Scholarly Document Processing @ EMNLP 2020
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Workshop Program and Proceedings

The 1st Workshop on Scholarly Document Processing will be held online in conjunction with the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). The workshop will be held as a full-day event on November 19, 2020 (after the main conference).

All times are in EST

Time in EST Plenary -- Zoom Link 1 Breakout -- Zoom Link 2 Presentations in Shared Task Track
8:45 Workshop Start
8.45-9:00 Introduction to SDP
9:00-9:15 Teaser for Shared Tasks (5 mins each) Shared Task: 9:15-10:40
9:15 - 10:35 Research Track: Session 1 COVID-19 Document Processing Shared Task 1: 9:15-9:55 9:15-9:27 CL-SciSumm (Task 1a): Chai et al., NLP-PINGAN-TECH @ CL-SciSumm 2020
9:15-9:35 Wu et al., Acknowledgement Entity Recognition in CORD-19 Papers 9:28-9:40 LaySumm 2: Yu et al., Dimsum @LaySumm 20
9:35-9:55 Bhambhoria et al., A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. 9:40-9:55 LaySumm 3 & LongSumm 2: Ghosh Roy et al., Summaformers @ LaySumm 20, LongSumm 20
9:55-10:15 Zhang et al., Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. Shared Task 2: 9:55-10:40 9:55-10:10 Li et al., CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
10:15-10:35 Satish et al., The Impact of Preprint Servers in the Formation of Novel Ideas. 10:10-10:25 LongSumm 3 & CL-SciSumm (Task 2): Reddy et al., IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
10:25-10:40 Gidiotis et al., AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20
10:40-11:25 Keynote 1: Kuansan Wang
Mitigating Scholarly Corpus Biases with Citations: A Case Study on CORD-19
11:25-11:50 Break Break Break
Research Track: Session 2 SDP Mixed Session Shared Task Track Continues
11:50-12:10 Berger et al., Effective Distributed Representations for Academic Expert Search. Shared Task 3:
11:50 - 12:50
11:50 - 12:05 CL-SciSumm (Task 1a): Aumiller et al., UniHD@CL-SciSumm 2020: Citation Extraction as Search
12:10-12:30 Kim et al., Learning CNF Blocking for Large-scale Author Name Disambiguation. 12:05 - 12:17 LaySumm 1: Seungwon Kim, Using Pre-Trained Transformer for Better Lay Summarization
12:30-12:50 Müller et al., Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain. 12:17 - 12:29 LongSumm 1: Gharebagh et al., GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents
12:30 - 12:42 Umapathy et al., CiteQA@CLSciSumm 2020
12:42 - 12:50 Poster Session Announcement
12:50-13:30 Poster Pitches (Research Track) Poster Track
11 Posters + 2 Demo Presentations Posters: Gather Town Room N
13:30 - 14:00 Break Posters: Gather Town Room N
Research Track: Session 3: Short papers and Findings
14:00-14:10 Ling & Chen, DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers 14:00-14:50 Shared Task Poster Presentations at Gather Town in Room N and Room A
14:10 - 14:20 Medic & Snajder, Improved Local Citation Recommendation Based on Context Enhanced with Global Information
14:20-14:30 Cao et al., Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora (Findings of EMNLP)
14:30-14:40 Subramanian et al., MedICaT: A Dataset of Medical Images, Captions, and Textual References (Findings of EMNLP)
14:40 -14:50 Noh et al., Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization (Findings of EMNLP)
14:50- 15:20 Overview of Results of the Shared Tasks
15:20 -15:30 Break
15:30 -16:15 Keynote 2: Steinn Sigurdsson
The Future of ArXiv and Knowledge Discovery in Open Science
16:15 - 17:00 Plenary Regroup & Panel (OC + Keynote Speakers)
17:00 Close


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