default search action
SDU@AAAI 2022: Virtual Event
- Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Viet Dac 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.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-23 19:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: