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 “"natural language inference"”.
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Enhancing Natural Language Inference through Multi-Agent Deliberation
… a promising pathway to enhance the robustness of Natural Language Inference (NLI), a key task in semantic understanding. However, this thesis demonstrates that the benefits of collaboration are not guaranteed. The effectiveness of a multi-agent system is critically dependent on the architecture of …
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SYMBOLIC AND NEURAL APPROACHES TO NATURAL LANGUAGE INFERENCE
Natural Language Inference (NLI) is the task of predicting whether a hypothesis text is entailed (or can be inferred) from a given premise. For example, given the premise that two dogs are chasing a cat, it follows that some animals are moving, but it does not follow that every animal is sleeping. …
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Natural language inference : from textual entailment to conversation entailment
Thesis (Ph. D.)--Michigan State University. Department of Computer Science, 2010
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Neuro-Symbolic Methods for Natural Language Inference and Question Answering
… state-of-the-art performance on multiple natural language processing benchmarks, those black-box models can hardly provide explanations for their inner mechanisms. They still lack the ability to perform systematic reasoning like human beings and generalize poorly to out-of-distribution …
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Medical abstract inference dataset
… abstracts and their title. Medical Abstract Inference consists of 1,794 data points. Titles were filtered to include the abstract's reported medical intervention and clinical outcome. Data points were annotated with the interventions effect on the outcome. Resulting labels were one of the …
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Understanding language through visual imagination
This thesis introduces a multimodal approach to natural language understanding by presenting a generative language-vision model that can generate videos for sentences and a comprehensive approach for using this capability to solve natural language inference, video captioning and video completion …
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Combating fake news with adversarial domain adaptation and neural models
… (FEVER) [Thorne et al., 2018], and the Stanford Natural Language Inference (SNLI) [Bowman et al., 2015] datasets. Our experiments yielded a model which has state of the art performance on FNC target data by using FEVER source data coupled with adversarial domain adaptation [Xu et al., 2018].
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Information extraction with weak supervision
… DSRE-NLI, is introduced, which leverages a Natural Language Inference (NLI) engine and a Semi-Automatic Relation Verbalization (SARV) mechanism to diagnose and mitigate label noise in distantly supervised RE tasks. This method enhances the semantic diversity of relation templates with …
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Uncertainty Estimation on Natural Language Processing
… books, reports, and more. Consequently, Natural Language Processing (NLP) has garnered widespread attention. This technology empowers us to undertake tasks like text classification, entity recognition, and even crafting responses within a dialogue context. However, despite the expansive …