Identification of Concrete Poetry within a Modern-Poetry Corpus using Neural Networks
- This work aims to discern the poetics of concrete poetry by using a corpus-based classification focusing on the two most important techniques used within concrete poetry: semantic decomposition and syntactic permutation. We demonstrate how to identify concrete poetry in modern and postmodern free verse. A class contrasting to concrete poetry is defined on the basis of poems with complete and correct sentences. We used the data from lyrikline, which contain both the written as well as the spoken form of poems as read by the original author. We explored two approaches for the identification of concrete poetry. The first is based on the definition of concrete poetry in literary theory by the extraction of various types of features derived from a parser, such as verb, noun, comma, sentence ending, conjunction, and asemantic material. The second is a neural network-based approach, which is theoretically less informed by human insight, as it does not have access to features established by scholars. This approach used the following inputs: textual information and the spoken recitation of poetic lines as well as information about pauses between lines. The results based on the neural network are more accurate than the feature-based approach. The best results, calculated by the weighted F-measure, for the classification of concrete poetry vis-à-vis the contrasting class is 0.96
Author: | Hussein Hussein, Burkhard Meyer-SickendiekORCiD, Timo BaumannORCiDGND |
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URL / DOI: | https://versologie.cz/conference2019/proceedings/hussein-meyer-sickendiek-baumann.pdf |
Parent Title (English): | Proceedings of the Quantitative Approaches to Versification Conference |
Place of publication: | Prague, Czech Republic |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2019 |
Release Date: | 2022/04/09 |
First Page: | 95 |
Last Page: | 104 |
Institutes: | Fakultät Informatik und Mathematik |
Publication: | Externe Publikationen |
research focus: | Information und Kommunikation |