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XMLC for SocMed 2018 : Extreme Multilabel Classification for Social Media In association with The Web Conference 2018, Lyon, France

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Link: https://sites.google.com/view/xmlc/
 
When Apr 24, 2018 - Apr 24, 2018
Where Lyon, France
Submission Deadline Feb 10, 2018
Notification Due Feb 25, 2018
Final Version Due Mar 4, 2018
Categories    multi label learning   machine learning   social media   world wide web
 

Call For Papers

24 April, 2018
Extreme Multilabel Classification for Social Media
In association with The Web Conference 2018, Lyon, France

https://sites.google.com/view/xmlc/

The Web Conference showcases state-of-the-art research in the fields of information retrieval, machine learning, artificial intelligence and computer science in general. The theme of this workshop is Extreme Multilabel Classification (XMLC).

XMLC is a very active and rapidly growing research area that deals with the problem of labeling an item with a set of tags out of an extremely large number of potential tags. While the difficulty and the potential applications of XMLC are well understood in the core machine learning community, to the best of our knowledge, XMLC has not made inroads in the field of Information Retrieval (IR) and related areas. The aim of this workshop is to bring researchers from academia and industry to further advance this very exciting field and come up with potential applications of XMLC in new areas.

Authors are invited to submit long (8 pages) and short (4 pages) papers, please clicks the following link for submission:

https://easychair.org/conferences/?conf=www2018satellites


Topics of interest include:

Given that the main aim of this workshop is to identify new application areas for XMLC, we propose topics that are aligned with this goal along with other topics in this area:

New applications of XMLC: social media events, hashtags detection e.g., Twitter moments, e-commerce, multi-lingual XMLC
Structured XMLC: knowledge graph/taxonomy, events as labels: temporally structured events, spatially similar events
Incremental inclusion of new labels and training data: zero shot learning, pre- and post-training, active learning
Multi-task multilabel learning: transfer learning, semi-supervised learning
Computational aspects of XMLC: log-time and log-space prediction, model and computation parallelization
Bayesian models for XMLC: generative models for XMLC, tackling label polysemy, synonymy and correlations.
Deep XMLC: neural models for XMLC
Evaluation for XMLC: novel metrics for XMLC evaluation
Feature extraction and feature engineering for XMLC



Important Dates

Submission Deadline: 10 February 2018
Acceptance Notification: 25 February 2018
Final Version Due: 4 March 2018
Workshop Date: 24 April 2018


Organizing Committee:

Akshay Soni, Yahoo Research, Sunnyvale
Robert Busa-Fekete, Yahoo Research, New York
Krzysztof Dembczyński, Poznan University of Technology
Aasish Pappu, Yahoo Research, New York

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