论文信息 - Code Mixed Entity Extraction in Indian Languages using Neural Networks

Code Mixed Entity Extraction in Indian Languages using Neural Networks

In this paper we present our submission for FIRE 2016 Shared Task on Code Mixed Entity Extraction in Indian Languages. We describe a Neural Network system for Entity Extraction in Hindi-English Code Mixed text. Our method uses distributed word representations as features for the Neural Network and therefore, can easily be replicated across languages. Our system ranked first place for Hindi-English with an F1-score of 68.24% .

Riyaz Ahmad Bhat | Manish Shrivastava | Irshad Ahmad Bhat

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