Machine learning and natural language processing
10. Poster session 1
Presentation format:
- 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!!!
- Poster presentation
- The poster itself, presented via the projector (no need to print it physically)
- Duration max 7 minutes!!!
- 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).
- Some examples: Bag of tricks for efficient text classification, Efficient estimation of word representations in vector space (some of the most influential papers related to word embeddings, published on arXiv)