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ORCIDSDU@AAAI 2022: Virtual Event
- Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Viet Dack Lai:
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, SDU@AAAI 2022, Virtual Event, March 1, 2022. CEUR Workshop Proceedings 3164, CEUR-WS.org 2022
Session 1: Research Track
- Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. - Saria Goudarzvand, Gharib Gharibi, Yugyung Lee:
Coherence-based Second Chance Autoencoders for Document Understanding. - Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. - Simon Lupart, Benoît Favre, Vassilina Nikoulina, Salah Ait-Mokhtar:
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic. - Florian Ruosch, Cristina Sarasua, Abraham Bernstein:
BAM: Benchmarking Argument Mining on Scientific Documents. - Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav:
Fine-grained Intent Classification in the Legal Domain. - Usama Yaseen, Stefan Langer:
Domain Adaptive Pretraining for Multilingual Acronym Extraction. - Susie Xi Rao, Johannes Rausch, Peter H. Egger, Ce Zhang:
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. - Igor Shapiro, Tarek Saier
, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. - Nithish Kannen, Divyanshu Sheth, Abhranil Chandra, Shubhraneel Pal:
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction. - Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana:
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. - Fazlourrahman Balouchzahi, Oxana Vitman, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov, Alexander F. Gelbukh:
Acronym Identification using Transformers and Flair Framework. - Michael Färber, Nicolas Weber:
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem. - Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah:
BERTicsson: A Recommender System For Troubleshooting. - Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He:
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. - Swayatta Daw, Vikram Pudi:
Extraction of Competing Models using Distant Supervision and Graph Ranking. - Gwangho Song, Hongrae Lee, Kyuseok Shim:
T5 Encoder Based Acronym Disambiguation with Weak Supervision. - Yunpeng Tai, Xiaoyu Zhang, Xuefeng Xi:
Applying Multi-Task Reading Comprehension in Acronym Disambiguation. - Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. - Hasham Ul Haq, Veysel Kocaman, David Talby:
Deeper Clinical Document Understanding using Relation Extraction. - Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang:
PSG: Prompt-based Sequence Generation for Acronym Extraction. - Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun:
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. - Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal:
Scientific Chart Summarization: Datasets and Improved Text Modeling. - Siheng Li, Cheng Yang, Tian Liang, Xinyu Zhu, Chengze Yu, Yujiu Yang:
Acronym Extraction with Hybrid Strategies. - Taiqiang Wu, Xingyu Bai, Yujiu Yang:
Prompt-based Model for Acronym Disambiguation via Negative Sampling. - Igor Shapiro, Tarek Saier, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. - Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen:
Segmenting Technical Drawing Figures in US Patents. - Xiusheng Huang, Bin Li, Fei Xia, Yixuan Weng:
A Novel Initial Reminder Framework for Acronym Extraction. - Steven Layne, Sebastian Gehrmann, Franck Dernoncourt, Lidan Wang, Trung Bui, Walter Chang:
A Framework for Automated Text Generation Benchmarking. - Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt, Thien Huu Nguyen:
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
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