The Workshop on Natural Language Processing for Scientific Texts, SciNLP 2021, will once again be hosted at AKBC 2021, as an on-line event. This year's SciNLP focus is on Understanding Scientific Text. We welcome submissions of extended abstracts (1-2 pages only, not including references) on research areas related to Understanding Scientific Text. Submissions may include previously published results, late-breaking results, and work in progress.
We aim to have 4 invited speakers and a poster session. Relevant submissions will be accepted for the virtual poster session. The workshop is non-archival, so participants may also submit their work for publication elsewhere.
TOPICS OF INTEREST
The primary goal of this workshop is to bring together researchers from diverse fields who are interested in building computational systems that extract, represent the knowledge in scientific texts, and/or provide humans better access to such knowledge.
Accordingly, the focus of this year’s SciNLP will be Understanding Scientific Text, and we welcome discussions about research that falls under this focus area, including those describing work-in-progress. Examples of such research include, but are not limited to:
- Methods in natural language processing for extracting and representing knowledge from scientific text (e.g. information extraction, entity normalization, discourse analysis, parsing, knowledge base construction, weak/distant supervision, crowdsourcing), especially in low resource scenarios that are common while processing scientific texts
- Applications of these methods to improving scientific knowledge discovery and/or understanding (e.g. summarization, text generation, translation, question answering, automated literature review, search and recommender systems, techniques for data exploration and visualization)
- Fairness (e.g. augmented or assistive paper reading, concept simplification, scientific education and literacy)
- Science of science studies (in particular, studies that shed light on phenomena that can motivate future research in above-mentioned areas)
- Datasets, Resources (e.g. treebanks, knowledge bases), and Tools (e.g. software libraries, annotation interfaces) for conducting research in such areas, especially for supporting research in underserved areas (e.g. SciNLP on non-English papers)
We welcome research relevant to processing text in any domain of science (e.g. Biology, Medicine, Computer Science, Physics, Economics, Sociology, etc.) that can come from a variety of text sources (e.g. scholarly papers, surveys and technical reports, patents, tweets by scholars, blogs/tutorials, etc.)
The goal of SciNLP is to promote scientific literature (not just news & wiki) as a serious domain of NLP. We would like the workshop to provide a forum for researchers in this field to discover new advances on scientific text understanding, get feedback on early work, and identify existing research gaps and collaboration opportunities.
If you are unsure about whether your work is relevant to our workshop, please reach out to us at scinlp [at] googlegroups.com.
SUBMISSION GUIDELINES
To submit an abstract, please send an email to scinlp [at] googlegroups.com with the subject line “SCINLP submission: [TITLE]”. Please include:
- Abstract in PDF format (1-2 pages max, not including references) as an attachment. Abstracts will be lightly reviewed to ensure that the topic is within the scope of the workshop.
- Indicate which of the authors will be presenting the work. We require each accepted work to provide a poster describing the work. We will reach out with poster uploading instructions after acceptance notification.
- Indicate the scientific domain(s) and source(s) of scientific text relevant to the submission; for example, scientific domain could be “Biology, Genomics” while source of text could be “Peer-reviewed abstracts from PubMed”.
All accepted abstracts (and their posters) will be made available online prior to the workshop and remain accessible afterwards. See last year’s abstract submissions for examples.
If you require accommodation in order to fully participate in the workshop, please let us know and we’ll be in touch to discuss how we can best address your needs.
IMPORTANT DATES
Submission deadline: August 20, 2021
Notification of workshop acceptance: September 10, 2021
Deadline to upload accepted posters: October 1, 2021
Workshop: October 7, 2021
LOCATION: Virtual online event, co-hosted with AKBC 2021
WORKSHOP WEBSITE: https://scinlp.org/
CONFIRMED INVITED SPEAKERS
Andrew Crowse, Precision Medicine Institute, University of Alabama at Birmingham
Marti Hearst, University of California, Berkeley
Maria Liakata, Queen Mary, University of London
Zhiyong Lu, National Center for Biotechnology Information
WORKSHOP ORGANIZERS
Arman Cohan, Allen Institute for AI
Pradeep Dasigi, Allen Institute for AI
Tom Hope, Allen Institute for AI
Kyle Lo, Allen Institute for AI
Sunil Mohan, Chan Zuckerberg Initiative
Alex Wade, Chan Zuckerberg Initiative
Lucy Lu Wang, Allen Institute for AI
Ivana Williams, Chan Zuckerberg Initiative
Dongxu Zhang, University of Massachusetts, Amherst