Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation (P19-1)
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| Challenge: | Obtaining good quality labeled data can be difficult and expensive for abstractive summarization models . authors propose the use of artificial titles for unlabeled target documents . |
| Approach: | They propose to use artificial titles and sequential training to capture grammatical style of unlabeled target domains to adapt to/from news articles and Stack Exchange posts. |
| Outcome: | The proposed techniques can boost performance for unsupervised adaptation and fine-tuning with limited target data. |
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