公开(公告)号：WO2015047074A1

公开(公告)日：2015-04-02

申请号：PCT/MY2014/000126

申请日：2014-05-28

Applicant: MIMOS BERHAD

Inventor： JASBEER SINGH ATMA, Singh ,  CHU IN XIAN, Benjamin ,  DICKSON, Lukose ,  LIU, Qiang

IPC: G09B7/08

CPC classification number: G09B7/08

Abstract: The present invention relates to a system and method for creating a Learning Object (LO) from a document. Particularly, the system (100) automatically generates the LO at sentence level, paragraph level and topic level in different modalities such as text, image, audio and video. The system (100) comprises a mapper (130), a ranker (140) and a Learning Object Builder (150). The method for creating a Learning Object from a document includes the steps of analysing and processing a document received from a user, matching a retrieved semantic structure by sentence index with a semantic structure from a multimedia repository (120) by the mapper (130), selecting and ranking projected graphs for each type of multimedia by the ranker (140) and producing the Sentence Learning Object, Paragraph Learning Object and Topic Learning Object by the Learning Object Builder (150).

Abstract translation: 本发明涉及一种用于从文档创建学习对象（LO）的系统和方法。 特别地，系统（100）以文本，图像，音频和视频等不同模式自动生成句子级别，段落级别和主题级别的LO。 系统（100）包括映射器（130），游标者（140）和学习对象生成器（150）。 用于从文档创建学习对象的方法包括以下步骤：分析和处理从用户接收的文档，通过语法结构将所检索的语义结构与来自多媒体存储库（120）的语义结构通过映射器（130）匹配， （140）选择和排列每种类型的多媒体的投影图，并由学习对象生成器（150）生成句子学习对象，段落学习对象和主题学习对象。

公开(公告)号：WO2015080561A1

公开(公告)日：2015-06-04

申请号：PCT/MY2014/000175

申请日：2014-06-02

Applicant: MIMOS BERHAD

Inventor： BENJAMIN, Chu Min Xian ,  LIU, Qiang ,  KHALIL, Ben Mohamed ,  DICKSON, Lukose ,  TOCHTERMANN, Klaus

IPC: G06F17/27 ,  G06F17/30

CPC classification number: G06F17/2785 ,  G06F17/30731

Abstract: The present invention provides a system (100) for discovering relations between texts in sentence of a machine-readable document. The system comprises a text preprocessor (101) and a relation discovery module (102). The text preprocessor (101) processes the documents to identify and extract entities, noun phrases and verb from therefrom. The relation discovery module (102) discovers the relation through a generic and semantic relation extraction for unstructured and structured texts to resolves intra-sentential and inter-sentential contexts.

Abstract translation: 本发明提供一种用于发现机器可读文件中的文本之间的关系的系统（100）。 该系统包括文本预处理器（101）和关系发现模块（102）。 文本预处理器（101）处理文档以从中识别和提取实体，名词短语和动词。 关系发现模块（102）通过用于非结构化和结构化文本的通用和语义关系提取来发现关系，以解决内部和内部语境。

公开(公告)号：WO2016105182A1

公开(公告)日：2016-06-30

申请号：PCT/MY2015/050058

申请日：2015-06-16

Applicant: MIMOS BERHAD

Inventor： LIU, Qiang ,  CHU, Min Xian, Benjamin ,  LUKOSE, Dickson ,  BOUZEKRI, Khalil

IPC: G09B7/00

CPC classification number: G09B7/06

Abstract: Automated 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).

Abstract translation: 自动化的图形问题生成和回答评估方法。 该方法包括基于主题（100）提供至少一个主题和至少一个问题，提供问题难度级别（QDL）（100）和问题模式的至少一个范围，基于比例的问题难度类型（QDT） 在问题难度级别（101）的范围内，基于比例问题难度类型（QDT）和问题难度级别（QDL）（105）选择至少一个问题模板，并且基于所选择的模板生成问题（106） 。 在一个实施例中，问题模式包括以图解多选类型（DMCQ）和/或手绘图示型（HDDQ）的形式的问题。