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:

• Looking forward and looking back: The workshop will solicit ideas on how the field of event detection should evolve over the next twenty years, as well as solicit papers reflecting on what has worked and not worked in the field thus far.
• Expanding Beyond NLP: As noted above, there are many sibling areas that actively research event detection. Many of these areas have remained siloed and there is not much cross communication though they are working on similar problem areas. This workshop seeks to address this by actively soliciting research and invited speakers from these areas.
• Theory to Application: Finally, this workshop will emphasize how event detection technology can be used in real-world applications.

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

• Position and opinion papers on the state and future of event detection
• Retrospectives
• Multimodal event detection
• Large language models (LLMs) and their applications for event detection and related areas
• Inferring causal, temporal, coreference, and sub-event relations for events
• Multilingual event detection
• Event representation
• Event ontology
• Never-ending learning
• Streaming algorithms for event detection
• Interpretability of event detection methods
• Bias detection and mitigation
• Human-AI Interaction for event detection framework
• Information visualization for events
• Anomaly detection
• Practical application of event detection for different domains such as emergency response
• Usability of event detection systems
• Datasets for Event Detection

Important Dates

Submission Deadline	Thursday, August 15th, 2024 Monday, August 19th, 2024
Notification of Acceptance	Friday, September 20th 2024
Camera Ready Deadline	Friday, October 4th 2024
Workshop Date	November 15th, 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.

• Previously published papers cannot be accepted.
• The submissions will be reviewed by the program committee.
• As reviewing will be blind, please ensure that papers are anonymous.
• Self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...".
• Please note that unlike EMNLP, which uses ARR for submission management, we will be using the START conference system.

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

Keynote Speakers

• TBD
• TBD
• TBD

Contact Details

Please reach out at: futureofeventdetection@googlegroups.com.