Conference Information

INLG 2026: International Conference on Natural Language Generation

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Submission Date:
2026-07-15
Notification Date:
2026-08-15
Conference Date:
2026-10-17
Location:
Utrecht, The Netherlands
Years:
ICORE: B   Viewed: 14475   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

61.0 / 100
Ranked #553 of 5,651 conferences · Top 10%

#11 of 85 in Natural Language Processing & Speech

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
81
Community attention (10%)
15
Public record completeness (15%)
55

Inputs used: Listed as ICORE B · Editions on record: 19 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-07

Call For Papers

INLG 2026 (International Conference on Natural Language Generation) is a ICORE B conference held in Utrecht, The Netherlands on 2026-10-17. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-15.

Topics INLG 2026 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to: Large Language Models (LLMs) for NLG Evaluation and error analysis of NLG systems Explainability in and Trustworthiness of NLG systems Generalizability of NLG systems Bias and fairness in NLG systems Reasoning models for NLG Affect/emotion generation Analysis and detection of automatically generated text Cognitive modeling of language production Computational efficiency of NLG models Corpora and resources for NLG Ethical considerations of NLG Multimedia, multimodality and grounding in generation NLG and accessibility NLG in speech synthesis and spoken language models NLG in dialogue systems and chatbots NLG for human-robot interaction NLG for low-resourced languages NLG for real-world applications Paraphrasing, summarization and translation Personalisation and variation in text Storytelling and narrative generation Sub-tasks of the classic NLG pipeline NLG architectures
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