Papers with character identification
Improving Automatic Quotation Attribution in Literary Novels (2023.acl-short)
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| Challenge: | Existing methods for quotation attribution in literary novels require varying levels of available information. |
| Approach: | They propose to train and evaluate models for character identification, coreference resolution, quotation identification and speaker attribution tasks using an annotated dataset. |
| Outcome: | The proposed model scores on speaker attribution task on the same scale as state-of-the-art models. |
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters (N19-1)
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| Challenge: | Existing literature analysis does not focus on roles of characters or on relationships between them. |
| Approach: | They propose to combine emotion and character identification into a unified framework for character network extraction from fictional texts. |
| Outcome: | The proposed task is based on fan-fiction short stories and is able to predict emotion relations in the extracted network graph. |
A Straightforward Approach to Narratologically Grounded Character Identification (2020.coling-main)
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| Challenge: | Existing definitions of character are based on simplified or implicit definitions that do not capture essential distinctions between characters and other referents in narratives. |
| Approach: | They propose a narratologically grounded definition of character that is based on clear narrological principles and annotated 170 narrative texts. |
| Outcome: | The proposed definition of character is based on clear narratological principles and can be reliably annotated (0.78 Cohen’s ). |
Character Coreference Resolution in Movie Screenplays (2023.findings-acl)
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| Challenge: | Movie screenplays have a distinct narrative structure. |
| Approach: | They develop a method to extract structural information and character coreference clusters from movie screenplays by leveraging a movie parser and a character coreferser. |
| Outcome: | The proposed methods scale to long movie screenplays without dramatically increasing their memory footprints. |