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Combining Event Semantics and Degree Semantics for Natural Language Inference
IzumiHaruta, KojiMineshima, DaisukeBekki....
Published date-11/02/2020
NaturalLanguageInference
In formal semantics, there are two well-developed semantic frameworks: event semantics, which treats verbs and adverbial modifiers using the notion of event, and degree semantics, which analyzes adjectives and comparatives …
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
RuizheLi, XiaoLi, GuanyiChen....
Published date-11/02/2020
LanguageModelling, TextGeneration
The Variational Autoencoder (VAE) is a popular and powerful model applied to text modelling to generate diverse sentences. However, an issue known as posterior collapse (or KL loss vanishing) happens …
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JianGuo, HeHe, TongHe....
Published date-07/09/2020
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and …
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
ForrestN.Iandola, AlbertE.Shaw, RaviKrishna....
Published date-06/19/2020
LINGUISTICACCEPTABILITY, NATURALLANGUAGEINFERENCE, SENTIMENTANALYSIS, TRANSFERLEARNING
Humans read and write hundreds of billions of messages every day. Further, due to the availability of large datasets, large computing systems, and better neural network models, natural language processing …
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
EdgarRiba, DmytroMishkin, DanielPonsa....
Published date-10/05/2019
edgedetection
This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems. The package uses …
UnrealCV: Connecting Computer Vision to Unreal Engine
WeichaoQiu, AlanYuille....
Published date-09/05/2019
physicalsimulations
Computer graphics can not only generate synthetic images and ground truth but it also offers the possibility of constructing virtual worlds in which: (i) an agent can perceive, navigate, and …