Farhana Ferdousi Liza
Room to Glo: A systematic comparison of semantic change detection approaches with word embeddings
P Shoemark, FF Liza, D Nguyen, S Hale, B McGillivray
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2020
Multilingual protest news detection-shared task 1, case 2021
A Hürriyetoğlu, O Mutlu, E Yörük, FF Liza, R Kumar, S Ratan
Proceedings of the 4th Workshop on Challenges and Applications of Automated …, 2021
Efficiency of commercial banks in Bangladesh-A data envelopment analysis
MS Ahmed, FF Liza
European Journal of Economics, Finance and Administrative Science 56, 130-152, 2013
Data pattern recognition using neural network with back-propagation training
RA Dilruba, N Chowdhury, FF Liza, CK Karmakar
2006 International Conference on Electrical and Computer Engineering, 451-455, 2006
Implementation architecture of proxy mobile IPv6 protocol for NS2 simulator software
FF Liza, W Yao
2009 International Conference on Communication Software and Networks, 287-291, 2009
An improved crowdsourcing based evaluation technique for word embedding methods
FF Liza, M Grzes
Association for Computational Linguistics, 2016
Variation in the timing of Covid-19 communication across universities in the UK
A Quiroz Flores, F Liza, H Quteineh, B Czarnecka
PloS one 16 (2), e0246391, 2021
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
FA Tan, A Hürriyetoğlu, T Caselli, N Oostdijk, T Nomoto, H Hettiarachchi, ...
arXiv preprint arXiv:2204.11714, 2022
Improving Language Modelling with Noise Contrastive Estimation
FF Liza, M Grzes
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Event Causality Identification with Causal News Corpus--Shared Task 3, CASE 2022
FA Tan, H Hettiarachchi, A Hürriyetoğlu, T Caselli, O Uca, FF Liza, ...
arXiv preprint arXiv:2211.12154, 2022
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
A Robertson, FF Liza, D Nguyen, B McGillivray, SA Hale
arXiv preprint arXiv:2105.00846, 2021
Sentence Classification with Imbalanced Data for Health Applications
FF Liza
Proceedings of the Fifth Social Media Mining for Health Applications …, 2020
Relating RNN layers with the spectral WFA ranks in sequence modelling
FF Liza, M Grześ
Proceedings of the Workshop on Deep Learning and Formal Languages: Building …, 2019
Capturing changes in mood over time in longitudinal data using ensemble methodologies
AM Bucur, H Jang, FF Liza
A spectral method that worked well in the SPiCe’16 competition
FF Liza, M Grześ
International Conference on Grammatical Inference, 143-148, 2017
Challenges of Enforcing Regulations in Artificial Intelligence Act---Analyzing Quantity Requirement in Data and Data Governance
FF Liza
CEUR-WS, 2022
Improving Training of Deep Neural Network Sequence Models
FF Liza
University of Kent,, 2019
Estimating the Accuracy of Spectral Learning for HMMs
FF Liza, M Grześ
International Conference on Artificial Intelligence: Methodology, Systems …, 2016
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