97 citations · 457 across the 50 of their papers we have counts for
12 papers · 1 filter
Textual Data Augmentation for Patient Outcomes Prediction
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
Deep learning models have demonstrated superior performance in various healthcare applications. However, the major limitation of these deep models is usually the lack of high-quali…
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
Yaqing Wang, Song Wang, Quanming Yao +1
Short text classification is a fundamental task in natural language processing. It is hard due to the lack of context information and labeled data in practice. In this paper, we pr…
Noise Stability Regularization for Improving BERT Fine-tuning
Hang Hua, Xingjian Li, Dejing Dou +2
Fine-tuning pre-trained language models such as BERT has become a common practice dominating leaderboards across various NLP tasks. Despite its recent success and wide adoption, th…
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation
Gong Zhang, Yang Zhou, Sixing Wu +2
Cross-lingual entity alignment, which aims to precisely connect the same entities in different monolingual knowledge bases (KBs) together, often suffers challenges from feature inc…
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Amir Pouran Ben Veyseh, Nasim Nour, Franck Dernoncourt +3
Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment polarity of a sentence toward a specific aspect. Recently, it has been shown that dependency trees can be inte…
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt +2
Targeted opinion word extraction (TOWE) is a sub-task of aspect based sentiment analysis (ABSA) which aims to find the opinion words for a given aspect-term in a sentence. Despite…