Search Results for author: Pengda Qin

Found 8 papers, 3 papers with code

TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data

no code implementations3 Jun 2021 Pengda Qin, Yuhong Li, Kefeng Deng, Qiang Wu

Among ubiquitous multimodal data in the real world, text is the modality generated by human, while image reflects the physical world honestly.

Contrastive Learning Image Classification +1

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization

no code implementations IJCNLP 2019 Siyao Li, Deren Lei, Pengda Qin, William Yang Wang

Deep reinforcement learning (RL) has been a commonly-used strategy for the abstractive summarization task to address both the exposure bias and non-differentiable task issues.

Abstractive Text Summarization reinforcement-learning

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

no code implementations ACL 2018 Pengda Qin, Weiran Xu, William Yang Wang

Distant supervision can effectively label data for relation extraction, but suffers from the noise labeling problem.

Relation Classification

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

2 code implementations ACL 2018 Pengda Qin, Weiran Xu, William Yang Wang

The experimental results show that the proposed strategy significantly improves the performance of distant supervision comparing to state-of-the-art systems.

reinforcement-learning Relation Extraction

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