The reading comprehension of document in Natural Language Processing (NLP) requires the technologies such as representation, understanding and reasoning on the document. Aiming at the choice questions of literature reading comprehension in college entrance examination, a sentence composition model based on the hierarchical composition model was proposed, which could achieve the semantic consistency measure at the sentence level. Firstly, a neural network model was trained by the triple consisted of single word and phrase vector. Then, the sentence vectors were combined by the trained neural network model (two composition methods:the recursion method and the recurrent method) to obtain the distributed vector of sentence. The similarity between sentences was presented by the cosine similarity between the two sentence vectors. In order to verify the proposed method, the 769 simulation materials and 13 Beijing college entrance examination materials (including the source text and the choice question) were collected as the test set. The experimental results show that, compared with the traditional optimal method based on HowNet semantics, the precision of the proposed recurrent method is improved by 7.8 percentage points in college entrance examination materials and 2.7 percentage points in simulation materials respectively.

In order to achieve the real-time rendering of continuous frame for participating media scene, a rendering algorithm based on optical flow was proposed. First, the regional matching method was used to calculate the field of optical flow between key frames. Then the field of optical flow between intermediate frames was calculated by the interpolation method, and the optical coherence function between frames was used to denote the consistency of optical flow to guarantee that the media motion won't be suddenly changed. Finally, the dynamic scene of continuous frames was rendered according to the field of optical flow. In the participating media scene rendering for 5 continuous frames, the efficiency of the proposed algorithm increase nearly five times than that of based on Radial Basis Function (RBF) model, real-time rendering of consecutive frames is implemented and rendering quality is relatively high.