Applying and Optimizing NLP Model with CARU

Author:

Chan Ka-Hou1,Im Sio-Kei1,Pau Giovanni2

Affiliation:

1. Macao Polytechnic University,Faculty of Applied Science,Macau,China

2. University of Bologna,Department of Computer Science and Engineering (DISI),Bologna,Italy

Publisher

IEEE

Reference30 articles.

1. Word2Vec

2. Recurrent neural network based language model

3. A Multilayer CARU Framework to Obtain Probability Distribution for Paragraph-Based Sentiment Analysis

4. Prediction of LSTM-RNN full context states as a sub task for n -gram feedforward language models;irie;2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),0

5. Whole Sentence Neural Language Models

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1. Exploring IoT and Deep Learning for Smart City Technology;2023 IEEE 6th International Conference on Computer and Communication Engineering Technology (CCET);2023-08-04

2. Sentiment Analysis Using Bi-CARU with Recurrent CNN Models;2023 8th International Conference on Smart and Sustainable Technologies (SpliTech);2023-06-20

3. Fusion of Multi-Modal Features to Enhance Dense Video Caption;Sensors;2023-06-14

4. An Investigation of CNN-CARU for Image Captioning;4th International Conference on Electronics and Signal Processing;2023-06-10

5. Multilayer CARU Model for Text Summarization;2023 IEEE International Conference on Big Data and Smart Computing (BigComp);2023-02

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