Georgios Balikas

Orcid: 0009-0009-5885-4336

According to our database1, Georgios Balikas authored at least 28 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Bilingual Topic Models for Comparable Corpora.
CoRR, 2021

2020
Query Understanding for Natural Language Enterprise Search.
CoRR, 2020

2019
Wasserstein distances for evaluating cross-lingual embeddings.
CoRR, 2019

Learning Lexical-Semantic Relations Using Intuitive Cognitive Links.
Proceedings of the Advances in Information Retrieval, 2019

2018
Lexical Bias In Essay Level Prediction.
CoRR, 2018

Concurrent Learning of Semantic Relations.
CoRR, 2018

On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings.
Proceedings of the 3rd Swiss Text Analytics Conference, SwissText 2018, Winterthur, 2018

Multi-task Learning for Semantic Relations Discovery.
Proceedings of the EKAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), 2018

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance.
Proceedings of the Advances in Information Retrieval, 2018

2017
Mining and Learning from Multilingual Text Collections using Topic Models and Word Embeddings. (Explorer et Apprendre à partir de collections de textes multilingues à l'aide des modèles probabilistes latents et des réseaux profonds ).
PhD thesis, 2017

CAp 2017 challenge: Twitter Named Entity Recognition.
CoRR, 2017

On the effectiveness of feature set augmentation using clusters of word embeddings.
CoRR, 2017

Multitask Learning for Fine-Grained Twitter Sentiment Analysis.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Topical Coherence in LDA-based Models through Induced Segmentation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
e-Commerce product classification: our participation at cDiscount 2015 challenge.
CoRR, 2016

An empirical study on large scale text classification with skip-gram embeddings.
CoRR, 2016

On a Topic Model for Sentences.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Multi-label, Multi-class Classification Using Polylingual Embeddings.
Proceedings of the Advances in Information Retrieval, 2016

Modeling topic dependencies in semantically coherent text spans with copulas.
Proceedings of the COLING 2016, 2016

2015
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.
BMC Bioinform., 2015

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Results of the BioASQ Tasks of the Question Answering Lab at CLEF 2015.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
Results of the BioASQ Track of the Question Answering Lab at CLEF 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014


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