Attention, please! A survey of neural attention models in deep learning
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
[HTML][HTML] A methodological approach to enable natural language interaction in an Intelligent Tutoring System
In this paper, we present and evaluate the recent incorporation of a conversational agent
into an Intelligent Tutoring System (ITS), using the open-source machine learning framework …
into an Intelligent Tutoring System (ITS), using the open-source machine learning framework …
Convolutional residual‐attention: A deep learning approach for precipitation nowcasting
Q Yan, F Ji, K Miao, Q Wu, Y **a… - Advances in Meteorology, 2020 - Wiley Online Library
Short‐term precipitation forecast in local areas based on radar reflectance images has
become a hot spot issue in the meteorological field, which has an important impact on daily …
become a hot spot issue in the meteorological field, which has an important impact on daily …
I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
Self-attention has emerged as a vital component of state-of-the-art sequence-to-sequence
models for natural language processing in recent years, brought to the forefront by pre …
models for natural language processing in recent years, brought to the forefront by pre …
Study on a prediction model of superhighway fuel consumption based on the test of easy car platform
YM He, J Kang, YL Pei, B Ran, YT Song - Sustainability, 2020 - mdpi.com
To explore the relationship between fuel consumption and speed for a vehicle on a
superhighway with a design speed exceeding 120 km/h, the fuel consumption data provided …
superhighway with a design speed exceeding 120 km/h, the fuel consumption data provided …
A corpus augmentation approach for improving the performance of dialogue systems in the Greek language
One of the main challenges in dialogue systems is their efficiency when trained with small
corpora. Although this problem has been solved for dialogue systems in the English …
corpora. Although this problem has been solved for dialogue systems in the English …
[PDF][PDF] Leveraging Speaker Profile and Knowledge Enrichment for End-to-End Advising Response Ranking
Retrieval-based dialogue modeling has drawn a lot of attention due to its practical usage.
Also, different speakers may have diverse preferences and play different roles, so modeling …
Also, different speakers may have diverse preferences and play different roles, so modeling …
Injecting Hierarchy with U-Net Transformers
The Transformer architecture has become increasingly popular over the past two years,
owing to its impressive performance on a number of natural language processing (NLP) …
owing to its impressive performance on a number of natural language processing (NLP) …
[PDF][PDF] Neural Methods for Sentiment Analysis and Text Summarization
TH Le - 2020 - docnum.univ-lorraine.fr
Nowadays, we are living in the age of intelligent machines. It's hard to ignore because they
appear everywhere, either in the form of a physical robots, virtual assistants or autonomous …
appear everywhere, either in the form of a physical robots, virtual assistants or autonomous …