Mimic and Conquer: Heterogeneous Tree Structure Distillation for
Syntactic NLP

Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP

16 September 2020

Hao Fei

Papers citing "Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP"

6 / 6 papers shown

Title
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling Yu Zhao Hao Fei Yixin Cao Bobo Li Meishan Zhang Jianguo Wei M. Zhang Tat-Seng Chua 17 13 0 09 Aug 2023
ECQED: Emotion-Cause Quadruple Extraction in Dialogs Limin Zheng Donghong Ji Fei Li Hao Fei Shengqiong Wu Jingye Li Bobo Li Chong Teng 19 4 0 06 Jun 2023
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction Hao Fei Meishan Zhang M. Zhang Tat-Seng Chua 24 5 0 20 May 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training Hao Fei Tat-Seng Chua Chenliang Li Donghong Ji Meishan Zhang Yafeng Ren 19 39 0 19 Apr 2023
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU? Jakub Ho'scilowicz Marcin Sowanski Piotr Czubowski Artur Janicki 23 2 0 27 Jan 2023
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 882 0 03 May 2018