Add to ORKGDeep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question Answering (QA). Unfortunately, the requirements of neural QA systems are very strict in the size of the involved training datasets. Recent works show that the application of Automatic Machine Translation is an enabling factor for the acquisition of large scale QA training sets in resource poor languages such as Italian. In this work, we show how these resources can be used to train a state-of-the-art deep architecture, based on effective techniques recently proposed within the Bidirectional Encoder Representations from Transformers (BERT) paradigm
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
Since the rise of neural networks in science and industry much progress has been made in the field o...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
Since the rise of neural networks in science and industry much progress has been made in the field o...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question A...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
Since the rise of neural networks in science and industry much progress has been made in the field o...