This result shows that using local context to predict description is more effective than using it to disambiguate the meanings in global context.
the low BLEU scores of Global and I-Attention models on Wikipedia dataset suggest that it is necessary to learn to ignore the noisy information in global context if the coverage of pre-trained word embeddings is extremely low (see the third and fourth rows in Table 2).