Neural DrugNet
| Autor: | Shivansh Mundra, Nishant Nikhil |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language Computer science business.industry Character (computing) computer.software_genre Task (project management) Social media mining Language model Artificial intelligence business computer Classifier (UML) Computation and Language (cs.CL) Natural language processing |
| DOI: | 10.48550/arxiv.1809.01500 |
| Popis: | In this paper, we describe the system submitted for the shared task on Social Media Mining for Health Applications by the team Light. Previous works demonstrate that LSTMs have achieved remarkable performance in natural language processing tasks. We deploy an ensemble of two LSTM models. The first one is a pretrained language model appended with a classifier and takes words as input, while the second one is a LSTM model with an attention unit over it which takes character tri-gram as input. We call the ensemble of these two models: Neural-DrugNet. Our system ranks 2nd in the second shared task: Automatic classification of posts describing medication intake. |
| Databáze: | OpenAIRE |
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