公开(公告)号：US20170132529A1

公开(公告)日：2017-05-11

申请号：US15244965

申请日：2016-08-23

Applicant: INTEL CORPORATION

Inventor： Yimin Zhang ,  Joe F. Zhou

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/313 ,  G06F16/3344 ,  G06F16/81 ,  G06F16/94

Abstract: According to one embodiment of the invention, a method includes generating a person-name Information Gain (IG)-Tree and a relation IG-Tree from annotated data. The method also includes tagging and partial parsing of an input document. The names of the persons are extracted within the input document using the person-name IG-tree. Additionally, names of organizations are extracted within the input document. The method also includes extracting entity names that are not names of persons and organizations within the input document. Further, the relations between the identified entity names are extracted using the relation-IG-tree.

公开(公告)号：US09430742B2

公开(公告)日：2016-08-30

申请号：US14293898

申请日：2014-06-02

Applicant: INTEL CORPORATION

Inventor： Yimin Zhang ,  Joe F. Zhou

IPC: G06F17/30 ,  G06F7/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06F17/30014 ,  G06F17/30616 ,  G06F17/30684 ,  G06F17/30911

Abstract: According to one embodiment of the invention, a method includes generating a person-name Information Gain (IG)-Tree and a relation IG-Tree from annotated data. The method also includes tagging and partial parsing of an input document. The names of the persons are extracted within the input document using the person-name IG-tree. Additionally, names of organizations are extracted within the input document. The method also includes extracting entity names that are not names of persons and organizations within the input document. Further, the relations between the identified entity names are extracted using the relation-IG-tree.

Abstract translation: 根据本发明的一个实施例，一种方法包括从注释数据生成人名信息增益（IG）-Tree和关系IG-Tree。 该方法还包括对输入文档进行标记和部分解析。 使用人名IG-tree在输入文档中提取人员姓名。 另外，在输入文档中提取组织的名称。 该方法还包括提取不在输入文档内的人员和组织名称的实体名称。 此外，使用关系-G树提取所识别的实体名称之间的关系。