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

1 August 2021

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

4 / 4 papers shown

Title
Learn Your Tokens: Word-Pooled Tokenization for Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Avijit Thawani Saurabh Ghanekar Xiaoyuan Zhu Jay Pujara 198 9 0 17 Oct 2023
Language Modelling with PixelsInternational Conference on Learning Representations (ICLR), 2022 Phillip Rust Jonas F. Lotz Emanuele Bugliarello Elizabeth Salesky Miryam de Lhoneux Desmond Elliott VLM 227 55 0 14 Jul 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding Abbas Ghaddar Yimeng Wu Sunyam Bagga Ahmad Rashid Khalil Bibi ... Zhefeng Wang Baoxing Huai Xin Jiang Qun Liu Philippe Langlais 113 8 0 21 May 2022
Integrating Approaches to Word Representation Yuval Pinter NAI 144 5 0 10 Sep 2021