Julian Szymański - Publikacje - MOST Wiedzy

Wyszukiwarka

Filtry

wszystkich: 132

  • Kategoria
  • Rok
  • Opcje

wyczyść Filtry wybranego katalogu niedostępne

Katalog Publikacji

  • Cooperative editing approach for building Wordnet database
    Publikacja

    - Rok 2007

    Artykuł przedstawia podejście do kooperacyjnej pracy nad baza danych systemu Wordnet. Opisana została architektura systemu oraz wizualizacja sieci powiązań konceptualnych z użyciem komponentu touchgraph.

  • Semantic memory architecture for knowledge acquisition and management
    Publikacja

    - Rok 2007

    Rozumienie informacji zawartej w tekście przez komputer wymaga wiedzy stojacej za systemem informatycznym. Wiedza ta nie jest implicite zapisanej w analizowanym tekscie. Zapisana może być ona w postaci ontologii badanej dziedziny. Zasadniczym zagadnieniem jest konstrukcja takiej ontologii. Artykuł przedstawia podeście oparte na grze 20 pytań do budowy przestrzeni semantycznej dla wybranej dziedziny.

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Wontougo - kooperacyjny edytor Wordnetu

    Artkuł zawiera opis systemu pozwalającego na kooperacyjną edycją słownika opartego na wordnecie[1]. w ramach projektu dokonano przeniesienia słownika z wersji zorganizowanej na plikach do relacyjnej bazy danych. wykonano również interfejs użytkownika w postaci aplikacji opartej na bibliotece touchgraph[2]. w niniejszym artykule przedstawiono sposób odzwierciedlenia struktury plików wordnetu na bazę danych oraz możliwości, jakie...

  • Text Categorization Improvement via User Interaction
    Publikacja

    - Rok 2018

    In this paper, we propose an approach to improvement of text categorization using interaction with the user. The quality of categorization has been defined in terms of a distribution of objects related to the classes and projected on the self-organizing maps. For the experiments, we use the articles and categories from the subset of Simple Wikipedia. We test three different approaches for text representation. As a baseline we use...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • KEYSTONE WG2: Activities and Results Overview on Keyword Search
    Publikacja

    In this chapter we summarize activities and results achieved by the Keyword Search Working Group (WG2) of the KEYSTONE Cost Action IC1302. We present the goals of the WG2, its main activities in course of the action and provide a summary of the selected publications related to the WG2 goals and co-authored by WG2 members. We concludewith a summary of open research directions in the area of keyword search for structured data.

    Pełny tekst do pobrania w serwisie zewnętrznym

  • LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags
    Publikacja

    - Rok 2024

    The paper presents the approach to using tags from Stack Overflow questions as a data source in the process of building domain-specific unsupervised term embeddings. Using a huge dataset of Stack Overflow posts, our solution employs the LSA algorithm to learn latent representations of information technology terms. The paper also presents the Teamy.ai system, currently developed by Scalac company, which serves as a platform that...

    Pełny tekst do pobrania w portalu

  • From Scores to Predictions in Multi-Label Classification: Neural Thresholding Strategies

    In this paper, we propose a novel approach for obtaining predictions from per-class scores to improve the accuracy of multi-label classification systems. In a multi-label classification task, the expected output is a set of predicted labels per each testing sample. Typically, these predictions are calculated by implicit or explicit thresholding of per-class real-valued scores: classes with scores exceeding a given threshold value...

    Pełny tekst do pobrania w portalu

  • Previous Opinions is All You Need - Legal Information Retrieval System
    Publikacja

    - Rok 2023

    We 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...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Optimization of Bread Production Using Neuro-Fuzzy Modelling

    Automation of food production is an actively researched domain. One of the areas, where automation is still not progressing significantly is bread making. The process still relies on expert knowledge regarding how to react to procedure changes depending on environmental conditions, quality of the ingredients, etc. In this paper, we propose an ANFIS-based model for changing the mixer speed during the kneading process. Although the...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • A Formal Approach to Model the Expansion of Natural Events: The Case of Infectious Diseases
    Publikacja
    • M. Teresa Signes-Pont
    • J. Boters Pitarch
    • J. Szymański
    • H. Mora-Mora

    - Parallel Processing Letters - Rok 2023

    A formal approach to modeling the expansion of natural events is presented in this paper. Since the mathematical, statistical or computational methods used are not relevant for development, a modular framework is carried out that guides from the external observation down to the innermost level of the variables that have to appear in the future mathematical-computational formalization. As an example we analyze the expansion of Covid-19....

    Pełny tekst do pobrania w serwisie zewnętrznym

  • An intelligent cellular automaton scheme for modelling forest fires
    Publikacja

    - Ecological Informatics - Rok 2024

    Forest fires have devastating consequences for the environment, the economy and human lives. Understanding their dynamics is therefore crucial for planning the resources allocated to combat them effectively. In a world where the incidence of such phenomena is increasing every year, the demand for efficient and accurate computational models is becoming increasingly necessary. In this study, we perform a revision of an initial proposal...

    Pełny tekst do pobrania w portalu

  • Context Search Algorithm for Lexical Knowledge Acquisition
    Publikacja

    - CONTROL AND CYBERNETICS - Rok 2012

    A Context Search algorithm used for lexical knowledge acquisition is presented. Knowledge representation based on psycholinguistic theories of cognitive processes allows for implementation of a computational model of semantic memory in the form of semantic network. A knowledge acquisition using supervised dialog templates have been performed in a word game designed to guess the concept a human user is thinking about. The game,...

  • Adaptive Algorithm for Interactive Question-based Search
    Publikacja

    - Rok 2012

    Popular web search engines tend to improve the relevanceof their result pages, but the search is still keyword-oriented and far from "understanding" the queries' meaning. In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users' intents. We describe the algorithm implemented in a form of a questions game. The stress is put mainly on the most critical aspect of this...

  • Towards Effective Processing of Large Text Collections
    Publikacja

    In the article we describe the approach to parallelimplementation of elementary operations for textual data categorization.In the experiments we evaluate parallel computations ofsimilarity matrices and k-means algorithm. The test datasets havebeen prepared as graphs created from Wikipedia articles relatedwith links. When we create the clustering data packages, wecompute pairs of eigenvectors and eigenvalues for visualizationsof...

  • Interactive Information Retrieval Algorithm for Wikipedia Articels
    Publikacja

    - Rok 2012

    The article presents an algorithm for retrieving textual information in documents collection. The algorithm employs a category system that organizers the repository and using interaction with user improves search precision. The algorithm was implemented for simple English Wikipedia and the first evaluation results indicates the proposed method can help to retrieve information from large document repositories.

  • Collaborative approach to WordNet and Wikipedia integration
    Publikacja

    In 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...

  • Interaktywne wyszukiwanie informacji w repozytoriach danych tekstowych

    W artykule przedstawione zostały architektura oraz projekt systemu, którego celem jest umożliwienie zbudowania platformy pozwalającej na indeksowanie dużych kolekcji tekstowych oraz wyszukiwania w nich, za pomocą autorskich algorytmów, opartych o zysk informacjny oraz interaktywną komunikację z użytkownikiem. Przeprowadzono ocenę skuteczności zastosowanych algorytmów pod względem zarówno klasteryzacji jak i zbieżności algorytmu...

  • Self Organizing Maps for Visualization of Categories
    Publikacja

    - Rok 2012

    Visualization of Wikipedia categories using Self Organizing Mapsshows an overview of categories and their relations, helping to narrow down search domains. Selecting particular neurons this approach enables retrieval of conceptually similar categories. Evaluation of neural activations indicates that they form coherent patterns that may be useful for building user interfaces for navigation over category structures.

  • Parallel Computations of Text Similarities for Categorization Task
    Publikacja

    - Rok 2013

    In this chapter we describe the approach to parallel implementation of similarities in high dimensional spaces. The similarities computation have been used for textual data categorization. A test datasets we create from Wikipedia articles that with their hyper references formed a graph used in our experiments. The similarities based on Euclidean distance and Cosine measure have been used to process the data using k-means algorithm....

  • Knowledge Base Suitable for Answering Questions in Natural Language

    This paper presents three knowledge bases widely used by researchers coping with natural language processing: OpenCyc, DBpedia and YAGO. They are characterized from the point of view of questions answering system. In this paper a short description of the aforementioned system implementation is also presented.

    Pełny tekst do pobrania w serwisie zewnętrznym

wyświetlono 3038 razy