Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data (N18-1)
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| Challenge: | Recent research has focused on identifying affective events in text, which are activities or states that positively or negatively affect the people who experience them. |
| Approach: | They propose to categorize affective events based upon human need categories that often explain people’s motivations and desires: PHYSIOLOGICAL, HEALTH, LEISURE, SOCIAL, FINANCIAL, COGNITION, and FREEDOM. |
| Outcome: | The proposed model learns from unlabeled data and produces significantly better results than individual classifiers. |
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| Challenge: | Existing representation schemes for emotion analysis are based on label formats, natural languages, and even disparate model architectures. |
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| Challenge: | Using a crowdsourced corpus of 25,000 event phrases, we construct a new task that uses commonsense reasoning to reason about the likely intents and reactions of the event participants. |
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