Browsing NTNU Open by Author "Sun, Mengtao"
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Deep Learning for Low-Resource and Morphology-Rich Language Processing
Sun, Mengtao (Doctoral theses at NTNU;2023:50, Doctoral thesis, 2023)Since data-driven Natural Language Processing (NLP) approaches emerged in the late 60s, many practical applications have been proposed, such as automatic sentiment analyzers and named entity recognizers. Today, the robust ... -
Detecting Small Anatomical Structures in 3D Knee MRI Segmentation by Fully Convolutional Networks
Sun, Mengtao; Lu, Li; Hameed, Ibrahim A.; Skaar Kulseng, Carl Petter; Gjesdal, Kjell-Inge (Journal article; Peer reviewed, 2021) -
Empirical Study of Day-Ahead Electricity Spot-Price Forecasting: Insights into a Novel Loss Function for Training Neural Networks
Loutfi, Ahmad Amine; Sun, Mengtao; Loutfi, Ijlal; Solibakke, Per Bjarte (Peer reviewed; Journal article, 2022)Within deregulated economies, large electricity volumes are traded in daily spot markets, which are highly volatile. To develop profitable trading strategies, all stakeholders must be empowered with robust forecasting ... -
Learning the Morphological and Syntactic Grammars for Named Entity Recognition
Sun, Mengtao; Yang, Qiang; Wang, Hao; Pasquine, Mark; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2022)In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
Sun, Mengtao; Wang, Hao; Pasquine, Mark; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
A Novel Ensemble Representation Framework for Sentiment Classification
Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao (Chapter, 2020)Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ... -
Perceiving the Narrative Style for Fake News Detection Using Deep Learning
Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao; Pasquine, Mark (Chapter, 2021)Existing deep-learning-based features have shown strong enough results (more than 90% accuracy) if a large amount of annotated data is available. However, in reality, data annotation is labor-intensive and expensive. This ... -
Skip Truncation for Sentiment Analysis of Long Review Information Based on Grammatical Structures
Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao; Pasquine, Mark (Peer reviewed; Journal article, 2022)In reality, some emotional utterances are especially long, such as the critiques of a movie. Compared with short sentences, the sentiment of a longer paragraph is more difficult to be detected. Moreover, longer paragraphs ...