Search Results for author: Labiba Jahan

Found 4 papers, 0 papers with code

Inducing Stereotypical Character Roles from Plot Structure

no code implementations EMNLP 2021 Labiba Jahan, Rahul Mittal, Mark Finlayson

Stereotypical character roles-also known as archetypes or dramatis personae-play an important function in narratives: they facilitate efficient communication with bundles of default characteristics and associations and ease understanding of those characters’ roles in the overall narrative.

A Straightforward Approach to Narratologically Grounded Character Identification

no code implementations COLING 2020 Labiba Jahan, Rahul Mittal, W. Victor Yarlott, Mark Finlayson

One of the most fundamental elements of narrative is character: if we are to understand a narrative, we must be able to identify the characters of that narrative.

Natural Language Understanding

Character Identification Refined: A Proposal

no code implementations WS 2019 Labiba Jahan, Mark Finlayson

The most important of the two corpora is a set of 46 Russian folktales, on which the model achieves an F1 of 0. 81.

A New Approach to Animacy Detection

no code implementations COLING 2018 Labiba Jahan, Geeticka Chauhan, Mark Finlayson

The system achieves an F1 of 0. 88 for classifying the animacy of referring expressions, which is comparable to state of the art results for classifying the animacy of words, and achieves an F1 of 0. 75 for classifying the animacy of coreference chains themselves.

Coreference Resolution Semantic Role Labeling +2

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