9 citations · 24 across the 8 of their papers we have counts for
4 papers · 1 filter
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu, Qiujing Wang, Shunchi Zhang +8
When reading a story, humans can quickly understand new fictional characters with a few observations, mainly by drawing analogies to fictional and real people they already know. Th…
MBTI Personality Prediction for Fictional Characters Using Movie Scripts
Yisi Sang, Xiangyang Mou, Mo Yu +3
An NLP model that understands stories should be able to understand the characters in them. To support the development of neural models for this purpose, we construct a benchmark, S…
A Survey of Machine Narrative Reading Comprehension Assessments
Yisi Sang, Xiangyang Mou, Jing Li +2
As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of…
TVShowGuess: Character Comprehension in Stories as Speaker Guessing
Yisi Sang, Xiangyang Mou, Mo Yu +3
We propose a new task for assessing machines' skills of understanding fictional characters in narrative stories. The task, TVShowGuess, builds on the scripts of TV series and takes…