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Georgios Balikas
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2020 – today
- 2023
- [c17]Georgios Balikas
:
Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering. CIKM 2023: 5232-5233 - [c16]Georgios Balikas:
John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification. SemEval@ACL 2023: 1428-1432 - 2021
- [i13]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Bilingual Topic Models for Comparable Corpora. CoRR abs/2111.15278 (2021) - 2020
- [i12]Francisco Borges, Georgios Balikas, Marc Brette, Guillaume Kempf, Arvind Srikantan, Matthieu Landos, Darya Brazouskaya, Qianqian Shi:
Query Understanding for Natural Language Enterprise Search. CoRR abs/2012.06238 (2020)
2010 – 2019
- 2019
- [c15]Georgios Balikas, Gaël Dias, Rumen Moraliyski, Houssam Akhmouch, Massih-Reza Amini:
Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. ECIR (1) 2019: 3-18 - [i11]Georgios Balikas, Ioannis Partalas:
Wasserstein distances for evaluating cross-lingual embeddings. CoRR abs/1910.11005 (2019) - 2018
- [c14]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR 2018: 398-410 - [c13]Georgios Balikas, Gaël Dias, Massih-Reza Amini:
Multi-task Learning for Semantic Relations Discovery. EKAW (Posters & Demos) 2018: 5-8 - [c12]Georgios Balikas, Ioannis Partalas:
On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings. SwissText 2018: 26-32 - [i10]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR abs/1805.04437 (2018) - [i9]Georgios Balikas, Gaël Dias, Rumen Moraliyski, Massih-Reza Amini:
Concurrent Learning of Semantic Relations. CoRR abs/1807.10076 (2018) - [i8]Georgios Balikas:
Lexical Bias In Essay Level Prediction. CoRR abs/1809.08935 (2018) - 2017
- [b1]Georgios Balikas:
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 ). Grenoble Alpes University, France, 2017 - [c11]Hesam Amoualian, Wei Lu
Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) 2017: 1799-1809 - [c10]Georgios Balikas:
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification. SemEval@ACL 2017: 755-759 - [c9]Georgios Balikas, Simon Moura, Massih-Reza Amini:
Multitask Learning for Fine-Grained Twitter Sentiment Analysis. SIGIR 2017: 1005-1008 - [i7]Georgios Balikas, Ioannis Partalas, Massih-Reza Amini:
On the effectiveness of feature set augmentation using clusters of word embeddings. CoRR abs/1705.01265 (2017) - [i6]Georgios Balikas, Simon Moura, Massih-Reza Amini:
Multitask Learning for Fine-Grained Twitter Sentiment Analysis. CoRR abs/1707.03569 (2017) - [i5]Cédric Lopez, Ioannis Partalas, Georgios Balikas, Nadia Derbas, Amélie Martin, Coralie Reutenauer, Frédérique Segond, Massih-Reza Amini:
CAp 2017 challenge: Twitter Named Entity Recognition. CoRR abs/1707.07568 (2017) - 2016
- [c8]Georgios Balikas, Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Modeling topic dependencies in semantically coherent text spans with copulas. COLING 2016: 1767-1776 - [c7]Georgios Balikas, Massih-Reza Amini:
Multi-label, Multi-class Classification Using Polylingual Embeddings. ECIR 2016: 723-728 - [c6]Georgios Balikas, Massih-Reza Amini:
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. SemEval@NAACL-HLT 2016: 85-91 - [c5]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
On a Topic Model for Sentences. SIGIR 2016: 921-924 - [i4]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
On a Topic Model for Sentences. CoRR abs/1606.00253 (2016) - [i3]Ioannis Partalas, Georgios Balikas:
e-Commerce product classification: our participation at cDiscount 2015 challenge. CoRR abs/1606.02854 (2016) - [i2]Georgios Balikas, Massih-Reza Amini:
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. CoRR abs/1606.04351 (2016) - [i1]Georgios Balikas, Massih-Reza Amini:
An empirical study on large scale text classification with skip-gram embeddings. CoRR abs/1606.06623 (2016) - 2015
- [j1]George Tsatsaronis
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 16: 138:1-138:28 (2015) - [c4]Georgios Balikas, Aris Kosmopoulos, Anastasia Krithara, Georgios Paliouras, Ioannis A. Kakadiaris:
Results of the BioASQ Tasks of the Question Answering Lab at CLEF 2015. CLEF (Working Notes) 2015 - [c3]Georgios Balikas, Anastasia Krithara
BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. MRDM@ECIR 2015: 26-39 - [c2]Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. IDA 2015: 25-36 - 2014
- [c1]Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo
Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. CLEF (Working Notes) 2014: 1181-1193
Coauthor Index
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