| Self-alignment Pre-training for Biomedical Entity Representations F Liu, E Shareghi, Z Meng, M Basaldella, N Collier NAACL, 4228–4238, 2021 | 135 | 2021 |
| COMETA: A Corpus for Medical Entity Linking in the Social Media M Basaldella, F Liu, E Shareghi, N Collier EMNLP, 3122-3137, 2020 | 46 | 2020 |
| Text summarization with harmony search algorithm-based sentence extraction E Shareghi, LS Hassanabadi IEEE/ACM CSTST, 226-231, 2008 | 43 | 2008 |
| A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters M Zhao, Y Zhu, E Shareghi, I Vulić, R Reichart, A Korhonen, H Schütze ACL, 5751-5767, 2021 | 39* | 2021 |
| TaCL: Improving BERT pre-training with token-aware contrastive learning Y Su, F Liu, Z Meng, T Lan, L Shu, E Shareghi, N Collier Findings of NAACL, 2497–2507, 2022 | 27 | 2022 |
| On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation V Prokhorov, E Shareghi, Y Li, MT Pilehvar, N Collier WNGT, 118-127, 2019 | 27 | 2019 |
| Compact, efficient and unlimited capacity: Language modeling with compressed suffix trees E Shareghi, M Petri, G Haffari, T Cohn EMNLP, 2409-2418, 2015 | 17 | 2015 |
| Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT Z Meng, F Liu, TH Clark, E Shareghi, N Collier EMNLP, 4672–4681, 2021 | 16 | 2021 |
| Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models Z Meng, F Liu, E Shareghi, Y Su, C Collins, N Collier ACL, 4798 - 4810, 2022 | 15* | 2022 |
| CLaC-CORE: Exhaustive feature combination for measuring textual similarity E Shareghi, S Bergler * SEM, 202-206, 2013 | 14* | 2013 |
| Fast, small and exact: Infinite-order language modelling with compressed suffix trees E Shareghi, M Petri, G Haffari, T Cohn TACL 4, 477-490, 2016 | 13 | 2016 |
| Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines E Shareghi, D Gerz, I Vulić, A Korhonen NAACL, 4113-4118, 2019 | 12 | 2019 |
| Richer interpolative smoothing based on modified kneser-ney language modeling E Shareghi, T Cohn, G Haffari EMNLP, 944-949, 2016 | 8 | 2016 |
| Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games D Ryu, E Shareghi, M Fang, Y Xu, S Pan, G Haffari ACL, 515-522, 2022 | 6 | 2022 |
| Integrating Transformers and Knowledge Graphs for Twitter Stance Detection T Clark, C Conforti, F Liu, Z Meng, E Shareghi, N Collier W-NUT, 304-312, 2021 | 5 | 2021 |
| Hierarchical Sparse Variational Autoencoder for Text Encoding V Prokhorov, Y Li, E Shareghi, N Collier Rep4NLP, 34-46, 2021 | 5* | 2021 |
| Bayesian Learning for Neural Dependency Parsing E Shareghi, Y Li, Y Zhu, R Reichart, A Korhonen NAACL, 3509-3519, 2019 | 5 | 2019 |
| Compressed Nonparametric Language Modelling E Shareghi, G Haffari, T Cohn IJCAI, 2701-2707, 2017 | 5 | 2017 |
| M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation J Zhao, H Yang, E Shareghi, G Haffari Interspeech, 111-115, 2022 | 4 | 2022 |
| It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data J Zhao, P Arthur, G Haffari, T Cohn, E Shareghi EMNLP, 6707–6715, 2021 | 4 | 2021 |
Nigel CollierProfessor of Natural Language Processing, University of CambridgeZweryfikowany adres z cam.ac.uk
