Machine learning and natural language processing

10. Poster session 1

Presentation format:

  1. Teaser presentation
    •  A couple of slides summarising the research/publication you want to introduce - what's the problem it tackles, why is the problem important, why no one solved it before, what's the gist of the solution?
    • Duration max 3 minutes!!!
  2. Poster presentation
    • The poster itself, presented via the projector (no need to print it physically)
    • Duration max 7 minutes!!!
  3. Discussion
    • General discussion
    • Duration max 4 minutes!!!


People and presentations slated for this session:

  • Singh, Kuldeep
    • Title: Smart To-Do : Automatic Generation of To-Do Items from Emails
  • Pukančík, Marián
    • Title: SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
  • Egeolu, Ifeanyichukwu
    • Title: News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model
  • Barnišin, Michal
    • Title: Attention Is All You Need
  • Kuatbayeva, Aruzhan
    • Title: TBC
  • Thapa, Sujit
    • Title: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • Rakkanath, Vipin
    • Title: News Environment Perception for Fake News Detection


For your convenience - transcript of the guidelines for publications to be selected as your poster topics:

  • Influential (or at least potentially influential) journal article or conference paper dealing with a ML topic in NLP are acceptable. The actual topic is up to you.
  • For journals, Q1 ranking in at least one journal field (and at least Q2 in others, if applicable) is a good indicator that corresponding journal articles may be influential. The following link can be used to determine the quartile ranking of journals: https://www.scimagojr.com/journalrank.php
    • Some examples: Journal of Machine Learning Research, Artificial Intelligence
  • For conferences, rank A is a good indicator that corresponding journal papers may be influential. The following link can be used to determine the ranking of conferences: http://portal.core.edu.au/conf-ranks/
    • Some examples: AAAI, COLING, ACL, NeurIPS
  • Alternatively, the high influence of a publication may be determined by its citation count - if a publication has at least 1000 citations on Google Scholar, it's very likely rather influential even if it comes from a venue that is not highly-ranked (sometimes it doesn't even have to be peer-reviewed).