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Learning language variations in news corpora through differential embeddings
CarlosSelmo, JulianF.Martinez, MarianoG.Beiró....
Published date-11/13/2020
WordEmbeddings
There is an increasing interest in the NLP community in capturing variations in the usage of language, either through time (i.e., semantic drift), across regions (as dialects or variants) or …
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
LijingWang, DipanjanGhosh, MariaTeresaGonzalezDiaz....
Published date-11/13/2020
Deep learning classifiers are assisting humans in making decisions and hence the user's trust in these models is of paramount importance. Trust is often a function of constant behavior. From …
Enabling the Sense of Self in a Dual-Arm Robot
AliAlQallaf, GerardoAragon-Camarasa....
Published date-11/13/2020
While humans are aware of their body and capabilities, robots are not. To address this, we present in this paper a neural network architecture that enables a dual-arm robot to …
FastTrack: an open-source software for tracking varying numbers of deformable objects
BenjaminGallois, RaphaëlCandelier....
Published date-11/13/2020
Analyzing the dynamical properties of mobile objects requires to extract trajectories from recordings, which is often done by tracking movies. We compiled a database of two-dimensional movies for very different …
Automatic segmentation with detection of local segmentation failures in cardiac MRI
JörgSander, BobD.deVos, IvanaIšgum....
Published date-11/13/2020
Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases. To increase robustness and performance of segmentation methods …
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning
MortezaRohanian, JulianHough....
Published date-11/13/2020
LanguageModelling, Multi-TaskLearning, Part-Of-SpeechTagging
We present a multi-task learning framework to enable the training of one universal incremental dialogue processing model with four tasks of disfluency detection, language modelling, part-of-speech tagging, and utterance segmentation …