METHOD AND SYSTEM FOR AUTOMATED SEMANTIC PARSING FROM NATURAL LANGUAGE TEXT

    公开(公告)号:MY175942A

    公开(公告)日:2020-07-16

    申请号:MYPI2014003046

    申请日:2014-10-27

    Applicant: MIMOS BERHAD

    Abstract: The present invention discloses semantic parsing method for use in natural language processing of an input; the method comprising: performing an entity recognition for extraction of at least one entity (102); performing a coreference resolution to resolve referents (103); and performing a semantic analysis (104) to generate semantic structures. In one embodiment, the semantic analysis (104) comprises: performing a semantic pre-processing (104A) for deriving at least one main root verb for retrieval of at least one corresponding linguistic structure and; performing semantic filtering (1048) for selecting the best linguistic structure and merging of semantic structure to represent the input.

    METHOD FOR AUTOMATIC DIAGRAMMATIC QUESTION GENERATION AND ANSWER ASSESSMENT

    公开(公告)号:MY190013A

    公开(公告)日:2022-03-22

    申请号:MYPI2014003549

    申请日:2014-12-22

    Applicant: MIMOS BERHAD

    Abstract: The present invention discloses a method for diagrammatic question generation and answer assessment. The method includes providing at least one topic and at least one question based on the topic (100), providing at least one range of a question difficulty level (QDL) (100) and a question mode. proportioning question difficulty type (QDT) based on the range of question difficulty level (101), selecting at least one question template based on the proportioned question difficulty type (QDT) and question difficulty level (QDL) (105), and generating a question based on the selected template (106). In one embodiment, the question mode includes questions in the form of diagrammatic multiple- choice type (DMCQ) and/or hand drawing diagrammatic type (HDDQ). (Figure 1)

    SYSTEM AND METHOD FOR COREFERENCE RESOLUTION

    公开(公告)号:MY175932A

    公开(公告)日:2020-07-15

    申请号:MYPI2014003298

    申请日:2014-11-25

    Applicant: MIMOS BERHAD

    Abstract: A method and system (1000) for coreference resolution is disclosed. The system and method comprises of performing tokenization and segmentation (103) to extract one or more sentences from a set of text documents (114); parsing said one or more sentence to retrieve syntax information; removing non-salient words from said one or more sentence; extracting salient words (106) from said one or more sentence; and resolving referents (113) to their corresponding extracted salient word noun antecedents or precedents.

    A SEMANTIC ORGANIZATION AND RETRIEVAL SYSTEM AND METHODS THEREOF

    公开(公告)号:MY159332A

    公开(公告)日:2016-12-30

    申请号:MYPI2010000435

    申请日:2010-01-27

    Applicant: MIMOS BERHAD

    Abstract: A SEMANTIC ORGANIZATION AND RETRIEVAL SYSTEM (100,200) OF TEXT BASED WEB ARTIFACTS IS PROVIDED, THE SYSTEM (100,200) INCLUDES A KNOWLEDGE BASE (126), A PLURALITY OF SEMANTIC PROCESSORS CONNECTABLE TO THE KNOWLEDGE BASE (126), A SEMANTIC ORGANIZER (110) CONNECTABLE TO THE PLURALITY OF SEMANTIC PROCESSORS AND A SEMANTIC RETRIEVER (210) CONNECTABLE TO THE PLURALITY OF SEMANTIC PROCESSORS. THE MOST ILLUSTRATIVE DRAWING:

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