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@@ -7,6 +7,7 @@ language:
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  - en
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  tags:
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  - keyphrase-generation
 
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  - paleontology
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  - astrophysics
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  - natural-language-processing
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  path: "astro/test.jsonl"
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  ---
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- This dataset contains the data files generated by silk, a method that leverages citation contexts to create synthetic samples of documents paired with silver-standard keyphrases for adapting keyphrase generation models to new domains.
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- We applied silk on three domains --namely, Natural Language Processing (nlp), Astrophysics (astro) and Paleontology (paleo)--, thereby creating new adaptation data for each domain.
 
 
 
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  This dataset also includes three human-labeled test sets to assess the performance of keyphrase generation across these domains.
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  - en
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  tags:
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  - keyphrase-generation
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+ - domain-adaptation
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  - paleontology
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  - astrophysics
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  - natural-language-processing
 
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  path: "astro/test.jsonl"
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  ---
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+ # `silk` synthetic training samples and human-labeled test sets for domain adaptation in keyphrase generation
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+
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+ This dataset contains the synthetic samples generated by 🧵 `silk`, a method that leverages citation contexts to create synthetic samples of documents paired with silver-standard keyphrases for adapting keyphrase generation models to new domains.
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+ We applied `silk` on three domains: Natural Language Processing (nlp), Astrophysics (astro) and Paleontology (paleo).
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+
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  This dataset also includes three human-labeled test sets to assess the performance of keyphrase generation across these domains.
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+ ## Citation
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+ If you use this dataset, please cite the following paper:
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+ ```
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+ Florian Boudin and Akiko Aizawa.
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+ Unsupervised Domain Adaptation for Keyphrase Generation using Citation Context,
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+ Proceedings of EMNLP 2024 (Findings).
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+ ```
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+