Call for Papers WWW 2018 Workshop on XMLC for SocMed; Submission Deadline: Feb 10, 2018

[Aasish Pappu]

Workshop on Extreme Multilabel Classification for Social Media, 24 April, 2018 
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