Vol-3163⫷ Vol-3164 ⫸Vol-3165
urn:nbn:de:0074-3164-4

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International ( CC BY 4.0 ) .

SDU 2022
Scientific Document Understanding 2022

Proceedings of the Workshop on Scientific Document Understanding
co-located with 36th AAAI Conference on Artificial Inteligence ( AAAI 2022 )

Remote, March 1, 2022 .

Edited by

Amir Pouran Ben Veyseh *
Franck Dernoncourt **
Thien Huu Nguyen *
Walter Chang **
Viet Dack Lai *

* University of Oregon , Eugene, OR, USA

** Adobe Research , San Jose, CA, USA

Table of Contents

Summary: There were 33 papers submitted for peer-review to this workshop. Out of these, 17 papers were accepted in the research track and 14 were accepted in the shared-task track.

Session 1: Research Track

Neural Architectures for Biological Inter-Sentence Relation Extraction
Enrique Noriega-Atala , Peter M. Lovett , Clayton Morrison , Mihai Surdeanu
Coherence-based Second Chance Autoencoders for Document Understanding
Saria Goudarzvand , Gharib Gharibi , Yugyung Lee
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Andreas Nugaard Holm , Barbara Plank , Dustin Wright , Isabelle Augenstein
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
Simon Lupart , Benoit Favre , Vassilina Nikoulina , Salah Ait-Mokhtar
BAM: Benchmarking Argument Mining on Scientific Documents
Florian Ruosch , Cristina Sarasua , Abraham Bernstein
Fine-grained Intent Classification in the Legal Domain
Ankan Mullick , Abhilash Nandy , Manav Nitin Kapadnis , Sohan Patnaik , R Raghav
Domain Adaptive Pretraining for Multilingual Acronym Extraction
Usama Yaseen , Stefan Langer
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
Susie Xi Rao , Johannes Rausch , Peter Egger , Ce Zhang
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References
Igor Shapiro , Tarek Saier , Michael Färber
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction
Nithish Kannen , Divyanshu Sheth , Abhranil Chandra , Shubhraneel Pal
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification
Ashish Rana , Deepanshu Khanna , Tirthankar Ghosal , Muskaan Singh , Harpreet Singh , Prashant Singh Rana
Acronym Identification using Transformers and Flair Framework
Fazlourrahman Balouchzahi , Oxana Vitman , Hosahalli Lakshmaiah Shashirekha , Grigori Sidorov , Alexander Gelbukh
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem
Michael Färber , Nicolas Weber
BERTicsson: A Recommender System For Troubleshooting
Nuria Marzo I Grimalt , Serveh Shalmashi , Forough Yaghoubi , Leif Jonsson , Amir H. Payberah
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion
Fei Xia , Bin Li , Yixuan Weng , Xiusheng Huang , Shizhu He
Extraction of Competing Models using Distant Supervision and Graph Ranking
Swayatta Daw , Vikram Pudi
T5 Encoder Based Acronym Disambiguation with Weak Supervision
Gwangho Song , Hongrae Lee , Kyuseok Shim
Applying Multi-Task Reading Comprehension in Acronym Disambiguation
Yunpeng Tai , Xiaoyu Zhang , Xuefeng Xi
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing
Yixuan Weng , Fei Xia , Bin Li , Xiusheng Huang , Shizhu He
Deeper Clinical Document Understanding using Relation Extraction
Hasham Ul Haq , Veysel Kocaman , David Talby
PSG: Prompt-based Sequence Generation for Acronym Extraction
Bin Li , Fei Xia , Yixuan Weng , Bin Sun , Shutao Li , Xiusheng Huang
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Bin Li , Fei Xia , Yixuan Weng , Xiusheng Huang , Bin Sun
Scientific Chart Summarization: Datasets and Improved Text Modeling
Hao Tan , Chen-Tse Tsai , Yujie He , Mohit Bansal
Acronym Extraction with Hybrid Strategies
Siheng Li , Cheng Yang , Tian Liang , Xinyu Zhu , Chengze Yu , Yujiu Yang
Prompt-based Model for Acronym Disambiguation via Negative Sampling
Taiqiang Wu , Xingyu Bai , Yujiu Yang
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References
Igor Shapiro , Tarek Saier , Michael Färber
Segmenting Technical Drawing Figures in US Patents
Md Reshad Ul Hoque , Xin Wei , Muntabir Choudhury , Kehinde Ajayi , Martin Gryder , Jian Wu , Diane Oyen
A Novel Initial Reminder Framework for Acronym Extraction
Xiusheng Huang , Bin Li , Fei Xia , Yixuan Weng
A Framework for Automated Text Generation Benchmarking
Steven Layne , Sebastian Gehrmann , Franck Dernoncourt , Lidan Wang , Trung Bui , Walter Chang
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022
Amir Pouran Ben Veyseh , Nicole Meister , Franck Dernoncourt , Thien Huu Nguyen

2022-06-15: submitted by Amir Pouran Ben Veyseh, metadata incl. bibliographic data published under Creative Commons CC0
2022-07-11 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |