Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914855898841088 |
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| author | Amalvy, Arthur Labatut, Vincent Dufour, Richard |
| author_facet | Amalvy, Arthur Labatut, Vincent Dufour, Richard |
| contents | Renard (Relationships Extraction from NARrative Documents) is a Python library that allows users to define custom natural language processing (NLP) pipelines to extract character networks from narrative texts. Contrary to the few existing tools, Renard can extract dynamic networks, as well as the more common static networks. Renard pipelines are modular: users can choose the implementation of each NLP subtask needed to extract a character network. This allows users to specialize pipelines to particular types of texts and to study the impact of each subtask on the extracted network. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_02284 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts Amalvy, Arthur Labatut, Vincent Dufour, Richard Computation and Language Renard (Relationships Extraction from NARrative Documents) is a Python library that allows users to define custom natural language processing (NLP) pipelines to extract character networks from narrative texts. Contrary to the few existing tools, Renard can extract dynamic networks, as well as the more common static networks. Renard pipelines are modular: users can choose the implementation of each NLP subtask needed to extract a character network. This allows users to specialize pipelines to particular types of texts and to study the impact of each subtask on the extracted network. |
| title | Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2407.02284 |