Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation (2024.lrec-main)
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| Challenge: | Existing methods for unsupervised keyphrase generation use phrases extracted from document title instead of phrase bank. |
| Approach: | They propose a method for generating pseudo labels from a document title . they use phrases mined from the document title to generate absent keyphrases . |
| Outcome: | The proposed method outperforms existing methods on human-annotated datasets even with fewer labeled data. |
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| Challenge: | Current approaches to keyphrase generation use only the title and abstract of the articles. |
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