reading comprehension, and summarization, are typically approached with supervised learning on task-specific datasets. We demonstrate that language models begin to learn these tasks without any explicit supervision when trained on a new dataset of millions of webpages called WebText. When conditioned on...
Inthe fine-tune phase of a DBN we use normal backpropagation with a lower learning rate to do “gentle” backpropagation. We consider the pretraining phase to be a general search of the parameter space in an unsupervised fashion based on raw data. In contrast, the fine-tune phase is about...
Image classification is the task of assigning a class value of perdetermined categories to an image. Image classification generally refers to classifying the image as a whole, as opposed to other computer vision tasks which analyze multiple objects at a time (see object detection below). The stru...
interactive pattern—(aka synchronous versus asynchronous) identifies whether the application is conversational, which waits for a response, or pseudo-conversational, which does not wait, but instead starts a new instance of a task to handle the response if and when it arrives ▪ data communication...
day to conduct search queries that they used to type. Again, this boils down to convenience and simplicity. As long as their searches require fast, simple, and accurate responses, a large number of users will rely on voice searches, as they can save time and make it easier to multitask....
Lexical Simplification is the task of re- ducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expres- sions while preserving the original mean- ing. The development of robust pipelined multilingual architectures able to adapt to new ...
Taskonomy: Disentangling Task Transfer Learning. Amir Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik, and Silvio Savarese. Wondering howAIcan help you? Subscribe Like what you read? Subscribe to our newsletter and get updates on Deep Learning, NLP, Computer Vision & Python ...
In an unpublished study by Roy and Saladin,114,136 subjects performed a reading task before and after wearing prisms.They stated that the prisms did not improve the symptoms. Saladin concluded that only vision therapy will be corrective for asthenopic symptoms. Stavis el al.137 prescribed prism...
HOO 2012: a report on the preposition and determiner error correction shared task Incorrect usage of prepositions and determiners constitute the most common types of errors made by non-native speakers of English. It is not surprising, then, that there has been a significant amount of work directe...
“gentle” backpropagation. We consider the pretraining phase to be a general search of the parameter space in an unsupervised fashion based on raw data. In contrast, the fine-tune phase is about specializing the network and its features for the task we actually care about (such as ...