Keyphrase Generation
36 papers with code • 0 benchmarks • 0 datasets
Keyphrase Generation aims at generating keyphrases (or phrases) that best summarize a given text article or document.
Benchmarks
These leaderboards are used to track progress in Keyphrase Generation
Libraries
Use these libraries to find Keyphrase Generation models and implementationsMost implemented papers
Keyphrase Generation Beyond the Boundaries of Title and Abstract
Unlike prior large-scale datasets, FullTextKP includes the full text of the articles along with the title and abstract.
Learning Rich Representation of Keyphrases from Text
bloomberg/kbir_keybart
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Findings (NAACL) 2022
In the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (upto 8. 16 points in F1) over SOTA, when the LM pre-trained using KBIR is fine-tuned for the task of keyphrase extraction.
Representation Learning for Resource-Constrained Keyphrase Generation
State-of-the-art keyphrase generation methods generally depend on large annotated datasets, limiting their performance in domains with limited annotated data.
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases given a piece of long text.
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
memray/OpenNMT-kpg-release
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Finally, we fine-tune the model with limited data with true labels to fully adapt it to the target domain.
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation
Keyphrase generation aims to automatically generate short phrases summarizing an input document.
A Large-Scale Dataset for Biomedical Keyphrase Generation
Keyphrase generation is the task consisting in generating a set of words or phrases that highlight the main topics of a document.
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study
uclanlp/deepkpg
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However, there lacks a systematic study of how the two types of approaches compare and how different design choices can affect the performance of PLM-based models.
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study
Based on our findings, we conclude that ChatGPT has great potential for keyphrase generation.
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
uclanlp/kpeval
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Despite the significant advancements in keyphrase extraction and keyphrase generation methods, the predominant approach for evaluation mainly relies on exact matching with human references.
