Breaking the Narrative: Scene Segmentation through Sequential Sentence Classification

• In this paper, we describe our submission to the Shared Task on Scene Segmentation (STSS). The shared task requires participants to segment novels into coherent segments, called scenes. We approach this as a sequential sentence classification task and offer a BERT-based solution with a weighted cross-entropy loss. According to the results, the proposed approach performs relatively well on the task as our model ranks first and second, in official in-domain and out-domain evaluations, respectively. However, the overall low performances (0.37 F1-score) suggest that there is still much room for improvement.

Subject headings

HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)

HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)

HUMANIORA  -- Språk och litteratur -- Litteraturvetenskap (hsv//swe)

HUMANITIES  -- Languages and Literature -- General Literary Studies (hsv//eng)

Keyword

literary computing

narratology

annotation

Computational Linguistics

datorlingvistik

Computational Linguistics

datorlingvistik

Publication and Content Type

ref (subject category)

kon (subject category)