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  1. No Access

    Article

    2SCE-4SL: a 2-stage causality extraction framework for scientific literature

    Extracting causality from scientific literature is a crucial task that underpins many downstream knowledge-driven applications. To this end, this paper presents a novel causality extraction framework for scien...

    Yujie Zhang, Rujiang Bai, Ling Kong, **aoyue Wang in Scientometrics (2023)

  2. No Access

    Chapter and Conference Paper

    Causal Discovery and Knowledge Linkage in Scientific Literature: A Case Study in Biomedicine

    [Motivation] Scientific literature is the main carrier to express innovation thinking, and the discovery of laws of knowledge from the literature is the necessary basis for scientific research to achieve innov...

    Yujie Zhang, Rujiang Bai, Qiming Chen… in Information for a Better World: Sha** th… (2022)

  3. No Access

    Chapter and Conference Paper

    A Quantitative Analysis of Semantic Information Retrieval Research Progress in China

    The main goal of this paper is to mine the research progress and fu ture trends in semantic information retrieval in China. Totally 550 papers about the semantic information retrieval papers were collected fro...

    **aoyue Wang, Rujiang Bai, Liyun Kang in Software Engineering, Business Continuity,… (2011)

  4. No Access

    Chapter and Conference Paper

    Using an Integrated Ontology Database to Categorize Web Pages

    As we know, current classification methods are mostly based on the VSM (Vector Space Model), which only accounts for term frequency in the documents, and ignores important semantic relationships between key te...

    Rujiang Bai, **aoyue Wang, Junhua Liao in Advances in Computer Science and Informati… (2010)

  5. No Access

    Chapter and Conference Paper

    Extract Semantic Information from WordNet to Improve Text Classification Performance

    Since a decade, text categorization has become an active field of research in the machine learning community. Most of the approaches are based on the term occurrence frequency. The performance of such surface-...

    Rujiang Bai, **aoyue Wang, Junhua Liao in Advances in Computer Science and Informati… (2010)

  6. No Access

    Chapter and Conference Paper

    Study on the Performance Support Vector Machine by Parameter Optimized

    With the quick increase of information and knowledge, automatically classifying text documents is becoming a hotspot of knowledge management. Standard machine learning techniques like support vector machines(S...

    Junhua Liao, Rujiang Bai in Advances in Software Engineering (2009)

  7. No Access

    Chapter and Conference Paper

    Building “Bag of Conception” Model Based on DBpedia

    Text classification has been widely used to assist users with the discovery of useful information from the Internet. However, Current text classification systems are based on the “Bag ofWords” (BOW) representa...

    Junhua Liao, Rujiang Bai in Advances in Software Engineering (2009)

  8. No Access

    Chapter and Conference Paper

    Combination of Rough Sets and Genetic Algorithms for Text Classification

    Automatic categorization of documents into pre-defined taxonomies is a crucial step in data mining and knowledge discovery. Standard machine learning techniques like support vector machines(SVM) and related la...

    Rujiang Bai, **aoyue Wang, Junhua Liao in Autonomous Intelligent Systems: Multi-Agen… (2007)

  9. No Access

    Chapter and Conference Paper

    Chinese Weblog Pages Classification Based on Folksonomy and Support Vector Machines

    For centuries, classification has been used to provide context and direction in any aspect of human knowledge. Standard machine learning techniques like support vector machines and related large margin methods...

    **aoyue Wang, Rujiang Bai, Junhua Liao in Autonomous Intelligent Systems: Multi-Agen… (2007)