Papers with absent keyphrase prediction

2 papers
Heterogeneous Graph Neural Networks for Keyphrase Generation (2021.emnlp-main)

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Challenge: Existing approaches for keyphrase generation generate uncontrollable and inaccurate absent keyphrases.
Approach: They propose a graph-based method that captures explicit knowledge from related references.
Outcome: The proposed model improves on baseline keyphrase generation models on multiple benchmarks.
One2Set + Large Language Model: Best Partners for Keyphrase Generation (2024.emnlp-main)

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Challenge: Existing selection methods make redundant selections, causing poor recall and accuracy.
Approach: They propose a framework to generate keyphrases from a one2set-based model and an LLM as selector.
Outcome: The proposed framework surpasses state-of-the-art models in absent keyphrase prediction.

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