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 20 of 126 for “"Language Understanding"”.
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Knowledge acquisition for natural language understanding
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01
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Deep Learning for Natural Language Understanding and Summarization
L'abstract è presente nell'allegato / the abstract is in the attachment
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Improving Natural Language Understanding via Contrastive Learning Methods
<p>Natural language understanding (NLU) is an essential but challenging task in Natural Language Processing (NLP), aiming to automatically extract and understand the semantic information from raw text or voice data. Among the previous NLU solutions, representation learning methods have recently …
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Data-Driven Language Understanding for Spoken Dialogue Systems
… dialogue system pipeline: the one in charge of language understanding. The role of this module is to translate user inputs into accurate representations of the user goal in the form that can be used by the system to interact with the underlying application. The challenges include the modelling …
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Spoken Language Understanding in an Intelligent Tutoring Scenario
Moreover, this study tries to acknowledge the role of speech in SLU. The existing semantic analysis of speech is usually achieved through text transcription. However, human interpretation of speech and text is via different channels. We admit the role of text in semantic analysis, but we also …
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Spoken language understanding in a nutrition dialogue system
… approach to diet tracking that utilizes speech understanding and dialogue technology in order to enable efficient self-assessment of energy and nutrient consumption. We are interested in studying whether speech can lower user workload compared to existing self-assessment methods, whether spoken …
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Neural attentions for natural language understanding and modeling
… attention mechanisms for improving natural language representation learning, a fundamental concept for modern natural language processing. With the proposed attention algorithms, our model made significant improvements in both language modeling and natural language understanding tasks. We …
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Spoken Language Understanding: from Spoken Utterances to Semantic Structures
… there have been several projects on Spoken Language Understanding (SLU). In the early nineties DARPA ATIS project aimed at providing a natural language interface to a travel information database. Following the ATIS project, DARPA Communicator project aimed at building a spoken dialog system …
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Natural Language Understanding and Generation for Task-Oriented Dialogue
… due to both the inherent complexity of human language and task difficulty. Moreover, building such systems usually relies on large amounts of data with fine-grained annotations, and in many situations, it is difficult to obtain such data. It is thus important for dialogue systems to learn …
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Utterance verification in large vocabulary spoken language understanding system
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding
In this thesis we introduce conditional neural language models based on log-bilinear and recurrent neural networks with applications to multimodal learning and natural language understanding. We first introduce a LSTM encoder for learning visual-semantic embeddings for ranking the relevance of text …
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Enhancing Legal Document Processing through Natural Language Understanding and Generation techniques
L'abstract è presente nell'allegato / the abstract is in the attachment
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A Knowledge Graph based Method on Language Understanding for Customer Service
<p>Understanding on customer service with comprehensive information has become attracted in recent years due to its importance to business and consumers. Traditional method, which collect questionnaires in paper-format from consumers, is considered to inefficient and time-consuming. As Natural …
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Incorporating non-verbal modalities in spoken language understanding for multimodal conversational systems
Thesis (Ph. D.)--Michigan State University. Computer Science, 2009
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Representation learning of natural language and its application to language understanding and generation
How to properly represent language is a crucial and fundamental problem in Natural Language Processing (NLP). Language representation learning aims to encode rich information such as the syntax and semantics of the language into dense vectors. It facilitates the modeling, manipulation and analysis …
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The Cartographic Representation of Language: Understanding language map construction and visualizing language diversity
Language maps provide illustrations of linguistic and cultural diversity and distribution, appearing in outlets ranging from textbooks and news articles to websites and wall maps. They are valuable visual aids that accompany discussions of our cultural climate. Despite the prevalent use of language …
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Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding
… Extraction (IE) tools rely on accurate understanding of text and struggle with the noisy and informal nature of social media due to high out-of-vocabulary (OOV) word rates. In this work, we design a social media text normalization hybrid word-character attention-based encoder-decoder …
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Disabled person's control, communication and entertainment aid: an investigation of the feasibility of using speech control and natural language understanding to control a manipulator and a software application and development environment
… problems of applying speech control and natural language understanding techniques to the use of a computer by a physically disabled person. Solutions are proposed for the overcoming of some of the difficulties and limitations of the available equipment, and guidance given for the application of …
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The affordance-based concept
Natural language use relies on situational context. The meaning of words and utterances depend on the physical environment and the goals and plans of communication partners. These facts should be central to theories of language and automatic language understanding systems. Instead, they are often …
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