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Showing 1 to 6 of 6 for “"Open Information Extraction"”.

  1. Semantic pattern discovery in open information extraction

    Open information extraction (OpenIE) is a novel paradigm that produces structured information from unstructured text with minimum or no supervision. The task involves extracting relevant relation tuples or expressions from a text corpus. Existing methods in the domain tend to produce a large …

    uiuc Repository record for Semantic pattern discovery in open information extraction (opens in a new tab)

  2. Integrating local context and global cohesiveness for open information extraction

    … task for understanding massive text corpora. Open information extraction (IE) systems mine relation tuples (i.e., entity arguments and a predicate string to describe their relation) from sentences, and do not confine to a pre-defined schema for the relations of interests. However, current open

    uiuc Repository record for Integrating local context and global cohesiveness for open information extraction (opens in a new tab)

  3. From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction

    … of minimal propositions that benefits downstream Open Information Extraction (IE) tasks. To function well, the TS approach that we propose requires syntactically well-formed input sentences. It targets generalpurpose texts in English, such as newswire or Wikipedia articles, which commonly contain …

    passau-thes Repository record for From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction (opens in a new tab)

  4. Deep Assertion discovery using word embeddings

    … data increases in biomedical research. Many information extraction techniques like OpenIE, Ollie, ReVerb have been proposed to extract binary relations from plain text. The result of these techniques is triplets containing two argument phrases from the input text and a relation between these …

    umkc Repository record for Deep Assertion discovery using word embeddings (opens in a new tab)

  5. Advancing Information Extraction with Large Language Models: The Role of Structured Understanding in Knowledge Management and AI Safety

    Nowadays, most of the world’s information is produced in unstructured textual form. This vast amount of text represents an invaluable source of knowledge, yet it remains challenging for machines to interpret and transform into actionable insights. Information Extraction (IE) offers a promising …

    cagliari Repository record for Advancing Information Extraction with Large Language Models: The Role of Structured Understanding in Knowledge Management and AI Safety (opens in a new tab)

  6. Scientific knowledge extraction from massive text data

    … original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms

    uiuc Repository record for Scientific knowledge extraction from massive text data (opens in a new tab)