311,756 research outputs found

    Extraction of Semantic Relations from Wikipedia Text Corpus

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    This paper proposes the algorithm for automatic extraction of semantic relations using the rule-based approach. The authors suggest identifying certain verbs (predicates) between a subject and an object of expressions to obtain a sequence of semantic relations in the designed text corpus of Wikipedia articles. The synsets from WordNet are applied to extract semantic relations between concepts and their synonyms from the text corpus

    Object Proposals for Text Extraction in the Wild

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    Object Proposals is a recent computer vision technique receiving increasing interest from the research community. Its main objective is to generate a relatively small set of bounding box proposals that are most likely to contain objects of interest. The use of Object Proposals techniques in the scene text understanding field is innovative. Motivated by the success of powerful while expensive techniques to recognize words in a holistic way, Object Proposals techniques emerge as an alternative to the traditional text detectors. In this paper we study to what extent the existing generic Object Proposals methods may be useful for scene text understanding. Also, we propose a new Object Proposals algorithm that is specifically designed for text and compare it with other generic methods in the state of the art. Experiments show that our proposal is superior in its ability of producing good quality word proposals in an efficient way. The source code of our method is made publicly available.Comment: 13th International Conference on Document Analysis and Recognition (ICDAR 2015

    PDF Text Extraction

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    Práce se zabývá extrakcí textu z dokumentu PDF, obsahující především vícesloupcový text. Je zde popsána struktura PDF a rozbor získání textu z PDF. Práce se dále zaměřuje na návrh a implementaci algoritmu vylepšujicí extrakci textu.Bachelor's thesis is concerned with text extraction from PDF dokument which contains mainly multi-column text. There's a description of PDF structure and analysis of text extraction from PDF document. Thesis is focused on suggestion of algorithm's implementation of improving text extraction.
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