Browse State-of-the-Art › Keyphrase Generation
Keyphrase Generation
43 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Keyphrase Generation aims at generating keyphrases (or phrases) that best summarize a given text article or document.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 43 papers with code (81 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Apr 2017 4 repositories listedKeyphrase provides highly-condensed information that can be effectively used for understanding, organizing and retrieving text content.
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10 Jun 2019 2 repositories listedFurther discussions show that our model learns meaningful topics, which interprets its superiority in social media keyphrase generation.
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12 Jun 2025 1 repository listedKeyphrase generation refers to the task of producing a set of words or phrases that summarises the content of a document.
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30 May 2025 1 repository listedTo solve these problems, we propose ERU-KG, an unsupervised keyphrase generation (UKG) model that consists of an informativeness and a phraseness module.
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5 Nov 2024 1 repository listedState-of-the-art models for keyphrase generation require large amounts of training data to achieve good performance.
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4 Oct 2024 1 repository listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)Further analysis shows that: 1) the one2set paradigm owns the advantage of high recall, but suffers from improper assignments of supervision signals during training; 2) LLMs are powerful in keyphrase selection, but…
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20 Sep 2024 1 repository listedAdapting keyphrase generation models to new domains typically involves few-shot fine-tuning with in-domain labeled data.
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28 Jun 2024 1 repository listedLeveraging MetaKP, we design both supervised and unsupervised methods, including a multi-task fine-tuning approach and a self-consistency prompting method with large language models.
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1 Mar 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)Keyphrase generation has primarily been explored within the context of academic research articles, with a particular focus on scientific domains and the English language.
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21 Feb 2024 1 repository listedThis study addresses the application of encoder-only Pre-trained Language Models (PLMs) in keyphrase generation (KPG) amidst the broader availability of domain-tailored encoder-only models compared to encoder-decoder…
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12 Oct 2023 1 repository listedKeyphrase generation (KG) aims to generate a set of summarizing words or phrases given a source document, while keyphrase extraction (KE) aims to identify them from the text.
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10 Oct 2023 1 repository listedDeSel improves greedy search by an average of 4.
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9 Sep 2023 1 repository listed2) the input text and image are often not perfectly matched, and thus the image may introduce noise into the model.
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29 May 2023 1 repository listedVery few works address the problem of keyphrase generation in low-resource settings, but they still rely on a lot of additional unlabeled data for pretraining and on automatic methods for pseudo-annotations.
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27 Mar 2023 1 repository listedDespite the significant advancements in keyphrase extraction and keyphrase generation methods, the predominant approach for evaluation mainly relies on exact matching with human references.
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23 Mar 2023 1 repository listedBased on our findings, we conclude that ChatGPT has great potential for keyphrase generation.
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20 Dec 2022 1 repository listedHowever, 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.
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22 Nov 2022 1 repository listedKeyphrase generation is the task consisting in generating a set of words or phrases that highlight the main topics of a document.
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13 Nov 2022 1 repository listed Syntology ran 0 of 23 samples · 23 unverifiedKeyphrase generation aims to automatically generate short phrases summarizing an input document.
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20 Aug 2022 1 repository listedFinally, we fine-tune the model with limited data with true labels to fully adapt it to the target domain.
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21 May 2022 1 repository listedKeyphrase generation is the task of automatically predicting keyphrases given a piece of long text.
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15 Mar 2022 1 repository listedState-of-the-art keyphrase generation methods generally depend on large annotated datasets, limiting their performance in domains with limited annotated data.
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16 Dec 2021 1 repository listedIn the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (upto 8.
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13 Dec 2021 1 repository listedUnlike prior large-scale datasets, FullTextKP includes the full text of the articles along with the title and abstract.
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2 Dec 2021 1 repository listedKeyphrase generation is the task of generating phrases (keyphrases) that summarize the main topics of a given document.
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1 Nov 2021 1 repository listedThe second phase, encoding structure, builds a graph of keyphrases and the given document to obtain the structure-aware representation of the augmented text.
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10 Sep 2021 1 repository listedThe encoder-decoder framework achieves state-of-the-art results in keyphrase generation (KG) tasks by predicting both present keyphrases that appear in the source document and absent keyphrases that do not.
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28 Jun 2021 1 repository listedSequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval.
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24 May 2021 1 repository listedIn this work, we propose a new training paradigm One2Set without predefining an order to concatenate the keyphrases.
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6 May 2021 1 repository listedKeyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absent keyphrase which does not match any…
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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