arXiv:2207.01888
Keyword Extraction in Scientific Documents
원문 초록
The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as knowledge graph building, text mining, and discipline classification. In this workshop, we provide a better understanding of keyword and keyphrase extraction from the abstract of scientific publications.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
ELSKE: Efficient Large-Scale Keyphrase Extraction
Complex Network based Supervised Keyword Extractor
Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation
Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information
PSCon: Product Search Through Conversations
토론
이 논문과 연결된 포럼 글이 아직 없습니다.