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2017 EACL EACL 2017

ADoCS: Automatic Designer of Conference Schedules

Abstract

AbstractDistributing papers into sessions in scientific conferences is a task consisting in grouping papers with common topics and considering the size restrictions imposed by the conference schedule. This problem can be seen as a semi-supervised clustering of scientific papers based on their features. This paper presents a web tool called ADoCS that solves the problem of configuring conference schedules by an automatic clustering of articles by similarity using a new algorithm considering size constraints.

🧭 Keyword Pioneer — conference scheduling
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio

Authors

Diego Fernando Vallejo Huanga , Paulina Adriana Morillo Alcívar , Cèsar Ferri Ramírez

Topics

Machine Learning > Core Methods > Clustering Machine Learning > Learning Types > Semi-Supervised Learning

Keywords

semi-supervised clustering document clustering constrained clustering conference scheduling
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