LeeSureman/Sequence-Labeling-Early-Exit

Stars
27
Rank 905,827 (Top 18 %)
Language
Python
Created over 3 years ago
Updated about 2 years ago

LeeSureman/Sequence-Labeling-Early-Exit

LeeSureman

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit

Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

Batch_Parallel_LatticeLSTM

Chinese NER using Lattice LSTM. Reproduction for ACL 2018 paper.

MoT

code for Preprint paper at Arxiv: MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts

WordSegmentationForChineseNovels

Reproduction of "Word Segmentation for Chinese Novels"

time_translation

translate human readable dates (“25th of June, 2009”) into machine readable dates (“2009-06-25”).

Jupyter Notebook

ICL_Support_Example

The official implementation of the paper "Finding Support Examples for In-Context Learning".

E5-Retrieval-Reproduction

Use contrastive learning to train a large language model (LLM) as a retriever