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 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.
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
Conference
Fall 2025
NLP
Empirical
ACL format
8 pages + references
Frequently Asked Questions
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