths and weaknesses of Discriminant and Probabilistic approaches of Latent Semantic Relations analysis in of the summarization projection...

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  • Automatic evaluation of information credibility in Semantic Web and Knowledge Grid

    Publikacja

    - Rok 2008

    This article presents a novel algorithm for automatic estimation of information credibility. It concerns information collected in Knowledge Grid and Semantic Web. Possibilities to evaluate the credibility of information in such structures are much greater than those available for WWW sites which use natural language. The rating system presented in this paper estimates credibility automatically on the basis of the following metrics:...

  • Borders of Digital Art in the Context of the Information Society

    Publikacja

    The article shows the relationship between the development of information technologies, the characteristics of the information society and digital art. The broad possibilities of the digital world related to recording, storing and processing data (cyber text, big data, smart services) and the creation of virtual worlds are pointed out. The influence of the development of information technologies on the character of the works of...

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  • Words context analysis for improvement of information retrieval

    Publikacja

    - Rok 2012

    In the article we present an approach to improvement of retrieval informationfrom large text collections using words context vectors. The vectorshave been created analyzing English Wikipedia with Hyperspace Analogue to Language model of words similarity. For test phrases we evaluate retrieval with direct user queries as well as retrieval with context vectors of these queries. The results indicate that the proposed method can not...

  • Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

    Publikacja
    • A. Nabożny
    • B. Balcerzak
    • A. Wierzbicki
    • M. Morzy
    • M. Chlabicz

    - JMIR Medical Informatics - Rok 2021

    Methods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...

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  • Interactive Information Search in Text Data Collections

    Publikacja

    This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results...

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  • Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning

    Publikacja

    - Rok 2023

    In this paper, the data, information, knowledge, and wisdom (DIKW) pyramid is revisited in the context of deep learning applied to machine learningbased audio signal processing. A discussion on the DIKW schema is carried out, resulting in a proposal that may supplement the original concept. Parallels between DIWK pertaining to audio processing are presented based on examples of the case studies performed by the author and her collaborators....

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  • Dedicated Geographical Information System in the context of Critical Infrastructure Protection

    Publikacja

    Nowe zaawansowane narzędzia Technologii Informacyjnych i Komunikacyjnych mogą stanowić bardzo użyteczną pomoc podczas przewidywania różnego rodzaju zagrożeń jak również minimalizacji związanego z nimi ryzyka. Artykuł prezentuje Sieciowy System Informacji Przestrzennej dla Szacowania i Wizualizacji Infrastruktur Krytycznych i ich Zagrożeń, stworzony dla Urzędu Miejskiego w Gdańsku przez Politechnikę Gdańską. System ten jest przeznaczony...

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  • Language Context and Text-The Social Semiotics Forum

    Czasopisma

    ISSN: 2589-7233 , eISSN: 2589-7241

  • Issue of quality and reliability of spatial records information in the context of data concerning boundary points

    Publikacja

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  • Focus on Misinformation: Improving Medical Experts’ Efficiency of Misinformation Detection

    Publikacja

    - Rok 2021

    Fighting medical disinformation in the era of the global pandemic is an increasingly important problem. As of today, automatic systems for assessing the credibility of medical information do not offer sufficient precision to be used without human supervision, and the involvement of medical expert annotators is required. Thus, our work aims to optimize the utilization of medical experts’ time. We use the dataset of sentences taken...

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  • Anna Baj-Rogowska dr

    Anna Baj-Rogowska zatrudniona jest na stanowisku adiunkta w Katedrze Informatyki w Zarządzaniu (Politechnika Gdańska, Wydział Zarządzania i Ekonomii). Jej wyższa edukacja związana jest z Uniwersytetem Gdańskim, gdzie ukończyła magisterskie studia informatyczne, studia doktoranckie i następnie uzyskała stopień naukowy doktora nauk ekonomicznych w zakresie nauk o zarządzaniu (Katedra Informatyki Ekonomicznej na Wydziale Zarządzania...

  • Krzysztof Goczyła prof. dr hab. inż.

    Krzysztof Goczyła, profesor zwyczajny Politechniki Gdańskiej, informatyk, specjalista z inżynierii oprogramowania, inżynierii wiedzy i baz danych. Ukończył studia wyższe na  Wydziale Elektroniki Politechniki Gdańskiej w 1976 r. jako magister inżynier elektronik w specjalności automatyka. Na Politechnice Gdańskiej pracuje od 1976. Na Wydziale Elektroniki PG w 1982 r. uzyskał doktorat z informatyki, a w 1999 r. habilitację. W 2012...

  • Towards a Framework for Context Awareness Based on Textual Process Data

    Publikacja

    - Rok 2023

    Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it be-comes essential to employ relevant text analytics techniques to increase the awareness of business process (BP) workers,...

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  • Piotr Krajewski dr

    Piotr Krajewski pracuje jako starszy bibliotekarz w Bibliotece Politechniki Gdańskiej. Jako pracownik Sekcji Informacji Naukowo-Technicznej skupia się przede wszystkim na zagadnieniach związanych z ruchem Open Access oraz rolą repozytoriów instytucjonalnych w jego rozwoju. Jest także autorem artykułów poruszających kwestie standaryzacji statystyk wykorzystania zasobów elektronicznych jak również problematykę „drapieżnych wydawców”....

  • SIGIR workshop: Stylistic Analysis of Text For Information Access

    Konferencje

  • Green Sample Collection

    Publikacja

    The term of “green sample collection” is directly associated with both passive and dynamic analytical tools which allow for simultaneous management of the stage of collection and isolation and/or enrichment of a broad spectrum of chemical compounds from environmental samples. The use of passive sampling techniques at the stage of sample collection makes it possible to obtain in a simple yet inexpensive manner an analytical information...

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  • Community Road Safety Strategies in the Context of Sustainable Mobility

    Publikacja

    - Rok 2018

    The paper presents an overview on the road safety strategies and action plans implemented in the framework of the “SOL - Save our lives: Comprehensive road safety strategy for Central Europe” project. It contains summarization of learned knowledge regarding the efficiency of measures applied and highlights examples of good practices. The purpose of the paper is to provide recommendations for effective and successful planning, formulation...

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  • Study of Statistical Text Representation Methods for Performance Improvement of a Hierarchical Attention Network

    To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such as document classification, document summarization, and so forth. In our work, we study the quality of text representations using statistical methods and compare them to approaches...

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  • Improving medical experts’ efficiency of misinformation detection: an exploratory study

    Publikacja
    • A. Nabożny
    • B. Balcerzak
    • M. Morzy
    • A. Wierzbicki
    • P. Savov
    • K. Warpechowski

    - WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS - Rok 2022

    Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...

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  • Information Logistics as a Paradigm

    This paper presents a paradigm-based approach to information logistics. The approach deals with extracting concepts specific to information logistics in categories typical to paradigms. The resulting description should be easily connected to complementary components which are based on other paradigms, e.g. business process management and information systems development. Empirical part aims at checking and enhancing features typical...

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  • The role of heterotrophic plate count bacteria in bottled water quality assessment

    The ever-growing popularity of bottled water is the result of many factors. One of the most relevant is the widespread belief that bottled water is safer for drinking than tap water. In fact many literature sources describe the rapid growth of the amounts of microorganisms in bottled water samples following the bottling process. The main purpose of this article is to collect the information on the factors which may affect this...

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  • Rust QA: question answering dataset for "The Rust Programming Language" in SQuAD 2.0 format

    Dane Badawcze
    open access
    • S. Olewniczak
    • M. Maciszka
    • K. Paluszewski
    • G. Pozorski
    • W. Rosenthal
    • Ł. Zaleski

    Rust QA is a dataset for training and evaluating QA systems. The dataset consists of 1068 questions to "The Rust Programming Language" book (https://doc.rust-lang.org/stable/book/) with the answers provided as text spans from the book. The dataset is released in SQuAD 2.0 format.

  • Prioritising national healthcare service issues from free text feedback – A computational text analysis & predictive modelling approach

    Publikacja

    - DECISION SUPPORT SYSTEMS - Rok 2024

    Patient experience surveys have become a key source of evidence for supporting decision-making and continuous quality improvement within healthcare services. To harness free-text feedback collected as part of these surveys for additional insights, text analytics methods are increasingly employed when the data collected is not amenable to traditional qualitative analysis due to volume. However, while text analytics techniques offer...

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  • Magdalena Szuflita-Żurawska

    Magdalena Szuflita-Żurawska jest kierownikiem Sekcji Informacji Naukowo-Technicznej na Politechnice Gdańskiej oraz Liderem Centrum Kompetencji Otwartej Nauki przy Bibliotece Politechniki Gdańskiej. Jej główne zainteresowania badawcze koncentrują się w obszarze komunikacji naukowej oraz otwartych danych badawczych, a także motywacji i produktywności naukowej. Jest odpowiedzialna między innymi za prowadzenie szkoleń dla pracowników...

  • Tax Policy Tools of Selected European Countries as a Mechanism for Counteracting the Effects of the Crisis Caused by the COVID-19 Disease Pandemic

    Publikacja

    Crises play an important role in a economics life. They are common and it is impossible to omit them. This following study investigates the concept of ‘crisis’ in the context of economic situation. This text describes the most important financial crises that took place in the past. After that authors passes on a detailed analysis of the actual corona-crisis and the way that it affects the economy globally. The main goal of this...

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  • Selection of Relevant Features for Text Classification with K-NN

    In this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...

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  • What matters most to patients? On the Core Determinants of Patient Experience from Free Text Feedback

    Publikacja

    - Rok 2021

    Free-text feedback from patients is increasingly used for improving the quality of healthcare services and systems. A major reason for the growing interest in harnessing free-text feedback is the belief that it provides richer information about what patients want and care about. The use of computational approaches such as structural topic modelling for analysing large unstructured textual data such as free-text feedback from patients...

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  • Under the Fire of Disinformation. Attitudes Towards Fake News in the Ukrainian Frozen War

    Publikacja
    • J. Kreft
    • M. Boguszewicz-kreft
    • D. Hliebova

    - Journalism Practice - Rok 2023

    In this article, we examine individual attitudes towards fake news in the extreme conditions of a propaganda war, taking into account the complex regional social and historical conditions. For this purpose, within the mobile boundary zone during frozen war in Ukraine, we conducted qualitative research among representatives of generations X and Z (high school teachers and students). Being accustomed to fake news turned out to be...

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  • Can Grand Design Doctrines Go Well with Locally Reinvented Urbanisms? Notes from Polish Cities in Transition

    Publikacja

    - Rok 2014

    The text explores how New Urbanism ideas, a comprehensive global design doctrine, transgress into the context of Polish planning practice. New Urbanism is considered through the perspective of the decentralization of a discussion on a planning policy and a modernization of a State, resulting form its post-Socialist urban change. In the text, New Urbanism is understood as a neotraditionalist movement i.e. drawing from the pre-modernist...

  • Paweł Lubomski dr inż.

    Osoby

    Absolwent Politechniki Gdańskiej. Po zebraniu doświadczeń jako analityk systemowy i biznesowy w dużych korporacjach IT wrócił na uczelnię, gdzie aktualnie pracuje na stanowisku Dyrektora Centrum Usług Informatycznych. Naukowo specjalizuje się w zagadnieniach bezpieczeństwa i niezawodności dużych rozproszonych systemów usługowych oraz budową bezpiecznych i wydajnych architektur IT, a także projektowania architektur chmurowych oraz...

  • Agile Commerce in the light of Text Mining

    The survey conducted for this study reveals that more than 84% of respondents have never encountered the term “agile commerce” and do not understand its meaning. At the same time, they are active participants of this strategy. Using digital channels as customers more often than ever before, they have already been included in the agile philosophy. Based on the above, the purpose of the study is to analyse major text sets containing...

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  • Concept description vectors and the 20 question game

    Publikacja

    - Rok 2005

    Knowledge of properties that are applicable to a given object is a necessary prerequisite to formulate intelligent question. Concept description vectors provide simplest representation of this knowledge, storing for each object information about the values of its properties. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured...

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  • Intelligent equalizer solution employing music genre and the room characteristics analysis

    The paper presents an intelligent equalizer solution based on room acoustic conditions and music genre analysis. A series of acoustic characteristic measurements are performed for checking the concept proposed. White noise (reference signal) and audio excerpts belonging to six music genres are utilized as excitation signals in measurements. This results in registration of frequency responses of rooms and reverberation times. Signals...

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  • Semantic Integration of Heterogeneous Recognition Systems

    Publikacja

    - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

    Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information...

  • Automatic Detection and Monitoring of Cyanobacterial Blooms in the Context of the Marine Cadastre

    Publikacja

    - Rok 2018

    In the wake of the European and global spatial data infrastructures (SDI) it is important to build information systems which use and serve thematic data in compliance with the INSPIRE Directive. In the context of hydrographic data, the Directive requires EU member states to collect and share information on maritime areas divided into regions and sub-regions, as well as coastal zone management areas. These data are part of recently...

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  • Radar with rotary head

    Publikacja
    • K. Zubiel

    - Rok 2018

    Nowadays usage of radars is no longer reserved only for the military purpose. It finds many applications in various areas of science and industry. It may be used in order to obtain extended information about the state of critical infrastructure, like shipyards or petrochemical plants. Furthermore, it may be applied in vision denied environments. The aim of this project...

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  • Lossless Compression of Binary Trees with Correlated Vertex Names

    Publikacja

    - Rok 2016

    Compression schemes for advanced data structures have become the challenge of today. Information theory has traditionally dealt with conventional data such as text, image, or video. In contrast, most data available today is multitype and context-dependent. To meet this challenge, we have recently initiated a systematic study of advanced data structures such as unlabeled graphs [1]. In this paper, we continue this program by considering...

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  • Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing

    Publikacja

    - Business Process Management Journal - Rok 2021

    Purpose This study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of meaningful insights extraction. The authors apply standard natural language processing (NLP) approaches to gain valuable knowledge in the form of business process (BP) complexity concept suggested in the study. It is built on the objective, subjective and meta-knowledge...

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  • Monitoring of volatile organic compounds (VOCs) in atmospheric air. Part II. Sample collection and preparation

    The paper reviews literature information on air sampling techniques commonly used for monitoring volatile organic compounds (VOCs) levels in atmospheric air. It describes containers for collecting samples of atmospheric air, such as vacuum canisters and bags made from synthetic materials. It discusses dynamic, passive and denudational techniques for sampling analytes from air combining isolation with preliminary enrichment, and...

  • Distributed representation of information on cyclic events

    A representation of information on cyclic events has been proposed which is advantageous for computing environments where a distributed set of Receivers reacts to cyclic events generated by distributed sources. In such scenario no immanent central information repository exist on event timing or volume. Receivers are able to learn the event cycles without communicating with each other, merely on the basis of the fact that an event...

  • Evaluating architecture students' knowledge of the history of architecture by tests and by drawings: a comparative analysis

    The methods of evaluating students’ knowledge in architectural education, and in particular in education on history of architecture, are specific in many respects. Apart from checking the general knowledge of history concerning chronology, artistic trends, styles, main objects and architects, it should also check students’ ability to analyse the historic architecture in a drawing form. Such a form of presenting architecture has...

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  • Web Services Integration with Regard to the Metrics of Data Believability

    Publikacja

    - Rok 2012

    The paper is concerned with estimating the believability of data acquired from web services. In the paper, a new method for believability estimation is introduced. The method is designed for integrating web services. The believability estimation is based on the following metrics: quantity, reputation, approval, independence, traceability, maturity, authority and objectivity. In the method, data trustworthiness is determined by...

  • Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning

    Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...

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  • The Method of a Two-Level Text-Meaning Similarity Approximation of the Customers’ Opinions

    The method of two-level text-meaning similarity approximation, consisting in the implementation of the classification of the stages of text opinions of customers and identifying their rank quality level was developed. Proposed and proved the significance of major hypotheses, put as the basis of the developed methodology, notably about the significance of suggestions about the existence of analogies between mathematical bases of...

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  • Intelligent information services 23/24

    Kursy Online
    • J. Szymański

    Information retrieval Text categorization Natural language processing

  • Joanna Błasiok mgr

    Joanna Błasiok pracuje w Bibliotece Politechniki Gdańskiej w Sekcji Informacji Naukowo-Technicznej na stanowisku starszego bibliotekarza. Ukończyła studia na kierunku Informacja Naukowa i Bibliotekoznawstwo na Uniwersytecie Wrocławskim - specjalność: biblioteki cyfrowe. W Bibliotece Politechniki Gdańskiej zajmuje się problematyką prawa autorskiego w kontekście publikowania pełnych tekstów w Repozytorium Open Access, będącym częścią...

  • A CONTEXT IN RECOMMENDER SYSTEMS

    Publikacja

    - Rok 2016

    Recommender systems aim to propose potentially interesting items to a user based on his preferences or previous interaction with the system. In the last decade, researcher found out that known recommendation techniques are not sufficient to predict user decisions. It has been noticed that user preferences strongly depend on the context in which he currently is. This raises new challenges for the researchers such as how to obtain...

  • Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile

    Publikacja

    - Rok 2022

    Recommender Systems (RS) became popular tools in many Web services like Netflix, Amazon, or YouTube, because they help a~user to avoid an information overload problem. One of the types of RS are Context-Aware RS (CARS) which exploit contextual information to provide more adequate recommendations. Cross-Domain RS (CDRS) were created as a response to the data sparsity problem which occurs when only few users can provide reviews or...

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