| Vol-3656 urn:nbn:de:0074-3656-4 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
Scientific Document Understanding 2023

### Proceedings of the Workshop on Scientific Document Understanding
co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023)

### Remote, February 14, 2023.

Edited by

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

* University of Oregon, Eugene, OR, USA
** Adobe Research, Seattle, WA, USA

## Table of Contents

- Summary: There were 20 papers submitted for peer-review to this workshop. Out of these, 14 papers were accepted in the workshop.

### Accepted Papers

- BERT-based Models for Arabic Long Document Classification
  Muhammad AL-Qurishi, Riad Souissi
- ACL-Fig: A Dataset for Scientific Figure Classification
  Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles
- ChemProp: A Dataset with Annotations for Instructional Language in Chemical Patents
  Sopan Khosla, Carolyn Rose
- ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
  Debayan Banerjee, Seid Muhie Yimam, Sushil Awale, Chris Biemann
- Exploiting Contextual Embeddings to Extract Topic Genealogy from Scientific Literature
  Alfio Ferrara, Stefano Montanelli, Sergio Picascia, Davide Riva
- A Practical Entity Linking System for Tables in Scientific Literature
  Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi
- Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering
  Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng
- Citation Intent Classification Through Weakly Supervised Knowledge Graphs
  Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
- Is Dynamicity All You Need?
  Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara
- Investigating Scientific Misinformation Using Different Modes of Learning
  Autumn Toney-Wails, Kornraphop Kawintiranon, Lisa Singh, Paul-Emmanuel Courtines, Alexander Lin, Haofei Zhang
- Envisioning the Next-Gen Document Reader
  Catherine Yeh, Nedim Lipka, Franck Dernoncourt
- Using a Novel Capsule Network For an Innovative Approach to Image Captioning
  Shima Javanmardi, Mehrdad Jahanbanifard, Marcello Bonsangue, Fons J. Verbeek
- SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
  Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki
- ChartParser: Automatic Chart Parsing for Print-Impaired
  Anukriti Kumar, Tanuja Ganu

2024-02-03: submitted by Amir Pouran Ben Veyseh, metadata incl. bibliographic data published under Creative Commons CC0
2024-03-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|