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Semi-Automatic Domain Ontology Creation from Text Resources
TLDR
We present a generalized and improved procedure to automatically extract deep semantic information from text resources and rapidly create semantically-rich domain ontologies while keeping the manual intervention to a minimum. Expand
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K-Extractor: Automatic Knowledge Extraction for Hybrid Question Answering
TLDR
This paper describes an approach to integrate unstructured and structured data and provide a natural language query interface to the consolidated knowledge base. Expand
  • 5
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N-Best List Reranking using Higher Level Phonetic, Lexical, Syntactic and Semantic Knowledge Sources
TLDR
This paper presents a novel methodology to improve large vocabulary continuous speech recognizer (LVCSR) hypotheses using additional phonetic, lexical, syntactic and semantic knowledge. Expand
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Knowledge extraction for literature review
TLDR
We present a semantic-driven system to automatically extract the most important knowledge from biomedical papers in PubMed, populates a predefined template and displays it. Expand
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Automatic Extraction of Actionable Knowledge
TLDR
We describe K-Extractor, a powerful NLP framework that provides integrated and seamless access to structured and unstructured information with minimal effort. Expand
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A Semantic Question Answering Framework for Large Data Sets
TLDR
We propose a purely semantic question answering (QA) framework for large document collections. Expand
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Automatic Ontology Creation from Text for National Intelligence Priorities Framework (NIPF)
TLDR
We use Jaguar-KAT, a state-of-the-art tool for knowledge acquisition and domain understanding, with minimized manual intervention to create NIPF ontologies loaded with rich semantic content. Expand
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Automatic creation and tuning of context free grammars for interactive voice response systems
TLDR
An AUTOCFGPROCESSOR procedure to automatically create and tune context free grammars (CFGs) for directed dialog speech applications without the use of any domain specific text corpora. Expand
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Automatic Building of Semantically Rich Domain Models from Unstructured Data
TLDR
The availability of massive amounts of raw domain data has created an urgent need for sophisticated AI systems with capabilities to find complex and useful information in big-data repositories. Expand
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