Towards Layered Events and Schema Representations in Long Documents

Hans Ole Hatzel, Chris Biemann


Abstract
In this thesis proposal, we explore the application of event extraction to literary texts. Considering the lengths of literary documents modeling events in different granularities may be more adequate to extract meaningful information, as individual elements contribute little to the overall semantics. We adapt the concept of schemas as sequences of events all describing a single process, connected through shared participants extending it to for multiple schemas in a document. Segmentation of event sequences into schemas is approached by modeling event sequences, on such task as the narrative cloze task, the prediction of missing events in sequences. We propose building on sequences of event embeddings to form schema embeddings, thereby summarizing sections of documents using a single representation. This approach will allow for the comparisons of different sections of documents and entire literary works. Literature is a challenging domain based on its variety of genres, yet the representation of literary content has received relatively little attention.
Anthology ID:
2021.naacl-srw.5
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
Month:
June
Year:
2021
Address:
Online
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
32–39
Language:
URL:
https://aclanthology.org/2021.naacl-srw.5
DOI:
10.18653/v1/2021.naacl-srw.5
Bibkey:
Cite (ACL):
Hans Ole Hatzel and Chris Biemann. 2021. Towards Layered Events and Schema Representations in Long Documents. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 32–39, Online. Association for Computational Linguistics.
Cite (Informal):
Towards Layered Events and Schema Representations in Long Documents (Hatzel & Biemann, NAACL 2021)
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https://aclanthology.org/2021.naacl-srw.5.pdf
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