Text Information Extraction Based on Simulated Annealing Algorithm and Hidden Markov Model

An improved combined method embedded with modified simulated annealing algorithm and second-order hidden Markov model was presented.The modified simulated annealing algorithm improves the temperature at the proper time,which increased the efficiency of local search optimization.The second-order hidden Markov model considers the relevance of probability and historical status which improved the reliability of information extraction.Experimental results show that the new method has a better improvement in precision,recall and time performance than the method combined with simulated annealing algorithm and first-order hidden Markov model.