Georgios Balikas

Data Scientist/Machine Learning enthousiast!

Scientific Publications

Here is a list of publications made during my PhD.

Full Papers

  • Georgios Balikas, Charlotte Laclau, Ievgen Redko, and Massih-Reza Amini: Cross-lingual Document Retrieval using Regularized Wasserstein Distance, ECIR 2018, Grenoble, France, 2018

  • Hesam Amoualian, Wei Lu, Eric Gaussier, Georgios Balikas, Massih R Amini and Marianne Clausel: Topical Coherence in LDA-based Models through Induced Segmentation, ACL 2017, Vancouver, Canada, 2017

  • Georgios Balikas, Hesam Amoualian, Marianne Clausel, Eric Gaussier and Massih-Reza Amini:Modeling topic dependencies in semantically coherent text spans with copulas, COLING 2016, Osaka, Japan, 2016.

  • Georgios Balikas, Ioannis Partalas, Eric Gaussier, Rohit Babbar and Massih-Reza Amini: Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data, International Symposium on Intelligent Data Analysis (IDA), Saint-Etienne, 2015.

  • Georgios Balikas, Aris Kosmopoulos, Anastasia Krithara, Georgios Paliouras and Ioannis Kakadiaris Results of the BioASQ Tasks of the Question Answering Lab at CLEF 2015, CLEF 2015, Toulouse, 2015.

  • Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo, Anastasia Krithara, Georgios Paliouras: Results of the BioASQ Track of the Question Answering Lab at CLEF 2014, CLEF 2014, Sheffield, UK, 2014.

Short Papers

  • Georgios Balikas, Simon Moura, Massih R Amini: Multitask Learning for Fine-Grained Twitter Sentiment Analysis, SIGIR 2017, Tokyo, Japan, 2017

  • Georgios Balikas, Massih-Reza Amini and Marianne Clausel: On a topic model for sentences, SIGIR 2016, Pisa, Italy, 2016

  • Georgios Balikas and Massih-Reza Amini: Multi-label, Multi-class Classification Using Polylingual Embeddings, ECIR 2016, Padua, Italy, 2016

Journal Paper

G. Tsatsaronis, G. Balikas, P. Malakasiotis, I. Partalas, M. Zschunke, M. R. Alvers, D. Weissenborn, A. Krithara, S. Petridis, D. Polychronopoulos, Y. Almirantis I. Androutsopoulos, J. Pavlopoulos, N. Baskiotis, P. Gallinari, T. Artieres, A. Ngonga, N. Heino, E. Gaussier, L. Barrio-Alvers, M. Schroeder and G. Paliouras: An overview of the BioASQ large-scale biomedical semantic indexing and question answering competition, BMC Bioinformatics

Workshop Papers

  • Georgios Balikas: TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification, SemEval-2017@ACL, Vancouver, Canada, 2017, Ranked 2/12 in Subtask E: “Fine-grained Twitter Quantification”

  • Georgios Balikas and Massih-Reza Amini: TwiSE at SemEval-2016 Task: Twitter Sentiment Classification, SemEval-2016@NAACL, San Diego, USA, 2016. Ranked 1/11 in subtask C “Tweet classification according to a five-point scale”. Ranked: 2/14 in subtask D “Tweet quantification according to a two-point scale”.

  • Georgios Balikas and Massih-Reza Amini: An empirical study on large scale text classification with skip-gram embeddings,Neu-IR@SIGIR 2016, Pisa, Italy, 2016. [pdf].

  • Georgios Balikas and Massih-Reza Amini: The participation of UJF-Grenoble team at Multiling 2015, Multiling 2015, 2015 [pdf].

  • Georgios Balikas, Anastasia Krithara, Ioannis Partalas, Georgios Paliouras: BioASQ: A challenge on large-scale biomedical semantic indexing and question-answering, In Multimodal Retrieval in the Medical Domain@ECIR 2015, 2015.

National Conferences

  • Simon Moura, Balikas Georgios: Multitask Learning for Fine-Grained Twitter Sentiment Analysis, Conf\E9rence Francophone sur l’Apprentissage Automatique (CAp), Lille, 2017.

  • Anil Goyal, Georgios Balikas, Prantapa Goswami, Massih-Reza Amini and Eric Gaussier: Transfer Learning for IR Model Parameter Tuning, Conf\E9rence Francophone sur l’Apprentissage Automatique (CAp), Lille, 2015.

  • Georgios Balikas and Massih-Reza Amini: Learning language-independent sentence representations for multi-lingual, multi-document summarization, Conf\E9rence Francophone sur l’Apprentissage Automatique (CAp), Lille, 2015.