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

摘要

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.