Vector of Locally Aggregated Embeddings for Text Representation
We present Vector of Locally Aggregated Embeddings (VLAE) for effective and, ultimately, lossless representation of textual content. Our model encodes each input text by effectively identifying and integrating the representations of its semantically-relevant parts. The proposed model generates high quality representation of textual content and improves the classification performance of current state-of-the-art deep averaging networks across several text classification tasks.
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ClassificationGeneral Classificationtext-classificationText ClassificationSimilar Papers 제목 키워드 기반
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