Keyphrase Generation
36 papers with code • 2 benchmarks • 1 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
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Libraries
Use these libraries to find Keyphrase Generation models and implementations
Inspec
Most implemented papers
Deep Keyphrase Generation
memray/OpenNMT-kpg-release
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ACL 2017
Keyphrase provides highly-condensed information that can be effectively used for understanding, organizing and retrieving text content.
Topic-Aware Neural Keyphrase Generation for Social Media Language
yuewang-cuhk/TAKG
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ACL 2019
Further discussions show that our model learns meaningful topics, which interprets its superiority in social media keyphrase generation.
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
memray/OpenNMT-kpg-release
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ACL 2020
With both previous and new evaluation metrics, our model outperforms strong baselines on all datasets.
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
Chen-Wang-CUHK/KG-KE-KR-M
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NAACL 2019
For further exploiting the power of extraction and retrieval, we propose a neural-based merging module to combine and re-rank the predicted keyphrases from the enhanced generative model, the extractive model, and the retrieved keyphrases.
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
kenchan0226/keyphrase-generation-rl
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ACL 2019
To address this problem, we propose a reinforcement learning (RL) approach for keyphrase generation, with an adaptive reward function that encourages a model to generate both sufficient and accurate keyphrases.
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
memray/OpenNMT-kpg-release
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Recently, concatenating multiple keyphrases as a target sequence has been proposed as a new learning paradigm for keyphrase generation.
Keyphrase Generation for Scientific Articles using GANs
In this paper, we present a keyphrase generation approach using conditional Generative Adversarial Networks (GAN).
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents
Keyphrase generation is the task of predicting a set of lexical units that conveys the main content of a source text.
Exclusive Hierarchical Decoding for Deep Keyphrase Generation
Chen-Wang-CUHK/ExHiRD-DKG
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ACL 2020
A new setting is recently introduced into this problem, in which, given a document, the model needs to predict a set of keyphrases and simultaneously determine the appropriate number of keyphrases to produce.
Keyphrase Generation with Cross-Document Attention
svaigba/cdkgen
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Keyphrase generation aims to produce a set of phrases summarizing the essentials of a given document.
