Essays about: "multimodal language processing"
Showing result 1 - 5 of 9 essays containing the words multimodal language processing.
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1. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE
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2. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE
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3. Bilingualism in Multimodal Language Processing: A priming study on processing of gestures in English temporal expressions
University essay from Lunds universitet/KognitionsvetenskapAbstract : At its core, language is multimodal (Kendon, 1986; McNeill, 1994), and information presented through different channels of information, such as visually, in the shape of gestures, or verbally, in the shape of speech or signs, together facilitate online language processing (Kelly, Healey, Özyürek, & Holler, 2015; Kelly, Özyürek, & Maris, 2010). This thesis extends previous studies on multimodal processing (Kelly et al. READ MORE
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4. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE
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5. Primary stage Lung Cancer Prediction with Natural Language Processing-based Machine Learning
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Early detection reduces mortality in lung cancer, but it is also considered as a challenge for oncologists and for healthcare systems. In addition, screening modalities like CT-scans come with undesired effects, many suspected patients are wrongly diagnosed with lung cancer. READ MORE
