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This paper introduces the National Centre for Text Mining -University of Manchester systems submitted in CL-SciSumm 2019 Shared Task at BIRNDL 2019 Workshop. ... CL-SciSumm shared tasks focus on the identification of cited passages across scientific publications, and the subsequent summarisation of scientific articles based on their cited extracts. ... Still, the ACL model outperformed other submissions in the 2019 CL-SciSumm task. ...dblp:conf/sigir/ZervaNNA19 fatcat:5lwqktpfyjh2fhiagusm4nwjae
Dragomir Radev and Michihiro Yasunaga from Yale University for sharing the SciSumm-Net dataset for CL-SciSumm 2019 and co-organising this time. ... Acknowledgments We would like to thank SRI International for their generous funding of CL-SciSumm '19 and BIRNDL '19. ... -Chrysoula Zerva, Minh-Quoc Nghiem, Nhung Nguyen and Sophia Anani- adou: NaCTeM-UoM @ CL-SciSumm-19 -Shutian Ma, Heng Zhang, Tianxiang Xu, Jin Xu, Shaohu Hu and Chengzhi Zhang: IR&TM-NJUST @ CLSciSumm ...dblp:conf/sigir/X19 fatcat:hb23ldhfjrb73co2cy6b55nstu
Proceedings of the First Workshop on Scholarly Document Processing
Deep learning models such as CiteListNet (Kim, 2019) and NacTem-UoM (Zerva et al., 2019) learn textual feature representations for classification. ... Data Preprocessing As noted by previous works (Zerva et al.,2019; Wang,2018 ) the CL-SciSumm dataset has numerous formatting issues stemming from the Optical Character Recognition (OCR) module used to ...doi:10.18653/v1/2020.sdp-1.34 fatcat:kn63wheavva5dejl6qzfxe22dy