Farhana Ferdousi Liza

Orcid: 0000-0003-4854-5619

Affiliations:
  • University of East Anglia, School of Computing Sciences, UK
  • University of Kent, UK (PhD 2020)


According to our database1, Farhana Ferdousi Liza authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Gender bias in transformers: A comprehensive review of detection and mitigation strategies.
Nat. Lang. Process. J., 2024

2023
Working with troubles and failures in conversation between humans and robots: workshop report.
Frontiers Robotics AI, February, 2023

Gender Bias in Transformer Models: A comprehensive survey.
CoRR, 2023

RECESS: Resource for Extracting Cause, Effect, and Signal Spans.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Challenges of Enforcing Regulations in Artificial Intelligence Act - Analyzing Quantity Requirement in Data and Data Governance.
Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), 2022

Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

2021
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

2020
Sentence Classification with Imbalanced Data for Health Applications.
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

2019
Improving training of deep neural network sequence models.
PhD thesis, 2019

Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Improving Language Modelling with Noise Contrastive Estimation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

A Spectral Method that Worked Well in the SPiCe'16 Competition.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

Estimating the Accuracy of Spectral Learning for HMMs.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016


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