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arXiv · 1807.05519

Concept-Based Embeddings for Natural Language Processing

Yukun Ma·Erik Cambria
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Abstract

In this work, we focus on effectively leveraging and integrating information from concept-level as well as word-level via projecting concepts and words into a lower dimensional space while retaining most critical semantics. In a broad context of opinion understanding system, we investigate the use of the fused embedding for several core NLP tasks: named entity detection and classification, automatic speech recognition reranking, and targeted sentiment analysis.

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Yukun Ma, Erik Cambria. 2018-07-15. Concept-Based Embeddings for Natural Language Processing. https://arxiv.org/abs/1807.05519

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