Tianxiang Sun | DeepAI

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Featured Co-authors

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∙ 10/13/2021

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

Supersized pre-trained language models have pushed the accuracy of vario...

0 Xiangyang Liu, et al. ∙

∙ 09/26/2021

Paradigm Shift in Natural Language Processing

In the era of deep learning, modeling for most NLP tasks has converged t...

0 Tianxiang Sun, et al. ∙

∙ 09/10/2021

Learning to Teach with Student Feedback

Knowledge distillation (KD) has gained much attention due to its effecti...

0 Yitao Liu, et al. ∙

∙ 05/28/2021

Accelerating BERT Inference for Sequence Labeling via Early-Exit

Both performance and efficiency are crucial factors for sequence labelin...

0 Xiaonan Li, et al. ∙

∙ 05/28/2021

Early Exiting with Ensemble Internal Classifiers

As a simple technique to accelerate inference of large-scale pre-trained...

0 Tianxiang Sun, et al. ∙

∙ 04/11/2021

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarit...

0 Junqi Dai, et al. ∙

∙ 10/01/2020

CoLAKE: Contextualized Language and Knowledge Embedding

With the emerging branch of incorporating factual knowledge into pre-tra...

21 Tianxiang Sun, et al. ∙

∙ 03/18/2020

Pre-trained Models for Natural Language Processing: A Survey

Recently, the emergence of pre-trained models (PTMs) has brought natural...

0 Xipeng Qiu, et al. ∙

∙ 11/12/2019

Learning Sparse Sharing Architectures for Multiple Tasks

Most existing deep multi-task learning models are based on parameter sha...

0 Tianxiang Sun, et al. ∙

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