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Wyniki wyszukiwania dla: NATURAL LANGUAGE PROCESSING, LARGE LANGUAGE MODELS, DATA MINING, QUANTUM PHYSICS
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International Natural Language Generation Conference
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European Natural Language Generation Workshop
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Jan Daciuk dr hab. inż.
OsobyJan Daciuk uzyskał tytuł zawodowy magistra na Wydziale Elektroniki Politechniki Gdańskiej w 1986 roku, a doktorat na wydziale Elektroniki, Telekomunikacji i Informatyki PG w 1999. Pracuje na Wydziale od 1988 roku. Jego zainteresowania naukowe obejmują zastosowania automatów skończonych w przetwarzaniu języka naturalnego i przetwarzaniu mowy. Spędził ponad cztery lata w europejskich uniwersytetach i instytutach naukowych, takich...
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Evaluation of a company’s image on social media using the Net Sentiment Rate
PublikacjaVast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook. Feedback resulting from the sharing of thoughts and emotions, expressed in comments on various products and services, is becoming the key factor on which modern business is based. This feedback is...
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WikiPrefs: human preferences dataset build from text edits
Dane BadawczeThe WikiPrefs dataset is a human preferences dataset for Large Language Models alignment. It was built using the EditPrefs method from historical edits of Wikipedia featured articles
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Agile Commerce in the light of Text Mining
PublikacjaThe 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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From Sequential to Parallel Implementation of NLP Using the Actor Model
PublikacjaThe article focuses on presenting methods allowing easy parallelization of an existing, sequential Natural Language Processing (NLP) application within a multi-core system. The actor-based solution implemented with the Akka framework has been applied and compared to an application based on Task Parallel Library (TPL) and to the original sequential application. Architectures, data and control flows are described along with execution...
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A new library for construction of automata
PublikacjaWe present a new library of functions that construct minimal, acyclic, deterministic, finite-state automata in the same format as the author's fsa package, and also accepted by the author's fadd library of functions that use finite-state automata as dictionaries in natural language processing.
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The American Sign Language alphabet
Dane BadawczeThe American Sign Language dataset contains all static letters of the American alphabet, meaning those that do not require movement to perform (the entire alphabet except for the letters 'J' and 'Z', which are dynamic and require hand movement).
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Previous Opinions is All You Need - Legal Information Retrieval System
PublikacjaWe present a system for retrieving the most relevant legal opinions to a given legal case or question. To this end, we checked several state-of-the-art neural language models. As a training and testing data, we use tens of thousands of legal cases as question-opinion pairs. Text data has been subjected to advanced pre-processing adapted to the specifics of the legal domain. We empirically chose the BERT-based HerBERT model to perform...
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Justyna Signerska-Rynkowska dr inż.
OsobySince 2021 visiting assistant professor in Dioscuri Centre in Topological Data Analysis (Institute of Mathematics of the Polish Academy of Sciences, IMPAN) Since 2016 assistant professor at Gdańsk University of Technology, Faculty of Applied Physics and Mathematics, Department of Differential Equations and Mathematics Applications 2020 - 2023 Principal Investigator in "SONATA" grant “Challenges of low-dimensional...
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Quantifying inconsistencies in the Hamburg Sign Language Notation System
PublikacjaThe advent of machine learning (ML) has significantly advanced the recognition and translation of sign languages, bridging communication gaps for hearing-impaired communities. At the heart of these technologies is data labeling, crucial for training ML algorithms on a huge amount of consistently labeled data to achieve models that generalize well. The adoption of language-agnostic annotations is essential to connect different sign...
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A Model-Driven Solution for Development of Multimedia Stream Processing Applications
PublikacjaThis paper presents results of action research related to model-driven solutions in the area of multimedia stream processing. The practical problem to be solved was the need to support application developers who make their multimedia stream processing applications in a supercomputer environment. The solution consists of a domain-specific visual language for composing complex services from simple services called Multimedia Stream...
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Tomasz Maria Boiński dr inż.
OsobyZ uczelnią jestem związany już od 2000r kiedy to rozpocząłem studia na kierunku Informatyka wydziału Elektroniki, Telekomunikacji i Informatyki. Po ich ukończeniu z wyróżnieniem, w 2005 roku rozpocząłem studia doktoranckie. W trakcie studiów i bezpośrednio po ich zakończeniu zaangażowany byłem, we współpracy z firmą Hogart z Warszawy, we wdrażanie rozwiązań biznesowych w gdyńskiej firmie Elektronia S.A. (Infor FMS SunSystems) oraz...
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An efficient incremental DFA minimization algorithm
PublikacjaW tym artykule przedstawiamy nowy algorytm minimalizacji deterministycznego automatu skończonego. Algorytm jest przyrostowy - może być zatrzymany w dowolnym momencie, dając częściowo zminimalizowany automat. Wszystkie inne (znane) algorytmy minimalizacji dają wyniki pośrednie nieprzydatne dla częściowej minimalizacji. Ponieważ pierwszy algorytm jest łatwo zrozumiały ale mało wydajny, rozważamy trzy praktyczne, znaczące usprawnienia....
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SMAQ - A Semantic Model for Analitical Queries
PublikacjaWhile the Self-Service Business Intelligence (BI) becomes an important part of organizational BI solutions there is a great need for new tools allowing to construct ad-hoc queries by users with various responsibilities and skills. The paper presents a Semantic Model for Analytical Queries – SMAQ allowing to construct queries by users familiar with business events and terms, but being unaware of database or data warehouse concepts...
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Language material for English audiovisual speech recognition system developmen . Materiał językowy do wykorzystania w systemie audiowizualnego rozpoznawania mowy angielskiej
PublikacjaThe bi-modal speech recognition system requires a 2-sample language input for training and for testing algorithms which precisely depicts natural English speech. For the purposes of the audio-visual recordings, a training data base of 264 sentences (1730 words without repetitions; 5685 sounds) has been created. The language sample reflects vowel and consonant frequencies in natural speech. The recording material reflects both the...
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Badania empiryczne związane z ewolucją języków - wybrane zagadnienia
PublikacjaAlthough language evolution is an area in science yet to be developed, its foundations lay on empirical research. The aim of this article is to present three categories of ways to get empirical data on language evolution: observing language in laboratory, monitoring animal communication and analysing pidgins and creoles. The part of the paper about language in laboratory bases on English-language articles presenting the experiments...
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Video recordings of static hand gestures for gesture based interaction
Dane BadawczeThis data set contains video recording of selected simple hand gestures related to sign language. The purpose of the data set is to evaluate different computer algorithms design for hand gesture detection as well as for hand features and hand pose detection and identification. The data set contains 5 video recordings in mp4 format. Each recording is...
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Asking Data in a Controlled Way with Ask Data Anything NQL
PublikacjaWhile to collect data, it is necessary to store it, to understand its structure it is necessary to do data-mining. Business Intelligence (BI) enables us to make intelligent, data-driven decisions by the mean of a set of tools that allows the creation of a potentially unlimited number of machine-generated, data-driven reports, which are calculated by a machine as a response to queries specified by humans. Natural Query Languages...
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Collaborative approach to WordNet and Wikipedia integration
PublikacjaIn this article we present a collaborative approach tocreating mappings between WordNet and Wikipedia. Wikipediaarticles have been first matched with WordNet synsets in anautomatic way. Then such associations have been evaluated andcomplemented in a collaborative way using a web application.We describe algorithms used for creating automatic mappingsas well as a system for their collaborative development. Theoutcome enables further...
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An facile Fortran-95 algorithm to simulate complex instabilities in three-dimensional hyperbolic systems
Dane BadawczeIt is well know that the simulation of fractional systems is a difficult task from all points of view. In particular, the computer implementation of numerical algorithms to simulate fractional systems of partial differential equations in three dimensions is a hard task which has no been solved satisfactorily. Here, we provide a Fortran-95 code to solve...
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Scoreboard Architectural Pattern and Integration of Emotion Recognition Results
PublikacjaThis paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under...
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Dariusz Jenek mgr inż.
OsobyI am an interdisciplinary person with basic knowledge at Structured Query Language. I combine the following areas: - sociology, - management, - economics, - mathematics and computer science, - data analysis.
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Geometric Algebra Model of Distributed Representations
PublikacjaFormalism based on GA is an alternative to distributed representation models developed so far-Smolensky's tensor product, Holographic Reduced Representations (HRR) and Binary Spatter Code (BSC). Convolutions are replaced by geometric products, interpretable in terms of geometry which seems to be the most natural language for visualization of higher concepts. This paper recalls the main ideas behind the GA model and investigates...
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Review of the Complexity of Managing Big Data of the Internet of Things
PublikacjaTere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...
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The Impact of Foreign Accents on the Performance of Whisper Family Models Using Medical Speech in Polish
PublikacjaThe article presents preliminary experiments investigating the impact of accent on the performance of the Whisper automatic speech recognition (ASR) system, specifically for the Polish language and medical data. The literature review revealed a scarcity of studies on the influence of accents on speech recognition systems in Polish, especially concerning medical terminology. The experiments involved voice cloning of selected individuals...
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Deep neural networks for data analysis
Kursy OnlineThe aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...
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English Language Learning Employing Developments in Multimedia IS
PublikacjaIn the realm of the development of information systems related to education, integrating multimedia technologies offers novel ways to enhance foreign language learning. This study investigates audio-video processing methods that leverage real-time speech rate adjustment and dynamic captioning to support English language acquisition. Through a mixed-methods analysis involving participants from a language school, we explore the impact...
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Wiktoria Wojnicz dr hab. inż.
OsobyDSc in Mechanics (in the field of Biomechanics) - Lodz Univeristy of Technology, 2019 PhD in Mechanics (in the field of Biomechanics) - Lodz Univeristy of Technology, 2009 (with distinction) Publikacje z listy MNiSW (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis...
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Threat intelligence platform for the energy sector
PublikacjaIn recent years, critical infrastructures and power systems in particular have been subjected to sophisticated cyberthreats, including targeted attacks and advanced persistent threats. A promising response to this challenging situation is building up enhanced threat intelligence that interlinks information sharing and fine-grained situation awareness. In this paper a framework which integrates all levels of threat intelligence...
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Knowledge base views
PublikacjaThe paper introduces an extension to the NeeK language. In the current shape NeeK allows for selection of fragments of a given ontology. The selected part is automatically mapped to a database schema by Data Views implementation. Experience with a real system using Data Views has shown that the resulting database schema does not necessarily reflect the needs of the business logic of an application that uses a specific Data View....
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Exact-match Based Wikipedia-WordNet Integration
PublikacjaAbility to link between WordNet synsets and Wikipedia articles allows usage of those resources by computers during natural language processing. A lot of work was done in this field, however most of the approaches focus on similarity between Wikipedia articles and WordNet synsets rather than creation of perfect matches. In this paper we proposed a set of methods for automatic perfect matching generation. The proposed methods were...
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Viability of decisional DNA in robotics
PublikacjaThe Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...
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A universal IT system architecture for servicing, collecting, storing, processing and presenting data from wireless devices
PublikacjaIn the article we present a universal IT system architecture, which allows one to develop, based on mobile and multiplatform JAVA language, applications capable of working with many different wireless systems in an easy and effective way. Modular system architecture supports efficient data processing and enables convenient presentation of chosen parameters. Additionally, proposed IT system architecture provides easy adoption to...
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International Conference on Advanced Language Processing and Web Information Technology
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Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions
PublikacjaThe paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking...
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An Approach to Trust Case Development
PublikacjaIn the paper we present an approach to the architectural trust case development for DRIVE, the IT infrastructure supporting the processes of drugs distribution and application. The objectives of DRIVE included safer and cheaper drugs distribution and application. A trust case represents an argument supporting the trustworthiness of the system. It is decomposed into claims that postulate some trust related properties. Claims differ...
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Justyna Szostak dr inż.
OsobyI Gdańsk University of Technology: Chair of the Rector’s Internationalization Committee (October 2020 - Present) Erasmus + Coordinator for students and staff members, Faculty of Applied Physics and Mathematics (Mar 2017 - Present) Dean's Proxy for Internationalization, Faculty of Applied Physics and Mathematics (October 2020 - Present) Coordinator of the International Relations Office of the Faculty of Applied Physics and...
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SYNTHESIZING MEDICAL TERMS – QUALITY AND NATURALNESS OF THE DEEP TEXT-TO-SPEECH ALGORITHM
PublikacjaThe main purpose of this study is to develop a deep text-to-speech (TTS) algorithm designated for an embedded system device. First, a critical literature review of state-of-the-art speech synthesis deep models is provided. The algorithm implementation covers both hardware and algorithmic solutions. The algorithm is designed for use with the Raspberry Pi 4 board. 80 synthesized sentences were prepared based on medical and everyday...
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Innovation and new technologies in mineral processing
WydarzeniaZapraszamy Państwa na webinarium nt. innowacji i nowych technologii w przetwórstwie surowców mineralnych z dyrektorem globalnym firmy FLSmidth Flotation. Obowiązuje rejestracja.
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The Principles of Model Building Concepts Which Are Applied to the Design Patterns for Smart Cities
PublikacjaThe involvement of citizens into decision-making processes is one of the main features of smart cities. Such commitment is reflected in the form of requirements towards the city, and the benefits which are expected from the city. Requirements and benefits are thus the primary language of communication between decision-makers and urban residents. To develop such a language, it becomes necessary to develop design patterns for Smart...
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Modelling and simulation of GPU processing in the MERPSYS environment
PublikacjaIn this work, we evaluate an analytical GPU performance model based on Little's law, that expresses the kernel execution time in terms of latency bound, throughput bound, and achieved occupancy. We then combine it with the results of several research papers, introduce equations for data transfer time estimation, and finally incorporate it into the MERPSYS framework, which is a general-purpose simulator for parallel and distributed...
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Ontology clustering by directions algorithm to expand ontology queries
PublikacjaThis paper concerns formulating ontology queries. It describes existing languages in which ontologies can be queried. It focuses on languages which are intended to be easily understood by users who are willing to retrieve information from ontologies. Such a language can be, for example, a type of controlled natural language (CNL). In this paper a novel algorithm called Ontology Clustering by Directions is presented. The algorithm...
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Application of Semantic Knowledge Management System in Selected Areas of Polish Public Administration
PublikacjaThis paper describes an application of semantic technologies and knowledge management systems in chosen areas of Polish public administration. Short analyses of crisis management and EU policy coordination processes are presented. An architecture of a knowledge management system with interfaces using controlled natural language is proposed. A lot of examples are shown that prove a usefulness of semantic knowledge management and...
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Dynamic Semantic Visual Information Management
PublikacjaDominant Internet search engines use keywords and therefore are not suited for exploration of new domains of knowledge, when the user does not know specific vocabulary. Browsing through articles in a large encyclopedia, each presenting a small fragment of knowledge, it is hard to map the whole domain, see relevant concepts and their relations. In Wikipedia for example some highly relevant articles are not linked with each other....
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Waste management in the mining industry of metals ores, coal, oil and natural gas - A review
PublikacjaWaste generated due to mining activity poses a serious issue due to the large amounts generated, even up to 65 billion tons per year, and is often associated with the risk posed by its storage and environmental management. This work aims to review waste management in the mining industry of metals ores, coal, oil and natural gas. It includes an analysis and discussion on the possibilities for reuse of certain types of wastes generated...
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Modeling the Customer’s Contextual Expectations Based on Latent Semantic Analysis Algorithms
PublikacjaNowadays, in the age of Internet, access to open data detects the huge possibilities for information retrieval. More and more often we hear about the concept of open data which is unrestricted access, in addition to reuse and analysis by external institutions, organizations and people. It’s such information that can be freely processed, add another data (so-called remix) and then published. More and more data are available in text...
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Monitoring of the Process of System Information Broadcasting in Time
PublikacjaOne of the problems of quantum physics is how a measurement turns quantum, noncopyable data, towards copyable classical knowledge. We use the quantum state discrimination in a central system model to show how its evolution leads to the broadcasting of the information, and how orthogonalization and decoherence factors allow us to monitor the distance of the state in question to the one perfectly broadcasting information, in any...
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Personal adaptive tuning of mobile computer audio
PublikacjaAn integrated methodology for enhancing audio quality in mobile computers is presented. The key features are adaptation of the characteristics of the acoustic track to the changing conditions and to the user's individual preferences. Original signal processing algorithms are introduced, which concern: linearization of frequency response, dialogue intelligibility enhancement and dynamics processing tuned up to the user's preferences....