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Found 6 papers, 1 papers with code
A Deep Metric Learning Method for Biomedical Passage Retrieval
One way to address this problem is to look at it as a metric learning problem, where we want to induce a metric between questions and passages that assign smaller distances to more relevant passages.
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text
An author{'}s way of presenting a story through his/her writing style has a great impact on whether the story will be liked by readers or not.
MindLab Neural Network Approach at BioASQ 6B
Biomedical Question Answering is concerned with the development of methods and systems that automatically find answers to natural language posed questions.
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Likability prediction of books has many uses.
Early Text Classification Using Multi-Resolution Concept Representations
The intensive use of e-communications in everyday life has given rise to new threats and risks.
A Multi-task Approach to Predict Likability of Books
We investigate the value of feature engineering and neural network models for predicting successful writing.
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