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# WikiBio @ ACL 2023
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This is the repository of the WikiBio corpus, which is described in the following paper:
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> Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
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Please use this reference to cite our work
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> @inproceedings{stranisci-etal-2023-wikibio,\
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> title = "{W}iki{B}io: a Semantic Resource for the Intersectional Analysis of Biographical Events",\
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> author = "Stranisci, Marco Antonio and
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> Damiano, Rossana and
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> Mensa, Enrico and
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> Patti, Viviana and
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> Radicioni, Daniele and
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> Caselli, Tommaso", \
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> booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", \
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> month = jul, \
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> year = "2023", \
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> address = "Toronto, Canada", \
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> publisher = "Association for Computational Linguistics", \
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> url = "https://aclanthology.org/2023.acl-long.691", \
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> pages = "12370--12384", \
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> abstract = "Biographical event detection is a relevant task that allows for the exploration and comparison of the ways in which people{'}s lives are told and represented. This may
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> support several real-life applications in digital humanities and in works aimed at exploring bias about minoritized groups. Despite that, there are no corpora and models specifically designed
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> for this task. In this paper we fill this gap by presenting a new corpus annotated for biographical event detection. The corpus, which includes 20 Wikipedia biographies, was aligned with 5
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> existing corpora in order to train a model for the biographical event detection task. The model was able to detect all mentions of the target-entity in a biography with an F-score of 0.808
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> and the entity-related events with an F-score of 0.859. Finally, the model was used for performing an analysis of biases about women and non-Western people in Wikipedia biographies.",\
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> }
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---
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license: mit
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configs:
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num_examples: 75088
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download_size: 933978
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dataset_size: 3407095
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license: mit
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task_categories:
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- token-classification
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language:
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- en
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tags:
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- biographies
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- wikipedia
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- event-detection
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pretty_name: wikibio
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# Data Statement for WikiBio corpus
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Data set name: WikiBio
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---
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license: mit
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configs:
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num_examples: 75088
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download_size: 933978
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dataset_size: 3407095
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---
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# WikiBio @ ACL 2023
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+
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This is the repository of the WikiBio corpus, which is described in the following paper:
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+
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> Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
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+
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Please use this reference to cite our work
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> @inproceedings{stranisci-etal-2023-wikibio,\
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> title = "{W}iki{B}io: a Semantic Resource for the Intersectional Analysis of Biographical Events",\
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> author = "Stranisci, Marco Antonio and
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+
> Damiano, Rossana and
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+
> Mensa, Enrico and
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+
> Patti, Viviana and
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> Radicioni, Daniele and
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> Caselli, Tommaso", \
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> booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", \
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> month = jul, \
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> year = "2023", \
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> address = "Toronto, Canada", \
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> publisher = "Association for Computational Linguistics", \
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> url = "https://aclanthology.org/2023.acl-long.691", \
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> pages = "12370--12384", \
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> abstract = "Biographical event detection is a relevant task that allows for the exploration and comparison of the ways in which people{'}s lives are told and represented. This may
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> support several real-life applications in digital humanities and in works aimed at exploring bias about minoritized groups. Despite that, there are no corpora and models specifically designed
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> for this task. In this paper we fill this gap by presenting a new corpus annotated for biographical event detection. The corpus, which includes 20 Wikipedia biographies, was aligned with 5
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> existing corpora in order to train a model for the biographical event detection task. The model was able to detect all mentions of the target-entity in a biography with an F-score of 0.808
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> and the entity-related events with an F-score of 0.859. Finally, the model was used for performing an analysis of biases about women and non-Western people in Wikipedia biographies.",\
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> }
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# Data Statement for WikiBio corpus
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Data set name: WikiBio
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