Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text
This work addresses a specific problem in Natural Language Understanding for applications like story analysis or sentiment tracking, but it is incremental as it builds on existing text comprehension tasks.
The paper tackles the task of identifying whether a desire expressed in text is fulfilled, proposing models that capture cues like emotional state and actions, and shows through experiments on two datasets that understanding narrative and discourse structure is crucial for this task.
The ability to comprehend wishes or desires and their fulfillment is important to Natural Language Understanding. This paper introduces the task of identifying if a desire expressed by a subject in a given short piece of text was fulfilled. We propose various unstructured and structured models that capture fulfillment cues such as the subject's emotional state and actions. Our experiments with two different datasets demonstrate the importance of understanding the narrative and discourse structure to address this task.