In this task, you're given a sentence and question. Based on the information provided in a given sentence, you should identify the shortest continuous text span from the sentence that serves as an answer to the given question. Answer the question using coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said. 

Example Input: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her. Question: What looks dowdy on Grace?
Example Output: sweater

Example Input: Sentence: I couldn't find a spoon, so I tried using a pen to stir my coffee. But that turned out to be a bad idea, because it got full of coffee. Question: What got full of coffee?
Example Output: pen

Example Input: Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them. Question: Which cookie should we make more of, next time?
Example Output:
oatmeal