Items where Author is "Sutcliffe, Richard"
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Article
Sun, Xia and Li, Bo and Sutcliffe, Richard and Gao, Zhizezhang and Kang, Wenying and Feng, Jun (2023) Wse-MF: A weighting-based student exercise matrix factorization model. Pattern Recognition, 138. p. 109285. DOI https://doi.org/10.1016/j.patcog.2022.109285
Chen, Jiacheng and Sun, Xia and Jin, Xin and Sutcliffe, Richard (2022) Extracting drug-drug interactions from no-blinding texts using key semantic sentences and GHM loss. Journal of Biomedical Informatics, 135. p. 104192. DOI https://doi.org/10.1016/j.jbi.2022.104192
Lu, Xin and Deng, Yao and Sun, Ting and Gao, Yi and Feng, Jun and Sun, Xia and Sutcliffe, Richard (2022) MKPM: Multi keyword-pair matching for natural language sentences. Applied Intelligence, 52 (2). pp. 1878-1892. DOI https://doi.org/10.1007/s10489-021-02306-5
Feng, Jun and Liu, Zeyun and Feng, Hongwei and Sutcliffe, Richard and Liu, Jianni and Han, Jian (2019) A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data. Entropy, 21 (3). p. 313. DOI https://doi.org/10.3390/e21030313
Sutcliffe, Richard and Hovy, Eduard and Collins, Tom and Wan, Stephen and Crawford, Tim and Root, Deane L (2019) Searching for musical features using natural language queries: the C@merata evaluations at MediaEval. Language Resources and Evaluation, 53 (1). pp. 87-140. DOI https://doi.org/10.1007/s10579-018-9422-2
Sun, Xia and Dong, Ke and Ma, Long and Sutcliffe, Richard and He, Feijuan and Chen, Sushing and Feng, Jun (2019) Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. Entropy, 21 (1). p. 37. DOI https://doi.org/10.3390/e21010037
Conference or Workshop Item
Quteineh, Husam and Samothrakis, Spyridon and Sutcliffe, Richard (2022) Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation. In: Proceedings of the 29th International Conference on Computational Linguistics, 2022-10-12 - 2022-10-17, Gyeongju, Republic of Korea.
Quteineh, Husam and Samothrakis, Spyridon and Sutcliffe, Richard (2020) Textual Data Augmentation for Efficient Active Learning on Tiny Datasets. In: Empirical Methods in Natural Language Processing, 2020-11-16 - 2020-11-20, Online.