79 citations · 164 across the 10 of their papers we have counts for
10 papers
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings
Zimin Wan, Chenchen Xu, Hanna Suominen
The Bidirectional Encoder Representations from Transformers (BERT) model has achieved the state-of-the-art performance for many natural language processing (NLP) tasks. Yet, limite…
Analyzing the Granularity and Cost of Annotation in Clinical Sequence Labeling
Haozhan Sun, Chenchen Xu, Hanna Suominen
Well-annotated datasets, as shown in recent top studies, are becoming more important for researchers than ever before in supervised machine learning (ML). However, the dataset anno…
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li, Chenchen Xu, Kaihao Zhang +5
Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions. In order to utilize neighboring sharp patches, typical methods rely mainly…
Learning to Continually Learn Rapidly from Few and Noisy Data
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier +3
Neural networks suffer from catastrophic forgetting and are unable to sequentially learn new tasks without guaranteed stationarity in data distribution. Continual learning could be…
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
Dongxu Li, Chenchen Xu, Xin Yu +4
Sign language translation (SLT) aims to interpret sign video sequences into text-based natural language sentences. Sign videos consist of continuous sequences of sign gestures with…
A Token-wise CNN-based Method for Sentence Compression
Weiwei Hou, Hanna Suominen, Piotr Koniusz +2
Sentence compression is a Natural Language Processing (NLP) task aimed at shortening original sentences and preserving their key information. Its applications can benefit many fiel…
MTL2L: A Context Aware Neural Optimiser
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier +3
Learning to learn (L2L) trains a meta-learner to assist the learning of a task-specific base learner. Previously, it was shown that a meta-learner could learn the direct rules to u…
Transfer Learning for Hate Speech Detection in Social Media
Lanqin Yuan, Tianyu Wang, Gabriela Ferraro +2
Today, the internet is an integral part of our daily lives, enabling people to be more connected than ever before. However, this greater connectivity and access to information incr…
Private Text Classification
Leif W. Hanlen, Richard Nock, Hanna Suominen +1
Confidential text corpora exist in many forms, but do not allow arbitrary sharing. We explore how to use such private corpora using privacy preserving text analytics. We construct…
Prerequisites for International Exchanges of Health Information: Comparison of Australian, Austrian, Finnish, Swiss, and US Privacy Policies
Hanna Suominen, Henning Müller, Lucila Ohno-Machado +3
Capabilities to exchange health information are critical to accelerate discovery and its diffusion to healthcare practice. However, the same ethical and legal policies that protect…