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Applying Occam's Razor to Transformer-Based Dependency Parsing: What
  Works, What Doesn't, and What is Really Necessary

Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary

23 October 2020
Stefan Grünewald
Annemarie Friedrich
Jonas Kuhn
ArXivPDFHTML

Papers citing "Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary"

2 / 2 papers shown
Title
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual
  Natural Language Processing
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
Minh Nguyen
Viet Dac Lai
Amir Pouran Ben Veyseh
Thien Huu Nguyen
44
131
0
09 Jan 2021
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
199
1,652
0
16 Mar 2020
1