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1st SDP@EMNLP 2020: Online
- Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer:
Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-70-5 - Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard:
Overview of the First Workshop on Scholarly Document Processing (SDP). 1-6 - Steinn Sigurdsson:
The future of arXiv and knowledge discovery in open science. 7-9 - Jian Wu, Pei Wang, Xin Wei, Sarah Michele Rajtmajer, C. Lee Giles, Christopher Griffin:
Acknowledgement Entity Recognition in CORD-19 Papers. 10-19 - Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi:
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. 20-30 - Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang
, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. 31-41 - Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman:
The impact of preprint servers in the formation of novel ideas. 42-55 - Mark Berger, Jakub Zavrel, Paul Groth
Effective distributed representations for academic expert search. 56-71 - Kunho Kim, Athar Sefid, C. Lee Giles:
Learning CNF Blocking for Large-scale Author Name Disambiguation. 72-80 - Mark-Christoph Müller
Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain. 81-90 - Meng Ling, Jian Chen:
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers. 91-96 - Zoran Medic, Jan Snajder:
Improved Local Citation Recommendation Based on Context Enhanced with Global Information. 97-103 - Ibrahim Burak Özyurt:
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining. 104-112 - Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING- A Software Toolkit for Scientific Document Processing. 113-120 - Jiyi Li, Ayaka Sato, Kazuya Shimura, Fumiyo Fukumoto:
Multi-task Peer-Review Score Prediction. 121-126 - Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand:
ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. 127-137 - Takuto Asakura
Towards Grounding of Formulae. 138-147 - Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. 148-157 - Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction. 158-167 - Shane Ding, Edwin Zhang, Jimmy Lin:
Cydex: Neural Search Infrastructure for the Scholarly Literature. 168-173 - Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli:
On the Use of Web Search to Improve Scientific Collections. 174-183 - Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison, Karen Smyth:
Scaling Systematic Literature Reviews with Machine Learning Pipelines. 184-195 - Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. 196-206 - Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel:
A New Neural Search and Insights Platform for Navigating and Organizing AI Research. 207-213 - Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard:
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. 214-224 - Lei Li, Yang Xie, Wei Liu, Yinan Liu, Yafei Jiang, Siya Qi, Xingyuan Li:
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization. 225-234 - Ling Chai, Guizhen Fu, Yuan Ni:
NLP-PINGAN-TECH @ CL-SciSumm 2020. 235-241 - Saichethan Miriyala Reddy, Naveen Saini
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20. 242-250 - Alexios Gidiotis
AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20. 251-260 - Dennis Aumiller
UniHD@CL-SciSumm 2020: Citation Extraction as Search. 261-269 - Santosh Kumar Mishra, Harshavardhan Kundarapu, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020. 270-276 - Artur Jurk, Maik Boltze, Georg Keller, Lorna Ulbrich, Anja Fischer:
1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20. 277-281 - Rong Huang
Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage. 282-287 - Heng Zhang, Lifan Liu, Ruping Wang, Shaohu Hu, Shutian Ma, Chengzhi Zhang:
IR&TM-NJUST@CLSciSumm 20. 288-296 - Anjana Umapathy, Karthik Radhakrishnan, Kinjal Jain, Rahul Singh:
CiteQA@CLSciSumm 2020. 297-302 - Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung:
Dimsum @LaySumm 20. 303-309 - Alaa El-Ebshihy, Annisa Maulida Ningtyas, Linda Andersson, Florina Piroi, Andreas Rauber:
ARTU / TU Wien and Artificial Researcher@ LongSumm 20. 310-317 - Jiaxin Ju
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline. 318-327 - Seungwon Kim:
Using Pre-Trained Transformer for Better Lay Summarization. 328-335 - Sayar Ghosh Roy
Summaformers @ LaySumm 20, LongSumm 20. 336-343 - Rochana Chaturvedi, Saachi, Jaspreet Singh Dhani, Anurag Joshi, Ankush Khanna, Neha Tomar, Swagata Duari
Divide and Conquer: From Complexity to Simplicity for Lay Summarization. 344-355 - Sajad Sotudeh Gharebagh, Arman Cohan
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents. 356-361
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