Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit
In this demo we present WebVectors, a free and open-source toolkit helping to deploy web services which demonstrate and visualize distributional semantic models (widely known as word embeddings). WebVectors can be useful in a very common situation when one has trained a distributional semantics model for one{'}s particular corpus or language (tools for this are now widespread and simple to use), but then there is a need to demonstrate the results to general public over the Web. We show its abilities on the example of the living web services featuring distributional models for English, Norwegian and Russian.
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Machine TranslationNamed Entity Recognition (NER)Sentiment AnalysisWord EmbeddingsSimilar Papers 제목 키워드 기반
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