language:
- zh
tags:
- SequenceClassification
- MetaDis
- 古文
- 文言文
- ancient
- classical
- Biography
- 古代人物传记
license: cc-by-nc-sa-4.0
MetaDis (Classical Chinese Biographical Metadata Disambiguation)
Download template excel sheet from here: https://huggingface.co/cbdb/MetaDis/blob/main/template.xlsx
MetaDis: Classical Chinese Biographical Metadata Disambiguation
Welcome to the repository for MetaDis, a specialized model designed for disambiguating biographical metadata within Classical Chinese texts.
At the core of the problem MetaDis aims to solve is a common issue researchers encounter when studying historical texts - the identification of individuals sharing the same name. Are these instances referring to the same person or two different people? This is the question MetaDis seeks to answer.
MetaDis is based on the AutoModelForNextSentencePrediction architecture, a machine learning model that processes two sequences of data as its input. It then outputs a 0 or 1 - a binary representation indicating whether or not the two sequences refer to the same person. Here, 0 represents 'not the same person', and 1 indicates 'the same person'.
Input Data Formatting
In order to ensure the highest accuracy and performance of the MetaDis model, we've specifically designed an input format based on the data the model was originally trained on. This is crucial as it allows the model to accurately interpret and process your data.
To assist you in this process, we've provided a template Excel (.xlsx) file. We recommend downloading this template and inputting your data directly into it, ensuring your data matches the same format as the model's training data.
To download our Excel data template, please click here.
Authors
Queenie Luo (queenieluo[at]g.harvard.edu)
Hongsu Wang
Peter Bol
CBDB Group
License
Copyright (c) 2023 CBDB
Except where otherwise noted, content on this repository is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.