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