Shared-Task LT4CPR AACL 2026

Deadlines
NLP/CORE Unranked

Shared-Task LT4CPR AACL 2026

Shared-Task First Workshop on Language Technologies for Crisis Preparedness and Response

1794196800000Hengqin, ChinaOfficial workshop site Site reachable

The LT4CPR workshop at AACL-IJCNLP 2026 focuses on language technologies for crisis preparedness and response, aiming to bridge NLP research with humanitarian practice. It centers on developing systems that generate structured situation reports from crisis-related social media, with an emphasis on multilingual, multimodal, and ethically responsible AI applications in low-resource and high-stakes environments.

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

System Description Papers

Papers submitted by shared task participants explaining their approach, resources, experiments, results, error analysis, limitations, and ethical considerations; must disclose models, external data, APIs, and manual interventions.

Archival Research Papers

Up to 8 pages of content (plus unlimited references and appendices); accepted papers appear in proceedings and may be extended by one page for revisions.

Non-Archival Research Papers

Up to 8 pages (excluding references); showcase in-progress or previously published work; presented at the workshop but not included in proceedings.

Talk Proposals and Field Reports

Submissions from practitioners, NGOs, and field experts sharing experience reports or proposing talks on crisis-response practice.

Research areas in scope

01

Topics of Interest

AI for crisis response (e.g., information extraction, situational awareness)Qualitative studies on user needs and technology designTranslating LT research into operational toolsEthics and societal implications of AI in crisis communicationMultilingual and multimodal research on crisis and humanitarian initiativesEvaluation and deployment considerationsAutomatic approaches to enhance communication during crises (e.g., summarization, translation)Position papers and literature surveys on trends and challenges

Policies worth checking twice

  • All submissions must follow ACL 2026 style guidelines and be anonymized for double-blind review.
  • Archival submissions must not be under review at other venues during the LT4CPR review period.
  • Participants must comply with the dataset license and may not redistribute restricted task data.
  • All external data, pretrained models, APIs, prompts, and human involvement must be documented in system description papers.
  • Submitted outputs must be produced by the registered system by the submission deadline.
  • Teams must follow the submission limits and resource restrictions of their selected track.
  • An 'Ethical Considerations' section is encouraged before references and does not count toward the page limit.
  • Shared-task outputs are research artifacts and must not be treated as verified operational intelligence.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026