| A word embedding approach to predicting the compositionality of multiword expressions B Salehi, P Cook, T Baldwin Proceedings of the 2015 conference of the North American chapter of the …, 2015 | 130 | 2015 |
| Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality B Salehi, P Cook, T Baldwin | 54 | 2014 |
| Predicting the compositionality of multiword expressions using translations in multiple languages B Salehi, P Cook Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 45 | 2013 |
| Detecting non-compositional MWE components using Wiktionary B Salehi, P Cook, T Baldwin Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 29 | 2014 |
| How well do embedding models capture non-compositionality? a view from multiword expressions N Nandakumar, T Baldwin, B Salehi Proceedings of the 3rd Workshop on Evaluating Vector Space Representations …, 2019 | 26 | 2019 |
| A joint model for multimodal document quality assessment A Shen, B Salehi, T Baldwin, J Qi 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 107-110, 2019 | 24 | 2019 |
| Evaluating document coherence modeling A Shen, M Mistica, B Salehi, H Li, T Baldwin, J Qi Transactions of the Association for Computational Linguistics 9, 621-640, 2021 | 19 | 2021 |
| The impact of multiword expression compositionality on machine translation evaluation B Salehi, N Mathur, P Cook, T Baldwin Proceedings of the 11th Workshop on Multiword Expressions, 54-59, 2015 | 17 | 2015 |
| UniMelb at SemEval-2016 Task 3: Identifying similar questions by combining a CNN with string similarity measures T Baldwin, H Liang, B Salehi, D Hoogeveen, Y Li, L Duong Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 15 | 2016 |
| A joint model for multimodal document quality assessment. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) A Shen, B Salehi, T Baldwin, J Qi IEEE, 107ś110, 2019 | 11 | 2019 |
| Huntsville, hospitals, and hockey teams: Names can reveal your location B Salehi, D Hovy, E Hovy, A Søgaard Proceedings of the 3rd Workshop on Noisy User-generated Text, 116-121, 2017 | 11 | 2017 |
| Modelling uncertainty in collaborative document quality assessment A Shen, D Beck, B Salehi, J Qi, T Baldwin Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019 | 10 | 2019 |
| A comparative study of embedding models in predicting the compositionality of multiword expressions N Nandakumar, B Salehi, T Baldwin Proceedings of the Australasian Language Technology Association Workshop …, 2018 | 10 | 2018 |
| Determining the multiword expression inventory of a surprise language B Salehi, P Cook, T Baldwin Proceedings of COLING 2016, the 26th international conference on …, 2016 | 9 | 2016 |
| Automatic identification of Persian light verb constructions B Salehi, N Askarian, A Fazly International Conference on Intelligent Text Processing and Computational …, 2012 | 9 | 2012 |
| A Multimodal Approach to Assessing Document Quality. A Shen, B Salehi, J Qi, T Baldwin Journal of Artificial Intelligence Research 68, 2020 | 8 | 2020 |
| Multitask Learning for Query Segmentation in Job Search B Salehi, F Liu, T Baldwin, W Wong Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018 | 8 | 2018 |
| UniMelb NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity S Gella, B Salehi, M Lui, K Grieser, P Cook, T Baldwin Atlanta, Georgia, USA, 207, 2013 | 8 | 2013 |
| A novel genetic-based instance selection method: Using a divide and conquer approach B Kazimipour, B Salehi, MZ Jahromi The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | 8 | 2012 |
| A general approach to multimodal document quality assessment A Shen, B Salehi, J Qi, T Baldwin Journal of Artificial Intelligence Research 68, 607-632, 2020 | 7 | 2020 |
Timothy BaldwinMBZUAI and The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
