Papers with supervised ones

2 papers
Keyphrase Generation: A Text Summarization Struggle (N19-1)

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Challenge: Existing methods for keyphrase generation are unable to produce valuable terms that do not appear in the text.
Approach: They propose to consider the keyphrase string as an abstractive summary of the title and the abstract.
Outcome: The proposed method can generate better keyphrases than the existing methods or the unsupervised ones.
Bridging the Gap Between BabelNet and HowNet: Unsupervised Sense Alignment and Sememe Prediction (2023.eacl-main)

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Challenge: Sememes are the minimum semantic units of natural languages, but their use is limited by a lack of available sememe knowledge bases.
Approach: They propose to use sense alignment to connect BabelNet with HowNet by relaxing constraints until a complete alignment is achieved.
Outcome: The proposed method improves on previous supervised methods by 12% . it is based on interpretable propagation of sememe information between lexical resources .

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