In order to truly understand a piece of text， it is very important to grasp the main clues of the original text in the process of reading comprehension. Aiming at the questions of main clues in machine reading comprehension， a machine reading comprehension method based on event representation was proposed. Firstly， the textual event graph including the representation of events， the extraction of event elements and the extraction of event relations was extracted from the reading material by clue phrases. Secondly， after considering the time elements， emotional elements of events and the importance of each word in the document， the TextRank algorithm was used to select the events related to the clues. Finally， the answers of the questions were constructed based on the selected clue events. Experimental results show that on the test set composed of the collected 339 questions of clues， the proposed method is better than the sentence ranking method based on TextRank algorithm on BiLingual Evaluation Understudy （BLEU） and Consensus-based Image Description Evaluation （CIDEr） evaluation indexes. In specific， BLEU-4 index is increased by 4.1 percentage points and CIDEr index is increased by 9 percentage points.
