| Component id | meetups-hm-identification |
|---|---|
| Type | Software |
| Name | MEETUPS - Historical meetups identification |
| Description | MEETUPS Historical meetups identification was developed using Python and Jupyter Notebook. As input it uses the bag of entities obtained from the Entity Recognition and Coreference steps. The output is a corpus that contains the text (typically a sentence or a set of sentences), and the list of entities that account for a meetup. The results are stored in CSV files, grouped by biographies. The corpus is used later to build the MEETUPS KG. |
| Work package | |
| Pilot | |
| Project | polifonia-project |
| Resource | https://github.com/polifonia-project/meetups_pilot/blob/main/06_Coreference.ipynb |
| Release date | 31/08/2023 |
| Release number | v0.1 |
| Release link | https://github.com/polifonia-project/meetups_pilot/releases/tag/v0.2 |
| Doi | 10.5281/zenodo.7875353 |
| Changelog | https://github.com/polifonia-project/meetups_pilot/releases/tag/v0.3 |
| Licence |
|
| Copyright | Copyright (c) 2023 MEETUPS @ The Open University |
| Contributors |
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| Related components |
Informed by:
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MEETUPS - Historical meetups identification
This tool is part of the MEETUPS pilot and processes text from music personalities’ biographies to identify historical meetups. The software component gathers the output produced by the tools of Entity Recognition and Coreference \& meetups annotation steps (see Figure) and runs an automatic evaluation to identify if elements that define a historical meetup are present in a piece of text.
First, the tool examines each piece of text, at sentence level, and evaluates if all the entity types are present. Sentences that comply with this requirement are automatically annotated as a historical meetup. All the sentences that have one or more entity type missing are annotated temporarily as a historical trace. The next step is to search for complementary information within the same paragraph and potentially identify more historical meetups.
The algorithm searches for missing entities in previous sentences within the same paragraph, the aim is to group two or more consecutive sentences that refer to the same event and among them feed all the required entity types of a historical meetup. These sentences should refer to the same type of encounter in order to be considered and not have been previously annotated as a historical meetup.
MEETUPS Historical meetups identification was developed using Python and Jupyter Notebook. As input it uses the bag of entities obtained from the Entity Recognition and Coreference steps. The output is a corpus that contains the text (typically a sentence or a set of sentences), and the list of entities that account for a meetup. The results are stored in CSV files, grouped by biographies. The corpus is used later to build the MEETUPS KG.
Information on installation and setup
- Jupyter Notebook: 06_MeetupsIdentification.ipynb
Details of the data
Code location:
|_ 06_MeetupsIdentification.ipynb
Data input:
|_ indexedSentences/
Historical meetups annotations
Data ouput:
|_ meetupsIdentification/
|_ README_hm-identification.md