PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages (D18-1)
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| Challenge: | Using a hierarchical model, we aim to extract all the publication strings from a researcher's homepage. |
| Approach: | They propose an end-to-end hierarchical model named PubSE based on Bi-LSTM-CRF and an alternating training method for training the model. |
| Outcome: | The proposed model outperforms the state-of-the-art models by 11.8% in F1-score on real data. |
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