FuturED 2024: Workshop on Future of Event Detection

CoLocated with EMNLP 2024

Call For Papers

In recent years, there has been a significant increase in the amount of publicly-generated digital data. One prominent category of this data, and arguably the largest in terms of daily generation, pertains to various real-world events, ranging from natural disasters to political occurrences to sports events. Detecting these events serves various crucial purposes, including early warning systems, emergency response, situational awareness, tracking public health trends, and understanding societal shifts, among others. However, automatic real-time event detection presents intriguing challenges, primarily stemming from the characteristics of the data. These challenges include the diversity of public online data (multimodal nature), the rapid pace at which data is produced (velocity), the sheer volume of data generated, and the reliability of the data (veracity). Moreover, the recent advancements in powerful Large Language Models (LLMs) and Generative AI Systems offer new opportunities to revise event detection pipelines, enabling novel approaches and applications across various domains. The workshop focuses on: The workshop focuses on:

We will solicit novel papers, including, but not limited to the following topics:

Important Dates

Submission Deadline Thursday, August 15th 2024
Notification of Acceptance Friday, September 20th 2024
Camera Ready Deadline Friday, October 4th 2024
Workshop Date TBD (November 15th, 2024 or November 16th, 2024)

Submission Information

We will be using the EMNLP Submission Guidelines for the workshop. Authors are invited to submit a full paper of up to 8 pages of content with unlimited pages for references.

We also invite short papers of up to 4 pages of content, including unlimited pages for references. Final camera ready versions of accepted papers will be given an additional page of content to address reviewer comments.

Link for submissions: https://www.softconf.com/emnlp/FuturED

Keynote Speakers


Joel Tetreault
Thien Huu Nguyen
Hemank Lamba
Amanda Hughes