Character-level recurrent neural networks in practice: comparing training and sampling schemes
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3322-z
Abstract: Recurrent neural networks are nowadays successfully used in an abundance of applications, going from text, speech and image processing to recommender systems. Backpropagation through time is the algorithm that is commonly used to train these… read more here.
Keywords: neural networks; level recurrent; recurrent neural; sampling schemes ... See more keywords
CHARM: An Improved Method for Chinese Precoding and Character-Level Embedding
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DOI: 10.1109/access.2021.3112190
Abstract: The numerical transformation of text is a key step in natural language processing tasks, among which the word embedding model is the most representative. However, the word embedding model is insufficient in representing unregistered and… read more here.
Keywords: charm; level; character level; model ... See more keywords
Understanding Subtitles by Character-Level Sequence-to-Sequence Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2601521
Abstract: This paper presents a character-level seque-nce-to-sequence learning method, RNNembed. This method allows the system to read raw characters, instead of words generated by preprocessing steps, into a pure single neural network model under an end-to-end… read more here.
Keywords: understanding subtitles; level sequence; sequence learning; character level ... See more keywords
Position-Aware Deep Character-Level CTR Prediction for Sponsored Search
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2941881
Abstract: Predicting the click-through rate of an advertisement is a critical component of online advertising platforms. In sponsored search, the click-through rate estimates the probability that a displayed advertisement is clicked by a user after she… read more here.
Keywords: click rate; sponsored search; level; character level ... See more keywords
On the tip of the pen: Effects of character-level lexical variables and handwriter-level individual differences on orthographic retrieval difficulties in Chinese handwriting
Sign Up to like & getrecommendations! Published in 2021 at "Quarterly Journal of Experimental Psychology"
DOI: 10.1177/17470218211004385
Abstract: In the past few decades, Chinese speakers have suffered from difficulties in handwriting, which include tip-of-the-pen (TOP) states (knowing a character but failing to fully handwrite it) and character amnesia in general (a general inability… read more here.
Keywords: tip pen; handwriter level; character amnesia; character ... See more keywords
Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Data and Information Science"
DOI: 10.2478/jdis-2021-0013
Abstract: Abstract Purpose Automatic keyphrase extraction (AKE) is an important task for grasping the main points of the text. In this paper, we aim to combine the benefits of sequence labeling formulation and pretrained language model… read more here.
Keywords: sequence labeling; keyphrase extraction; automatic keyphrase; character level ... See more keywords