Genealogical Relationship Extraction from Unstructured Text Using Fine-Tuned Transformer Models-Reference-Cited by-同舟云学术

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Genealogical Relationship Extraction from Unstructured Text Using Fine-Tuned Transformer Models

Published:2023-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Conference on Semantic Computing (ICSC)
language:
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Author:

Parrolivelli Carloangello¹,Stanchev Lubomir¹

Affiliation:

1. California Polytechnic State University,Computer Science and Software Engineering Department,San Luis Obispo,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066535/10066543/10066823.pdf?arnumber=10066823

Reference24 articles.

1. Attention is all you need;vaswani,2017

2. https://github.com/angelloparr/luke-genealogical-thesis;parrolivelli;Github Repository,2022

3. Deep Contextualized Word Representations

4. Extraction of family relations between entities;santos;Inforum Simposio de Informatica,2010

5. RoBERTa: A robustly optimized BERT pretraining approach;liu,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge Graphs for Textbooks: Extraction and Completion Techniques;2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE);2023-09-25

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