Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Sequence-to-Sequence Models"”.
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Improving Attention-based Sequence-to-sequence Models
Attention-based models have achieved state-of-the-art performance in various sequence-to-sequence tasks, including Neural Machine Translation (NMT), Automatic Speech Recognition (ASR) and speech synthesis, also known as Text-To-Speech (TTS). These models are often autoregressive, which leads to …
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Data Augmentation with Seq2Seq Models
… corpus for the visual question answering system to make it more robust to paraphrases. This corpus is generated by concatenating two sequence to sequence models. In order to generate diverse paraphrases, we sample the neural network using diverse beam search. We evaluate the results on the …
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Generalizable neural network representations of patient state in the intensive care unit
… Machine learning algorithms have been used to model patient physiology to predict patient outcomes and administration of interventions. These predictions can be made directly on the raw patient data extracted from electronic health records. However, this data can be high dimensional with …
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Multi task learning and incorporating common sense knowledge for question answering
Question Answering (QA) system is an automated approach to retrieve correct responses to the questions asked by human in natural language. Reading comprehension (RC)in contrast to information retrieval, requires integrating information and reasoning about events, entities, and their relations …
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Formality Style Transfer Within and Across Languages with Limited Supervision
… When editing an article, professional editors take into account the target audience to select appropriate word choice and grammar. Similarly, professional translators translate documents for a specific audience and often ask what is the expected tone of the content when taking a …
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Comparison between rule-based and data-driven natural language processing algorithms for Brazilian Portuguese speech synthesis
Due to the exponential growth in the use of computers, personal digital assistants and smartphones, the development of Text-to-Speech (TTS) systems have become highly demanded during the last years. An important part of these systems is the Text Analysis block, that converts the input text into …
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Reinforcement learning with natural language signals
… thesis we introduce a technique that allows one to use Natural Language as part of the state in Reinforcement Learning. We show that it is capable of solving Natural Language problems, similar to Sequence-to-Sequence models, but using multistage reasoning. We use Long Short-Term Memory Networks …
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Neural Sequence Modeling for Domain-Specific Language Processing: A Systematic Approach
In recent years, deep learning based sequence modeling (neural sequence modeling) techniques have made substantial progress in many tasks, including information retrieval, question answering, information extraction, machine translation, etc. Benefiting from the highly scalable attention-based …
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Attention-Based Encoder-Decoder Models for Speech Processing
… of machine perception. It covers a wide range of topics and plays an important role in many real-world applications. Many speech processing problems are modelled using sequence-to-sequence models. More recently, the Attention-Based Encoder-Decoder (AED) model has become a general and effective …