Research output per year
Research output per year
Personal profile
Biography
Hello! I am a tenured assistant professor in the Department of Data Science and Artificial Intelligence of Monash, and an affiliated lecturer of University of Cambridge. Prior to this, I was an associate lecturer at the Department of Electrical and Electronic Engineering of UCL, and before that a postdoc in the Language Technology Lab at University of Cambridge. I have obtained my PhD in Computer Science from Monash University.
Research interests
- Deep generatinve models (e.g., generation and representation learning)
- Bayesian (nonparametric) learning and inference (e.g., application in low-resource NLP)
- Privacy and interpretability in representation learning and model prediction
- Utilising biomedical knowledge graphs (e.g., graph-based generation, entity linking)
External positions
Affiliated Lecturer, University of Cambridge
1 Oct 2020 → 30 Sep 2022Research area keywords
- Natural Language Processing
- Machine Learning
- Deep Generative Models
- Deep learning
- Bayesian Inference
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Combining deep generative models and multi-lingual pretraining for semi-supervised document classification
Zhu, Y., Shareghi, E., Li, Y., Reichart, R. & Korhonen, A., 2021, EACL 2021, The 16th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the Conference. Tsarfaty, R. & Tiedemann, J. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 894-908 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Self-alignment pretraining for biomedical entity representations
Liu, F., Shareghi, E., Meng, Z., Basaldella, M. & Collier, N., Jun 2021, The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference. Hakkani-Tur, D., Rumshisky, A. & Zettlemoyer, L. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 4228–4238 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
COMETA: a corpus for medical Entity Linking in the social media
Basaldella, M., Liu, F., Shareghi Nojehdeh, E. & Collier, N., 2020, 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Cohn, T., He, Y. & Liu, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 3122-3137 16 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Bayesian learning for neural dependency parsing
Shareghi, E., Li, Y., Zhu, Y., Reichart, R. & Korhonen, A., Jun 2019, NAACL 2019, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Vol. 1 (Long and Short Papers), June 2 - June 7, 2019. Doran, C. & Solorio, T. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), Vol. 1. p. 3509-3519 11 p. N19-1354Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus) -
Show some love to your n-grams: a bit of progress and stronger n-gram language modeling baselines
Shareghi, E., Gerz, D., Vulić, I. & Korhonen, A., Jun 2019, NAACL 2019, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Vol. 1 (Long and Short Papers), June 2 - June 7, 2019. Doran, C. & Solorio, T. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), Vol. 1. p. 4113-4118 6 p. N19-1417Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile3 Citations (Scopus)