SciCite - arxiv.org/pdf/1904.01608.pdf
Cohan, A., Ammar, W., Van Zuylen, M., & Cady, F. (2019). Structural scaffolds for citation intent classification in scientific publications. arXiv preprint arXiv:1904.01608.
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature. We propose structura
arxiv.org
Github - github.com/allenai/scicite
allenai/scicite
Repository for NAACL 2019 paper on Citation Intent prediction - allenai/scicite
github.com
Tensorflow SciCite Dataset - www.tensorflow.org/datasets/catalog/scicite
scicite | TensorFlow Datasets
학술 논문에서 인용 의도를 분류하기위한 데이터 세트입니다. 각 Json 객체의 기본 인용 의도 레이블은 레이블 키로 지정되고 인용 컨텍스트는 컨텍스트 키로 지정됩니다. 예 : { 'string': 'chacma 개
www.tensorflow.org
인용의도 선행연구 - transacl.org/ojs/index.php/tacl/article/view/1266
Jurgens, D., Kumar, S., Hoover, R., McFarland, D., & Jurafsky, D. (2018). Measuring the evolution of a scientific field through citation frames. Transactions of the Association for Computational Linguistics, 6, 391-406.
Measuring the Evolution of a Scientific Field through Citation Frames | Jurgens | Transactions of the Association for Computatio
Abstract Citations have long been used to characterize the state of a scientific field and to identify influential works. However, writers use citations for different purposes, and this varied purpose influences uptake by future scholars. Unfortunately,
transacl.org
Paper With Code / SciCite Ranking - SciBERT 1위
paperswithcode.com/sota/sentence-classification-on-scicite
Papers with Code - SciCite Benchmark (Sentence Classification)
The current state-of-the-art on SciCite is SciBERT. See a full comparison of 6 papers with code.
paperswithcode.com
SciBert - arxiv.org/abs/1903.10676
Beltagy, I., Lo, K., & Cohan, A. (2019). SciBERT: A pretrained language model for scientific text. arXiv preprint arXiv:1903.10676.
SciBERT: A Pretrained Language Model for Scientific Text
Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained language model based on BERT (Devlin et al., 2018) to address the lack of high-quality, large-scale labeled scientifi
arxiv.org
Github - github.com/allenai/scibert
allenai/scibert
A BERT model for scientific text. Contribute to allenai/scibert development by creating an account on GitHub.
github.com
ImpactCite - arxiv.org/abs/2005.06611
Mercier, D., Rizvi, S. T. R., Rajashekar, V., Dengel, A., & Ahmed, S. (2020). ImpactCite: An XLNet-based method for Citation Impact Analysis. arXiv preprint arXiv:2005.06611.
ImpactCite: An XLNet-based method for Citation Impact Analysis
Citations play a vital role in understanding the impact of scientific literature. Generally, citations are analyzed quantitatively whereas qualitative analysis of citations can reveal deeper insights into the impact of a scientific artifact in the communit
arxiv.org
Github - github.com/DominiqueMercier/ImpactCite
DominiqueMercier/ImpactCite
ImpactCite: A XLNet-based Solution Enabling Qualitative CitationImpact Analysis Utilizing Sentiment and Intent - DominiqueMercier/ImpactCite
github.com
기타 / 3C 분류 성능평가 - oro.open.ac.uk/73290/
Kunnath, S. N., Pride, D., Gyawali, B., & Knoth, P. (2020). Overview of the 2020 wosp 3c citation context classification task. In Proceedings of the 8th International Workshop on Mining Scientific Publications (pp. 75-83). Association for Computational Linguistics.
Overview of the 2020 WOSP 3C Citation Context Classification Task - Open Research Online
Kunnath, Suchetha N.; Pride, David; Gyawali, Bikash and Knoth, Petr (2020). Overview of the 2020 WOSP 3C Citation Context Classification Task. In: Proceedings of the 8th International Workshop on Mining Scientific Publications, Association for Computationa
oro.open.ac.uk
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