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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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  ---
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  license: mit
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  configs:
@@ -54,19 +26,38 @@ dataset_info:
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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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-
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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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  ---
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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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+
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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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  # Data Statement for WikiBio corpus
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  Data set name: WikiBio