Browsing by Subject "Representation Learning"
Now showing items 1-3 of 3
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CONTEXT-AWARE SEMANTIC TEXT MINING AND REPRESENTATION LEARNING FOR TEXT DISAMBIGUATION AND ONLINE HARASSMENT CLASSIFICATION
(2023-12-15)This dissertation presents a new method for text representation learning and applies it to two Natural Language Processing (NLP) problems, namely, word sense disambiguation and text classification. Word Sense Disambiguation ... -
Learning Embeddings for Text and Images from Structure of the Data
(2019-06-25)In the big data era, most of the data generated every day are high dimensional such as text and image data. Learning compact representations from the input data can help in dealing with the high dimensionality and visualization ... -
Novel Approaches to Marker Gene Representation Learning Using Trained Tokenizers and Jointly Trained Transformer Models
(2021-08-19)Next-generation DNA sequencing technologies have made marker-gene DNA sequence data widely available. Analysis of microbiome data has many challenges, including sparsity, high cardinality, and intra-study dependencies ...