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
An Empirical Study on Neural Keyphrase Generation
memray/OpenNMT-kpg-release
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NAACL 2021
Recent years have seen a flourishing of neural keyphrase generation (KPG) works, including the release of several large-scale datasets and a host of new models to tackle them.
Persian Keyphrase Generation Using Sequence-to-Sequence Models
Keyphrases are a very short summary of an input text and provide the main subjects discussed in the text.
Diverse Keyphrase Generation with Neural Unlikelihood Training
BorealisAI/keyphrase-generation
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COLING 2020
Further, to encourage better model planning during the decoding process, we incorporate K-step ahead token prediction objective that computes both MLE and UL losses on future tokens as well.
Unsupervised Deep Keyphrase Generation
Jayshen0/Unsupervised-Deep-Keyphrase-Generation
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Keyphrase generation aims to summarize long documents with a collection of salient phrases.
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
xuyige/fgrl4kg
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Findings (EMNLP) 2021
In response to this problem, we propose a new fine-grained evaluation metric to improve the RL framework, which considers different granularities: token-level $F_1$ score, edit distance, duplication, and prediction quantities.
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation
jd-ai-research-nlp/sgg
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NAACL 2021
Keyphrases, 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 contiguous subsequence but is highly semantically related to the source.
One2Set: Generating Diverse Keyphrases as a Set
jiacheng-ye/kg_one2set
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ACL 2021
In this work, we propose a new training paradigm One2Set without predefining an order to concatenate the keyphrases.
Keyphrase Generation for Scientific Document Retrieval
Sequence-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.
Heterogeneous Graph Neural Networks for Keyphrase Generation
jiacheng-ye/kg_gater
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EMNLP 2021
The 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.
KPDrop: Improving Absent Keyphrase Generation
jrc1995/kpdrop
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Keyphrase generation is the task of generating phrases (keyphrases) that summarize the main topics of a given document.
