Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014: Overview

Ruifeng Xu; Shuai Wang; Feng Shi; Jian Xu

Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014: Overview

Ruifeng Xu
, Shuai Wang
, Feng Shi
, Jian Xu

Harbin Institute of Technology Shenzhen
Hong Kong Polytechnic University

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents the overview of Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014. Personal attribute extraction plays an important role in information extraction, event tracking, entity disambiguation and other related research areas. This task is designed to evaluate the techniques for extracting person specific attributes from unstructured Chinese texts, which is similar to slot filling, but focuses on person attributes. This task brings some challenges issues because Chinese language contains some common words and lacks of capital clues as in English. The task organizer manually constructs the query names and corresponding documents. The value/presence of the texts corresponding 25 pre-defined attributes are annotated to construct the training and testing dataset. The bakeoff results achieved by the participators show the good progress in this field.

Original language	English
Pages	108-113
Number of pages	6
State	Published - 2014
Externally published	Yes
Event	3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2014 - Wuhan, China Duration: 20 Oct 2014 → 21 Oct 2014

Conference

Conference	3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2014
Country/Territory	China
City	Wuhan
Period	20/10/14 → 21/10/14

Cite this

@conference{b239085bbecb482d9edf7e6c129ac2fd,

title = "Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014: Overview",

abstract = "This paper presents the overview of Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014. Personal attribute extraction plays an important role in information extraction, event tracking, entity disambiguation and other related research areas. This task is designed to evaluate the techniques for extracting person specific attributes from unstructured Chinese texts, which is similar to slot filling, but focuses on person attributes. This task brings some challenges issues because Chinese language contains some common words and lacks of capital clues as in English. The task organizer manually constructs the query names and corresponding documents. The value/presence of the texts corresponding 25 pre-defined attributes are annotated to construct the training and testing dataset. The bakeoff results achieved by the participators show the good progress in this field.",

author = "Ruifeng Xu and Shuai Wang and Feng Shi and Jian Xu",

note = "Publisher Copyright: {\textcopyright} 2014 CLP 2014 - 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All rights reserved.; 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2014 ; Conference date: 20-10-2014 Through 21-10-2014",

year = "2014",

language = "英语",

pages = "108--113",

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T2 - 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2014

AU - Xu, Ruifeng

AU - Wang, Shuai

AU - Shi, Feng

AU - Xu, Jian

PY - 2014

Y1 - 2014

N2 - This paper presents the overview of Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014. Personal attribute extraction plays an important role in information extraction, event tracking, entity disambiguation and other related research areas. This task is designed to evaluate the techniques for extracting person specific attributes from unstructured Chinese texts, which is similar to slot filling, but focuses on person attributes. This task brings some challenges issues because Chinese language contains some common words and lacks of capital clues as in English. The task organizer manually constructs the query names and corresponding documents. The value/presence of the texts corresponding 25 pre-defined attributes are annotated to construct the training and testing dataset. The bakeoff results achieved by the participators show the good progress in this field.

AB - This paper presents the overview of Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014. Personal attribute extraction plays an important role in information extraction, event tracking, entity disambiguation and other related research areas. This task is designed to evaluate the techniques for extracting person specific attributes from unstructured Chinese texts, which is similar to slot filling, but focuses on person attributes. This task brings some challenges issues because Chinese language contains some common words and lacks of capital clues as in English. The task organizer manually constructs the query names and corresponding documents. The value/presence of the texts corresponding 25 pre-defined attributes are annotated to construct the training and testing dataset. The bakeoff results achieved by the participators show the good progress in this field.

UR - https://www.scopus.com/pages/publications/85123722642

M3 - 论文

AN - SCOPUS:85123722642

SP - 108

EP - 113

Y2 - 20 October 2014 through 21 October 2014

ER -

Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014: Overview

Abstract

Conference

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