Cause-Effect Relation Learning
نویسنده
چکیده
To be able to answer the question What causes tumors to shrink?, one would require a large cause-effect relation repository. Many efforts have been payed on is-a and part-of relation leaning, however few have focused on cause-effect learning. This paper describes an automated bootstrapping procedure which can learn and produce with minimal effort a causeeffect term repository. To filter out the erroneously extracted information, we incorporate graph-based methods. To evaluate the performance of the acquired causeeffect terms, we conduct three evaluations: (1) human-based, (2) comparison with existing knowledge bases and (3) application driven (SemEval-1 Task 4) in which the goal is to identify the relation between pairs of nominals. The results show that the extractions at rank 1500 are 89% accurate, they comprise 61% from the terms used in the SemEval-1 Task 4 dataset and can be used in the future to produce additional training examples for the same task.
منابع مشابه
The Effect of Emotionality and Openness to Experience on Vocabulary Learning Strategies of Iranian EFL Students
This study explored the relationship between vocabulary learning strategies and learner variables of Iranian learners of English as a foreign Language (EFL) with special reference to their personality types to examine what implications these associations have for teaching EFL. It tried to find any possible relation between vocabulary learning strategies use of Iranian EFL students and two perso...
متن کاملTemporal Causal Strength Learning with Multiple Causes
When learning the relation between a cause and effect, how do people control for all the other factors that influence the same effect? Two experiments tested a hypothesis that people focus on events in which the target cause changes and all other factors remain stable. In both four-cause (Experiment 1) and eight-cause (Experiment 2) scenarios, participants learned causal relations more accurate...
متن کاملReconstruction vs. Interaction-based Output Practice: (in relation to EFL learner’s speaking skill and learning styles)
The belief that output practice is crucial in L2 learning affects foreign language teaching methodology. And researchers have endeavored to find the best ways to encourage learners to produce and practice whatever they hear as an input in the process of learning. Moreover, learning styles and the importance of matching learners’ styles with those of teachers inspired the researchers to inves...
متن کاملSemi-supervised interpolation in an anticausal learning scenario
According to a recently stated ‘independence postulate’, the distribution Pcause contains no information about the conditional Peffect|cause while Peffect may contain information about Pcause|effect. Since semi-supervised learning (SSL) attempts to exploit information from PX to assist in predicting Y from X, it should only work in anticausal direction, i.e., when Y is the cause and X is the ef...
متن کاملValidation of Motivational Self-regulatory Strategies Questionnaire and Examination of Its Relation to L2 Reading, L2 Writing and Use of Language Learning Strategies
The effect of motivational self-regulatory strategies on L2 learners’ achievement has scarcely been examined within the context of our country, Iran. This study is concerned with examining the relationship between motivational self-regulatory strategies and their L2 reading and L2 writing achievement. It also explores the relationship of motivational self-regulatory strategies and use of langua...
متن کامل