Natural Language Processing
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. We develop algorithms and computational models to analyze and process large volumes of natural language data in order to extract meaning and insights from text, speech, and other forms of human communication.
About Us
Artificial intelligence, or AI, is increasingly being integrated into our everyday lives. They are in our smartphones (e.g. Siri), facial recognition system in Melbourne Airport, automatic captions on YouTube, and translations on Facebook, just to name a few examples. But how can we make AI truly understand human language? This is an important question, because language is uniquely human — it defines us and our intelligence. Through developing AI that understands language, our research marches one step closer to unlocking the mysteries of our language faculty.
People
Academic Staff
- Tim BaldwinProfessor
Google Scholar tbaldwin@unimelb.edu.au - Trevor CohnProfessor
Google Scholartrevor.cohn@unimelb.edu.au - Eduard Hovy Executive Director
Melbourne Connect
Google Scholareduard.hovy@unimelb.edu.au
- Jey Han Lau Senior Lecturer
Google Scholarjeyhan.lau@unimelb.edu.au - Mike Conway Senior Lecturer
Google Scholarmike.conway@unimelb.edu.au - Lea Frermann Lecturer
Google Scholar lea.frermann@unimelb.edu.au
- Daniel Beck Lecturer
Google Scholarbeck.d@unimelb.edu.au - Ekaterina VylomovaLecturer
Google Scholar ekaterina.vylomova@unimelb.edu.au
Research Staff
- Biaoyan FanResearch Fellow
Google Scholarbiaoyan@unimelb.edu.au - Joseph WestResearch Fellow
Google Scholarjoseph.west@unimelb.edu.au - Qiongkai XuResearch Fellow
Google Scholar qiongkai.xu@unimelb.edu.au
Honorary Staff
- Karin VerspoorProfessor
Google Scholar - Meladel MisticaResearch Data Specialist
Google Scholar - Simon Šuster
Research Fellow
Google Scholar
NLP Graduate Researchers
| Given name | Family name | Profile | Thesis Title |
|---|---|---|---|
| Uri | Berger | Profile | Interactive multimodal language acquisition |
| Shraey | Bhatia | Profile | Text to Image Synthesis using Generative Adversarial Networks |
| Daniel | Cabrera Lozoya | Profile | Augmenting clinical mental health practice with machine learning models and digital phenotyping insights |
| Jiyu | Chen | Profile | Automatic biological data curation based on language understanding and network analysis |
| Sayantan | Dasgupta | Profile | Energy-Aware Machine Learning |
| Biaoyan | Fang | Profile | Anaphora resolution in biochemical text |
| Yilin | Geng | Profile | Cross-lingual Representations in Interpretable Language Models |
| Xudong | Han | Profile | Gender bias detection and debiasing in models of human language |
| Sukai | Huang | Profile | Texted based reinforcement learning agent |
| Fan | Jiang | Profile | Retriever-augmented Approaches for Natural Language Processing |
| Anirudh | Joshi | Profile | TBC |
| Fajri | Koto | Profile | Neural Language Model for Abstractive Text Summarisation |
| Kemal | Kurniawan | Profile | Transfer Learning for Structured Prediction |
| Haonan | Li | Profile | Geospatial Information with Natural Language Processing |
| Miao | Li | Profile | Neural Multi-document Modeling and Abstractive Summarization |
| Zheng Wei | Lim | Profile | Cross-lingual Psycholinguistics with NLP methods |
| Chunhua | Liu | Profile | Word Association Understanding |
| Yulia | Otmakhova | Profile | Multi-document summarization supporting clinical evidence review |
| Yiyuan | Pu | Profile | Literature-based discovery for Alzheimer's disease |
| Viktoria | Schram | Profile | Calibration of Performance Prediction in Low-Resource Settings |
| Hung Thinh | Truong | Profile | Evidence extraction from the clinical trials literature |
| Gisela | Vallejo | Profile | A Fair Plan Towards Mitigating Bias and Misinformation |
| Takashi | Wada | Profile | Multilinguality and acceptability in language |
| Dalin | Wang | Profile | Image captioning with conditional-GAN |
| Jun | Wang | Profile | Adversarial machine learning for machine translation |
| Yuxia | Wang | Profile | Clinical text mining and analysis |
| Zhuohan | Xie | Profile | Hierarchically structured neural narrative generation |
| Rui | Profile | Towards Explainable Fact Checking | |
| Aotao (John) | Xu | Profile | A computational analysis of conceptual combination through time |
| Jinrui | Yang | Profile | Fairness and Bias in Natural Language Processing |
| Rongxin | Zhu | Profile | Automatic summarization for multi-party conversation |
Affiliated Graduate Researchers
- Rena Gao (Linguistics)
- Sheilla Njoto (CAIDE)
- Katie Warburton (Science/Psychology)
- Martin Saint-Jalmes (Florey Institute)
- Hui Chia (Law)
- Rahmad Mahendra (RMIT)
Research & Publications
From medical technologies to machine translation to misinformation analysis, our group tackles a diverse range of natural language processing problems in different domains and applications, and is ranked one of the top groups internationally in the field.