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

Event Dates

Apr 24, 2018 - Apr 24, 2018

Location

Lyon, France

Submission Deadline

Feb 10, 2018

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