An Intelligent Hybrid Approach for Improving Recall in Electronic Discovery. - Eniafe F. Ayetiran (DoCoPe@JURIX, 2013)

EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique. - Eniafe Festus Ayetiran; Guido Boella (SemEval@NAACL-HLT, 2015)

A Combined Unsupervised Technique for Automatic Classification in Electronic Discovery. - Eniafe Festus Ayetiran (2017)

An Optimized Lesk-Based Algorithm for Word Sense Disambiguation. - Eniafe Festus Ayetiran; Kehinde Kayode Agbele (Open Comput. Sci., 2018)

Quo Vadis, Math Information Retrieval. - Petr Sojka; Vít Novotný; Eniafe Festus Ayetiran; Dávid Lupták; Michal Stefánik (RASLAN, 2019)

Text classification with word embedding regularization and soft similarity measure. - Vít Novotný; Eniafe Festus Ayetiran; Michal Stefánik; Petr Sojka (CoRR, 2020)

An index-based joint multilingual/cross-lingual text categorization using topic expansion via BabelNet. - Eniafe Festus Ayetiran (Turkish J. Electr. Eng. Comput. Sci., 2020)

One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages. - Vít Novotný; Eniafe Festus Ayetiran; Dalibor Bacovský; Dávid Lupták; Michal Stefánik; Petr Sojka (RANLP, 2021)

One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. - Vít Novotný; Eniafe Festus Ayetiran; Dávid Lupták; Michal Stefánik; Petr Sojka (CoRR, 2021)

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. - Vít Novotný; Michal Stefánik; Eniafe Festus Ayetiran; Petr Sojka (CoRR, 2021)

EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. - Eniafe Festus Ayetiran; Petr Sojka; Vít Novotný (Knowl. Based Syst., 2021)

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. - Vít Novotný; Michal Stefánik; Eniafe Festus Ayetiran; Petr Sojka; Radim Rehurek (J. Univers. Comput. Sci., 2022)

Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks. - Eniafe Festus Ayetiran (Knowl. Based Syst., 2022)

A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection. - Eniafe Festus Ayetiran; Özlem Özgöbek (IEEE Access, 2024)

An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection. - Eniafe Festus Ayetiran; Özlem Özgöbek (Inf. Syst., 2024)