NLP
8 pages + references
Two columns
EMNLP LaTeX Template
Conference on Empirical Methods in Natural Language Processing
Major NLP venue focusing on empirical methods. Uses ACL style files.
About the EMNLP Template
EMNLP (Conference on Empirical Methods in Natural Language Processing) is a top-tier NLP conference organized by SIGDAT, a special interest group of the ACL. It emphasizes empirical approaches to natural language processing and is considered alongside ACL and NAACL as one of the premier NLP venues.
EMNLP 2026 will be held in Budapest, Hungary (October 24–29, 2026). All submissions go through ACL Rolling Review (ARR), with the ARR submission deadline of May 25, 2026.
EMNLP uses the standard ACL style files, so the LaTeX template is identical to the one used for ACL, NAACL, and other *ACL conferences. The format is two-column with an 8-page limit for long papers and a 4-page limit for short papers. The mandatory Limitations section is required, placed after the conclusion.
The conference covers a wide range of NLP topics including machine translation, information extraction, question answering, summarization, dialogue systems, and large language models. EMNLP typically has a strong focus on reproducibility and empirical rigor.
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Formatting Requirements
| Property | Specification |
|---|---|
| Layout | Two columns |
| Font Size | 11pt |
| Paper Size | US Letter |
| Document Class | acl_latex with acl style |
| Citation Style | Author-year, natbib |
| Page Limit | 8 pages + references |
| Required Sections | Limitations |
Key Dates
Submission
May 25, 2026 (via ARR)
Notification
August 20, 2026
Camera-Ready
September 20, 2026
Conference
October 24–29, 2026 — Budapest, Hungary
NLP
Empirical
ACL format
8 pages + references
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