Keyphrase Extraction
40 papers with code • 6 benchmarks • 4 datasets
A classic task to extract salient phrases that best summarize a document, which essentially has two stages: candidate generation and keyphrase ranking.
Benchmarks
These leaderboards are used to track progress in Keyphrase Extraction
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KP20k
KPTimes
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.
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
EmbedRank achieves higher F-scores than graph-based state of the art systems on standard datasets and is suitable for real-time processing of large amounts of Web data.
A Review of Keyphrase Extraction
Keyphrase extraction is a textual information processing task concerned with the automatic extraction of representative and characteristic phrases from a document that express all the key aspects of its content.
Open Domain Web Keyphrase Extraction Beyond Language Modeling
This paper studies keyphrase extraction in real-world scenarios where documents are from diverse domains and have variant content quality.
Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments
manikandan-ravikiran/cs6460-proj
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Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs.
Capturing Global Informativeness in Open Domain Keyphrase Extraction
thunlp/BERT-KPE
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Open-domain KeyPhrase Extraction (KPE) aims to extract keyphrases from documents without domain or quality restrictions, e. g., web pages with variant domains and qualities.
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation
morningmoni/ede
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Despite significant progress, state-of-the-art abstractive summarization methods are still prone to hallucinate content inconsistent with the source document.
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Training a conventional neural tagger based on silver labels usually faces the risk of overfitting phrase surface names.
Keyphrase Cloud Generation of Broadcast News
This paper describes an enhanced automatic keyphrase extraction method applied to Broadcast News.
