ResearchTrend.AI
Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers

Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers

Frederick Riemenschneider
Kevin Krahn
ArXivPDFHTML

Papers citing "Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers"

2 / 2 papers shown
Title
A Study on Transformer Configuration and Training Objective
A Study on Transformer Configuration and Training Objective
Fuzhao Xue
Jianghai Chen
Aixin Sun
Xiaozhe Ren
Zangwei Zheng
Xiaoxin He
Yongming Chen
Xin Jiang
Yang You
45
7
0
21 May 2022
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
45
214
0
11 Mar 2021

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.