Challenges of Personality Prediction with Dialogue Text Sample Clauses

Challenges of Personality Prediction with Dialogue Text. ‌ Given the difficulties we have encountered in the annotation task, we have felt that the task is way more difficult than previous works. The difficulty is from both the dialogue structure and the lack of multimodal data. For the Essays dataset, the annotations are self-reports, which are relatively reliable because people know themselves and can answer Big Five questionnaires easily. As for the EAR dataset, observers only need to pay attention to the utterances of the participants and they have access to the prosodic cues from speech. As a study [8] has shown, prosodic cues are very important for human to infer personalities of a speaker. Therefore, the lack of audios and videos indeed poses serious challenges to the task given the low agreement of human annotators. If statistical models fail on the task, we should conclude that automatic personality prediction on text dialogue is difficult and we need to provide more information to the annotators. Chapter 4‌
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