SDU 2021
Scientific Document Understanding 2021

Table of Contents

• Summary: There were 40 papers submitted for peer-review to this workshop. Out of these, 23 papers were accepted in the research track and 10 were accepted in the shared-task track.

Session 1: Research Track

• Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
  Veysel Kocaman, David Talby
• Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
  Xiajing Li, Marios Daoutis
• Diffusion-based Temporal Word Embeddings
  Ahnaf Farhan, Roberto Camacho Barranco, M. Shahriar Hossain, Monika Akbar
• Towards a Virtual Librarian for Biologically Inspired Design Knowledge-Based Methods for Document Understanding
  Ruth Petit-Bois, Jeffrey Jacob, Spencer Rugaber, Ashok Goel
• BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
  Ishani Mondal
• Extraction of Formulaic Expressions from Scientific Papers
  Kenichi Iwatsuki, Akiko Aizawa
• Multi-span Style Extraction for Generative Reading Comprehension
  Junjie Yang, Zhuosheng Zhang, Hai Zhao
• A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
  Xiangci Li, Gully Burns, Nanyun Peng
• Automatic recognition of figurative language in biomedical articles
  Dina Demner-Fushman, Willie Rogers, James Mork
• Probing the SpanBERT Architecture to interpret Scientific Domain Adaptation Challenges for Coreference Resolution
  Hari Timmapathini, Anmol Nayak, Sarathchandra Mandadi, Siva Sangada, Vaibhav Kesri, Karthikeyan Ponnalagu, Vijendran Venkoparao
• Recognizing Figure Labels in Patents
  Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, Liping Yang
• Dual Reinforcement-Based Specification Generation for Image De-Rendering
  Ramakanth Pasunuru, David Rosenberg, Gideon Mann, Mohit Bansal
• Understood in Translation: Transformers for Domain Understanding
  Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck
• Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise
  Sejal Dua, Ioana Baldini, Dmitriy Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz
• Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach
  Huichen Yang, William Hsu
• Understanding and Predicting Retractions of Published Work
  Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
• Importance Assessment in Scholarly Networks
  Saurav Manchanda, George Karypis
• Identifying Used Methods and Datasets in Scientific Publications
  Michael Färber, Alexander Albers, Felix Schüber
• Data Augmentations for Document Images
  Yunsung Lee, Teakgyu Hong, Seungryong Kim
• Interaction Matching for Long-Tail Multi-Label Classification
  Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder
• On Generating Extended Summaries of Long Documents
  Sajad Sotudeh, Arman Cohan, Nazli Goharian
• Toward A Robust Method for Understanding the Replicability of Research
  Ben Gelman, Chae Clark, Scott Friedman, Ugur Kuter, James Gentile

Session 2: Shared-Task Track

• Participation of UC3M in SDU@AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms
  Areej Jaber, Paloma Martı́nez
• Effective Ensembling of Transformer based Language Models for Acronyms Identification
  Divesh Kubal, Apurva Nagvenkar
• BERT-based Acronym Disambiguation with Multiple Training Strategies
  Chunguang Pan, Bingyan Song, Shengguang Wang, Zhipeng Luo
• Systems at SDU-2021 Task 1: Transformers for Sentence Level Sequence Label
  Feng Li, Zhensheng Mai, Wuhe Zou, Wenjie Ou, Xiaolei Qin, Yue Lin, Weidong Zhang
• Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
  Qiwei Zhong, Guanxiong Zeng, Danqing Zhu, Yang Zhang, Wangli Lin, Ben Chen, Jiayu Tang
• AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
  Danqing Zhu, Wangli Lin, Yang Zhang, Qiwei Zhong, Guanxiong Zeng, Weilin Wu, Jiayu Tang
• AI-NLM exploration of the Acronym Identification Shared Task at SDU@AAAI-21
  Willie Rogers, Alastair Rae, Dina Demner-Fushman,
• Primer AI’s Systems for Acronym Identification and Disambiguation
  Nicholas Egan, John Bohannon
• SciDr at SDU-2020 : IDEAS - Identifying and Disambiguating Everyday Acronyms for Scientific Domain
  Aadarsh Singh, Priyanshu Kumar
• Acronym Expander at SDU@AAAI-21: an Acronym Disambiguation Module
  João L. M. Pereira, Helena Galhardas, Dennis Shasha
• Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
  Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi