Constructing a dictionary describing feature changes of arguments in event sentences

Common sense knowledge plays an essential role for natural language understanding, human-machine communication and so forth. In this paper, we acquire knowledge of events as common sense knowledge because there is a possibility that dictionaries of such knowledge are useful for recognition of implication relations in texts, inference of human activities and their planning, and so on. As for event knowledge, we focus on feature changes of arguments (hereafter, FCAs) in event sentences as knowledge of events. To construct a dictionary of FCAs, we propose a framework for acquiring such knowledge based on both of the automatic approach and the collective intelligence approach to exploit merits of both approaches. We acquired FCAs in event sentences through crowdsourcing and conducted the subjective evaluation to validate whether the FCAs are adequately acquired. As a result of the evaluation, it was shown that we were able to reasonably well capture FCAs in event sentences.