公开(公告)号：MY181677A

公开(公告)日：2020-12-31

申请号：MYPI2014701129

申请日：2014-05-05

Applicant: MIMOS BERHAD

Inventor： BENJAMIN CHU MIN XIAN ,  SIMON LIU QIANG ,  DICKSON LUKOSE

Abstract: The present invention relates to a system (1000) and method for generating knowledge base (111) automatically from structured and unstructured texts. The system (1000) which generates a knowledge base (111) automatically from natural language texts, comprises of a Knowledge Base Generator (100) which utilises a Linked Data (LD) (108); a Linguistic Resource (LR) (109); and an Extraction Patterns component (110) to support a series of process and techniques for the Knowledge Base Generator (100). The Knowledge Base Generator (100) further comprises a Concept Pruning component (101), a Concept Taxonomy Derivation component (102), a Property Taxonomy Derivation component (103), an Individuals Identification component (104), a Generic Relation Extraction component (105), a Semantic Relation Discovery component (106) and a Resolution component (107). FIG. 1

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

Inventor： BENJAMIN CHU ,  SIMON LIU QIANG ,  DR DICKSON LUKOSE

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.

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

Inventor： BENJAMIN CHU MIN XIAN ,  DR DICKSON LUKOSE ,  SIMON LIU QIANG

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.