Nymble

Citations Over TimeTop 1% of 1997 papers

Abstract

This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the standard hidden Markov model. We present our justification for the problem and our approach, a detailed discussion of the model itself and finally the successful results of this new approach.

Related Papers

• → Mid-long Term Load Forecasting Using Hidden Markov Model(2009)11 cited
• → On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches(2014)25 cited
• → A mixed autoregressive hidden-markov-chain model applied to people's movements(2012)12 cited
• Research of HMM and I/O HMM used in protein secondary structure prediction(2002)
• Susquehanna Chorale Spring Concert "Roots and Wings"(2017)