4. The system of claim 1 , wherein the summarization processor generates an article summary by: 1) determining a maximal marginal relevance score for each sentence in the potential candidate sentences category based at least in part on the preliminary score for that sentence, the title of the article, a vector space of the combination of the sentences in the potential candidate sentences category and the sentences in the weakly rejected sentences category, and a weighting constant; 2) adding the sentence with the highest maximal marginal relevance score to the article summary; 3) removing the sentence with the highest maximal marginal relevance score from the potential candidate sentences category; and 4) repeating steps 1-3 until the number of characters in the article summary reaches a predetermined threshold.
4. The system of claim 1 , wherein the summarization processor generates an article summary by: 1) determining a maximal marginal relevance score for each sentence in the potential candidate sentences category based at least in part on the preliminary score for that sentence, the title of the article, a vector space of the combination of the sentences in the potential candidate sentences category and the sentences in the weakly rejected sentences category, and a weighting constant; 2) adding the sentence with the highest maximal marginal relevance score to the article summary; 3) removing the sentence with the highest maximal marginal relevance score from the potential candidate sentences category; and 4) repeating steps 1-3 until the number of characters in the article summary reaches a predetermined threshold. 5. The system of claim 4 , wherein the summarization processor reorders the sentences in the article summary based on the sentence's position in the article.