# Concept-Based Embeddings for Natural Language Processing

arXiv: https://arxiv.org/abs/1807.05519 · HTML: https://mlsanity.com/paper/1807.05519/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jul 2018.

## Built on by (most cited first, 2 of 2)

- [Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs](https://mlsanity.com/paper/2506.13192/) (2025)
- [A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains](https://mlsanity.com/paper/2504.04017/) (2025)

## Abstract (arXiv)

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.