Comparing alternative options is one essential step in decision-making that we carry out everyday. If someone is interested in certain products such as digital cameras, he or she would want to know what the alternatives are and compare different cameras before making a purchase. This type of comparison activity is very common in our daily life but requires high knowledge skill. Magazines such as Consumer Reports and PC Magazine and online media such as CNet.com strive in providing editorial comparison content and surveys to satisfy this need. It is difficult to decide if two entities are comparable or not since people do compare apples and oranges for various reasons. “Ford” and “BMW” might be comparable as “car manufacturers” or as “market segments that their products are targeting”, but we rarely see people comparing “Ford Focus” and “BMW 328i”. Things also get more complicated when an entity has several functionalities. To mine comparators from comparative questions, first have to detect whether a question is comparative or not. According to our definition, a comparative question has to be a question with intent to compare at least two entities. Please note that a question containing at least two entities is not a comparative question if it does not have comparison intent. we observe that a question is very likely to be a comparative question if it contains at least two entities. Leverage this insight and develop a weakly supervised bootstrapping method to identify comparative questions and extract comparators simultaneously.