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CharBERT: Character-aware Pre-trained Language Model
WentaoMa, YimingCui, ChengleiSi....
Published date-11/03/2020
LanguageModelling, QuestionAnswering, RepresentationLearning, TextClassification
Most pre-trained language models (PLMs) construct word representations at subword level with Byte-Pair Encoding (BPE) or its variations, by which OOV (out-of-vocab) words are almost avoidable. However, those methods split …
A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News
CorbènPoot, AndreasvanCranenburgh....
Published date-11/03/2020
CoreferenceResolution
We evaluate a rule-based (Lee et al., 2013) and neural (Lee et al., 2018) coreference system on Dutch datasets of two domains: literary novels and news/Wikipedia text. The results provide …
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model
Sophie-CamilleHogue, FloraChen, GenevièveBrassard....
Published date-11/03/2020
The objective of this work was to assess the clinical performance of an unsupervised machine learning model aimed at identifying unusual medication orders and pharmacological profiles. We conducted a prospective …
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
RafaelBerral-Soler, FranciscoJ.Madrid-Cuevas, RafaelMuñoz-Salinas....
Published date-11/03/2020
HeadPoseEstimation, PoseEstimation
Human head pose estimation in images has applications in many fields such as human-computer interaction or video surveillance tasks. In this work, we address this problem, defined here as the …
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
DaniloPerico, PauloE.Santos, ReinaldoBianchi....
Published date-11/03/2020
Navigation is an essential ability for mobile agents to be completely autonomous and able to perform complex actions. However, the problem of navigation for agents with limited (or no) perception …
Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients
MishaP.T.Kaandorp, SebastianoBarbieri, RemyKlaassen....
Published date-11/03/2020
${\bf Purpose}$: Earlier work showed that IVIM-NET$_{orig}$, an unsupervised physics-informed deep neural network, was faster and more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to DWI. This study …