24 citations · 41 across the 4 of their papers we have counts for
4 papers
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang, Yujun Cai, Yuxuan Liang +5
Representing a label distribution as a one-hot vector is a common practice in training node classification models. However, the one-hot representation may not adequately reflect th…
R-BERT-CNN: Drug-target interactions extraction from biomedical literature
Jehad Aldahdooh, Ziaurrehman Tanoli, Jing Tang
In this research, we present our work participation for the DrugProt task of BioCreative VII challenge. Drug-target interactions (DTIs) are critical for drug discovery and repurpos…
Keyphrase Extraction with Span-based Feature Representations
Funan Mu, Zhenting Yu, LiFeng Wang +7
Keyphrases are capable of providing semantic metadata characterizing documents and producing an overview of the content of a document. Since keyphrase extraction is able to facilit…
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee +3
We propose a unified model combining the strength of extractive and abstractive summarization. On the one hand, a simple extractive model can obtain sentence-level attention with h…