Wyniki wyszukiwania dla: WIKIPEDIA, REVIEW, USE OF WIKIPEDIA, WIKIPEDIA AS A RESEARCH TOOL - MOST Wiedzy

Wyszukiwarka

Wyniki wyszukiwania dla: WIKIPEDIA, REVIEW, USE OF WIKIPEDIA, WIKIPEDIA AS A RESEARCH TOOL

Wyniki wyszukiwania dla: WIKIPEDIA, REVIEW, USE OF WIKIPEDIA, WIKIPEDIA AS A RESEARCH TOOL

  • Comparative Analysis of Text Representation Methods Using Classification

    Publikacja

    In our work, we review and empirically evaluate five different raw methods of text representation that allow automatic processing of Wikipedia articles. The main contribution of the article—evaluation of approaches to text representation for machine learning tasks—indicates that the text representation is fundamental for achieving good categorization results. The analysis of the representation methods creates a baseline that cannot...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Przegląd badań na temat Wikipedii oraz z wykorzystaniem Wikipedii jako instrument badawczego

    Publikacja

    - Rok 2020

    W badaniach dotychczas prowadzonych w Polsce Wikipedia była zarówno przedmiotem badań, jak i instrumentem badawczym. Badania na jej temat oraz na temat skutków społecznych jej używania prowadzili przedstawiciele nauk humanistycznych, społecznych, ekonomicznych i prawnych. Dla wielu badaczy (zwłaszcza z dziedziny informatyki) Wikipedia była instrumentem pomocnym w prowadzeniu różnorodnych analiz i dociekań naukowych. Niniejszy artykuł...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Spectral Clustering Wikipedia Keyword-Based search Results

    The paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...

    Pełny tekst do pobrania w portalu

  • Bidirectional Fragment to Fragment Links in Wikipedia

    The paper presents a WikiLinks system that extends the Wikipedia linkage model with bidirectional links between fragments of the articles and overlapping links’ anchors. The proposed model adopts some ideas from the research conducted in a field of nonlinear, computer-aided writing, often called a hypertext. WikiLinks may be considered as a web augmentation tool but it presents a new approach to the problem that addresses the specific...

    Pełny tekst do pobrania w portalu

  • Towards Extending Wikipedia with Bidirectional Links

    In this paper, we present the results of our WikiLinks project which aims at extending current Wikipedia linkage mechanisms. Wikipedia has become recently one of the most important information sources on the Internet, which still is based on relatively simple linkage facilities. A WikiLinks system extends the Wikipedia with bidirectional links between fragments of articles. However, there were several attempts to introduce bidirectional...

    Pełny tekst do pobrania w portalu

  • Wikipedia and WordNet integration based on words co-occurrences

    Publikacja

    - Rok 2009

    The article presents a method for automatic integration of two lexical resources: semantic dictionary WordNet and electronic encyclopaedia Wikipedia. Our goal is to add automatically an semantic tags - a WordNet synset identifier to the title of the Wikipedia article. We've analyze several different ap-proaches to these problem and implement our own solution, based on word occurrences in synsets descriptions and the article body....

  • Embedded Representations of Wikipedia Categories

    Publikacja

    - Rok 2021

    In this paper, we present an approach to building neural representations of the Wikipedia category graph. We test four different methods and examine the neural embeddings in terms of preservation of graphs edges, neighborhood coverage in representation space, and their influence on the results of a task predicting parent of two categories. The main contribution of this paper is application of neural representations for improving the...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • 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...

  • 0-step K-means for clustering Wikipedia search results

    Publikacja

    - Rok 2011

    This article describes an improvement for K-means algorithm and its application in the form of a system that clusters search results retrieved from Wikipedia. The proposed algorithm eliminates K-means isadvantages and allows one to create a cluster hierarchy. The main contributions of this paper include the ollowing: (1) The concept of an improved K-means algorithm and its application for hierarchical clustering....

  • Exact-match Based Wikipedia-WordNet Integration

    Publikacja

    Ability 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...

    Pełny tekst do pobrania w portalu

  • Relation-based Wikipedia Search System for Factoid Questions Answering

    In this paper we propose an alternative keyword search mechanism for Wikipedia, designed as a prototype solution towards factoid questions answering. The method considers relations between articles for finding the best matching article. Unlike the standard Wikipedia search engine and also Google engine, which search the articles content independently, requiring the entire query to be satisfied by a single article, the proposed...

  • Wikipedia Articles Representation with Matrix'u

    Publikacja

    - Rok 2013

    In the article we evaluate different text representation methods used for a task of Wikipedia articles categorization. We present the Matrix’u application used for creating computational datasets ofWikipedia articles. The representations have been evaluated with SVM classifiers used for reconstruction human made categories.

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Categorization of Wikipedia articles with spectral clustering

    Abstract. The article reports application of clustering algorithms for creating hierarchical groups withinWikipedia articles.We evaluate three spectral clustering algorithms based on datasets constructed with usage ofWikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.

  • Self-Organizing Map representation for clustering Wikipedia search results

    The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

  • Self–Organizing Map representation for clustering Wikipedia search results

    Publikacja

    - Rok 2011

    The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • 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.

  • Crowdsourcing-Based Evaluation of Automatic References Between WordNet and Wikipedia

    The paper presents an approach to build references (also called mappings) between WordNet and Wikipedia. We propose four algorithms used for automatic construction of the references. Then, based on an aggregation algorithm, we produce an initial set of mappings that has been evaluated in a cooperative way. For that purpose, we implement a system for the distribution of evaluation tasks, that have been solved by the user community....

    Pełny tekst do pobrania w portalu

  • Path-based methods on categorical structures for conceptual representation of wikipedia articles

    Machine learning algorithms applied to text categorization mostly employ the Bag of Words (BoW) representation to describe the content of the documents. This method has been successfully used in many applications, but it is known to have several limitations. One way of improving text representation is usage of Wikipedia as the lexical knowledge base – an approach that has already shown promising results in many research studies....

    Pełny tekst do pobrania w portalu

  • An Analysis of Neural Word Representations for Wikipedia Articles Classification

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2019

    One of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Game with a Purpose for Verification of Mappings Between Wikipedia and WordNet

    Publikacja

    - Rok 2017

    The paper presents a Game with a Purpose for verification of automatically generated mappings focusing on mappings between WordNet synsets and Wikipedia articles. General description of idea standing behind the games with the purpose is given. Description of TGame system, a 2D platform mobile game with verification process included in the game-play, is provided. Additional mechanisms for anti-cheating, increasing player’s motivation...

    Pełny tekst do pobrania w serwisie zewnętrznym