Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation

Autor: Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

Publikováno v: IEEE Access, Vol 10, Pp 31397-31419 (2022)

The citation intent extraction and classification has long been studied as it is a good measure of relevancy. Different approaches have classified the citations into different classes; including weak and strong, positive and negative, important and u

Externí odkaz: https://doaj.org/article/43c12b2eb677453a9a07744ea07b0dd9

GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings

Autor: Berrebbi, Dan, Huynh, Nicolas, Balalau, Oana

Publikováno v: 2nd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment
2nd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Apr 2022, Lyon / Virtual, France

International audience; Citations are crucial in scientific works as they help position a new publication. Each citation carries a particular intent, for example, to highlight the importance of a problem or to compare against results provided by anot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4d02e5e0dddb76e834b48014785ddb5
https://doi.org/10.1145/3487553.3524657

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