Bootstrapping Knowledge Graphs From Images and Text
نویسندگان
چکیده
منابع مشابه
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
We present a baseline approach for cross-modal knowledge fusion. Different basic fusion methods are evaluated on existing embedding approaches to show the potential of joining knowledge about certain concepts across modalities in a fused concept representation.
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We describe a new approach to semi-supervised adaptive learning of event extraction from text. Given a set of examples and an un-annotated text corpus, the BEAR system (Bootstrapping Events And Relations) will automatically learn how to recognize and understand descriptions of complex semantic relationships in text, such as events involving multiple entities and their roles. For example, given ...
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Images and videos on webs and in databases are increasing. It is a pressing task to develop effective methods to manage and retrieve these multimedia resources by their content. Text, which carries high-level semantic information, is a kind of important object that is useful for this task.When a machine generated text is printed against clean backgrounds, it can be converted to a computer reada...
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Automatic image annotation, structuring of images, content-based information indexing and retrieval are based on the textual data present in those images. Text extraction from images is an extremely difficult and challenging job due to the variations in the text such as text scripts, style, font, size, color, alignment and orientation; and due to extrinsic factors such as low image contrast (te...
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When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. This paper presents bootstrapping as an alternative approach to learning from large sets of labeled data. Instead of a large quantity of labeled data, this paper advocates using a small amount of seed information and a large collec...
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ژورنال
عنوان ژورنال: Frontiers in Neurorobotics
سال: 2019
ISSN: 1662-5218
DOI: 10.3389/fnbot.2019.00093