Second Workshop on NLP for Medical Conversations

Event Notification Type: 
Call for Papers
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Location: 
Co-located with NAACL 2021
Sunday, 6 June 2021
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Contact Email: 
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Submission Deadline: 
Monday, 15 March 2021

Call for Papers

We are pleased to announce the second workshop on NLP for Medical Conversations to be held online on June 6th 2021 in conjunction with NAACL-2021. We invite the submission of papers on original and unpublished research in this upcoming area of interest.

About the workshop

The goal of this workshop is to bring together NLP researchers and medical practitioners, along with experts in machine learning, to discuss the current state-of-the-art approaches, to share their insights and discuss challenges. This is critical in order to bridge existing gaps between research and real-world product deployments, this will further shed light on future directions. “NLP for Medical Conversations” will be a one-day workshop including keynotes, spotlight talks, posters, and panel sessions. In keynote talks, senior technical leaders from industry and academia will share insights on the latest developments of the field. The panel discussion will focus on the challenges, common framework for evaluating models across sites and future directions of conversational AI research in the medical domain, bridging the gap in research and industrial practice, as well as audience-suggested topics.

Important Dates

Paper submission deadline: Monday, March 15th, 2021 11:59 PM UTC-12h.
Acceptance notification: Thursday, April 15th, 2021
Camera-ready deadline: Wednesday, April 21st, 2021
NAACL conference dates: June 6th - June 11th, 2021
Workshop: June 6th, 2021

Submission Instructions

Two types of submissions are invited: full papers and short papers.

Full papers should not exceed eight (8) pages of text, plus unlimited references. Final versions of full papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account.

Short papers may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will still be given up to five (5) content pages in the proceedings.

Cross Submissions

In addition to previously unpublished work, we invite papers on relevant topics which have been submitted to alternative venues (such as other NLP or ML conferences). Please follow double-submission policy from ACL. Accepted cross-submissions will be presented as posters, with an indication of the original venue. Selection of cross-submissions will be determined solely by the organizing committee.

Areas of interest

The active areas of research include, but are not limited to:
Medical conversation summarization
Entity recognition in Medical conversations
Extraction of relations and events in Medical conversations
Entity Linking with medical ontologies
Topic Models for medical conversations
Dissemination of resources for Medical conversation analysis
Strategies to evaluate automated understanding of Medical conversations
Resource sharing or dataset release
Handling Multimodal clinical data
Infrastructures for Clinical Decision Making
Survey and Trends in Medical Conversational AI
Language Understanding (NLU / SLU)
Language Generation
Medical Conversational AI Deployment
Dialogue State Tracking
Dialogue Data Collection / Datasets
End-to-End Dialogue Modeling
Slot-based Conversational AI
Retrieval-based Conversational AI
Generative Conversational AI
Multimodal Dialogues
Contextual Modeling
Coreference Resolution
Semantic Representation
Dialogue Representation Learning
Emergence of Communication
Conversational Recommendations
Patient modeling for Conversational AI
Learning from user feedback

Author responsibility

We encourage submitting interesting ideas, these ideas can also be preliminary and unpublished work. The goal is to trigger discussion even when the idea is not ready for publication. Reviewing will be blind, so please refrain from including any names, affiliations or obvious statements in the paper, such as, “in our previous paper \cite{John:19}”.