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Learning to Look Inside: Augmenting Token-Based Encoders with
  Character-Level Information

Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information

1 August 2021
Yuval Pinter
Amanda Stent
Mark Dredze
Jacob Eisenstein
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Papers citing "Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information"

2 / 2 papers shown
Title
Language Modelling with Pixels
Language Modelling with Pixels
Phillip Rust
Jonas F. Lotz
Emanuele Bugliarello
Elizabeth Salesky
Miryam de Lhoneux
Desmond Elliott
VLM
38
46
0
14 Jul 2022
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary
  Representations From Characters
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri
Olivier Ferret
Thomas Lavergne
Hiroshi Noji
Pierre Zweigenbaum
Junichi Tsujii
77
156
0
20 Oct 2020
1