EACL 2021, April 19 or 20
Contact email: hcinlp2021 at gmail.com
About the Workshop
The rapid advancement of natural language processing (NLP) research has led to a variety of applications spanning a wide range of domains. As NLP applications are being used by more people in their everyday lives, and are increasingly powered by data generated by people, it is more important than ever that NLP research adopt and develop methods to incorporate people into that research in meaningful ways. Perspectives from human-computer interaction (HCI) can help NLP researchers and practitioners to advance the field in ways that are aligned with people's needs, raising novel questions and research directions for both NLP and HCI.
The goal of the Bridging Human--Computer Interaction and Natural Language Processing Workshop is to bring researchers and practitioners from both disciplines (HCI & NLP) together to discuss their shared research interests; highlight work at the intersection of these fields; identify challenges and opportunities for productive interdisciplinary collaboration.
We especially invite graduate students and early career researchers to participate.
Call for Participation
We invite researchers and practitioners to submit extended abstracts or short papers, of 1 to 4 pages in length. Authors can choose to make either an archival or non-archival submission. We invite submissions that include (but are not limited to): works-in-progress; research proposals; provocations or critical approaches; surveys or meta-analyses highlighting opportunities for new research.
Topics of Interest
Topics of the workshop include, but are not limited to: Research on human experiences of language-based systems, such as user evaluations. Methods or case studies focused on exploring the design space of novel interfaces, interactions, and experiences; problem formulation or task specification; development, selection, and annotation of corpora, including approaches to modeling disagreement or dissensus; evaluation methods and evaluation metrics; explainable models and explainable systems; human-in-the-loop pipelines. Cross-cutting questions and challenges of interdisciplinary collaboration between the two communities (i.e., HCI & NLP), such as approaches to translating research, including challenges, implicit assumptions and tensions, and lessons learned. Qualitative or participatory design methods for NLP research and practice. Speculative design, value-sensitive design, and critical design approaches. Fundamental questions of fairness, equity, and ethics in language-based systems. Considerations of accessibility and disability throughout the NLP research and development lifecycle.
Deadline for submission: Feb. 5, 2021
Notification of acceptance: Feb. 22, 2021
Deadline for camera-ready version: Mar. 1, 2021
Workshop date: Apr. 19 or 20, 2021
Su Lin Blodgett, Microsoft Research
Michael Madaio, Microsoft Research
Brendan O'Connor, University of Massachusetts Amherst
Hanna Wallach, Microsoft Research
Qian Yang, Cornell University
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