Generative adversarial networks (GANs) are an exciting recent innovation in machine learning. GANs are generative models: they create new data instances that resemble your training data. I have tried to collect and curate some publications form Arxiv that related to the generative adversarial networks, and the results were listed here. Please enjoy it!
Recurrent neural networks (RNNs) are a class of neural networks that are naturally suited to processing time-series data and other sequential data. I have tried to collect and curate some publications form Arxiv that related to the recurrent neural networks, and the results were listed here. Please enjoy it!
Aspect-based sentiment analysis deals with capturing sentiments expressed towards each aspect of entities. I have tried to collect and curate some publications form Arxiv that related to the aspect-based sentiment analysis, and the results were listed here. Please enjoy it!
Machine Translation ( MT) is the task of automatically converting one natural language to another, preserving the meaning of the input text, and producing fluent text in the output language. I have tried to collect and curate some publications form Arxiv that related to the machine translation for low resource language, and the results were listed here. Please enjoy it!
The main objective of extractive summarization can be concisely formulated as extracting text inputs containing information on the most important concepts described in the input text or texts. I have tried to collect and curate some publications form Arxiv that related to the extractive summarization, and the results were listed here. Please enjoy it!
