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"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding

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arxiv 2109.05438 v1 pith:KMUHHYSE submitted 2021-09-12 cs.CL

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding

Faeze Brahman , Meng Huang , Oyvind Tafjord , Chao Zhao , Mrinmaya Sachan , Snigdha Chaturvedi This is my paper
classification cs.CL
keywords charactersnarrativecharacter-centricunderstandingcharacterdatasetlisculiterary
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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When reading a literary piece, readers often make inferences about various characters' roles, personalities, relationships, intents, actions, etc. While humans can readily draw upon their past experiences to build such a character-centric view of the narrative, understanding characters in narratives can be a challenging task for machines. To encourage research in this field of character-centric narrative understanding, we present LiSCU -- a new dataset of literary pieces and their summaries paired with descriptions of characters that appear in them. We also introduce two new tasks on LiSCU: Character Identification and Character Description Generation. Our experiments with several pre-trained language models adapted for these tasks demonstrate that there is a need for better models of narrative comprehension.

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