Global ETD Search
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Showing 1 to 7 of 7 for “"Semantic Relation"”.
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Applying semantic relation extraction to information retrieval
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Children's Responses to Grammatically Complete and Incomplete Prompts to Imitate
… were given 15 elicitive prompts to imitate a semantic relation that was either grammatically complete (e.g., Say the frog is jumping) or telegraphic (e.g., Say duck walking). Children's responses to the elicitive prompts that contained a semantic relation or a semantic relation with a function …
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Understanding and Interpreting Japanese NP1 WA NP2 DA Sentences: Mechanism and Contextual Factors
… The construction allows two possibilities in the relation between the NP1 and the NP2. When the two NPs are not syntactically connected (Type I), the sentence is generally vague, and a particular context is required to specify the meaning. When they are syntactically connected (Type II), they can …
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Automatically identifying facet roles from comparative structures to support biomedical text summarization
… of comparison as well as the result or the relationship that binds the entities and the basis. Only the sentences that contain each of the four facets are of interest in this thesis. With respect to the first compared entity, the system achieves an average F1 on a random sample of short …
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Domain-specific adaptation of large language models and integration with knowledge graph analytics for enhanced bridge maintenance decision making
… of six primary components: (1) an LLM-based semantic information extraction method for extracting information entities that describe bridge conditions and maintenance actions from bridge textual reports; (2) a low-rank adaptation (LoRA)-based finetuning method to efficiently adapt pretrained …
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Machine learning-based analytics of structured and unstructured data for enhanced bridge deterioration prediction
… knowledge ontology for facilitating semantic information and relation extraction from textual bridge inspection reports based on content and domain-specific meaning; (2) a semi-supervised machine learning-based semantic information extraction method for extracting information entities …
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Deep Learning Based Methods for Automatic Extraction of Syntactic Patterns and their Application for Knowledge Discovery
Semantic pairs, which consist of related entities or concepts, serve as the foundation for comprehending the meaning of language in both written and spoken forms. These pairs enable to grasp the nuances of relationships between words, phrases, or ideas, forming the basis for more advanced language …