graviti logoProductOpen DatasetsAbout
Request DemoSign in
148
0
0
NLPCC2016
General
Discussion
Code
Activities
c77e92de-8cd1-11eb-88ae-0e1f58d5e9a9
4857482·
Jun 24, 2021 3:08 AM
·1Commits

Overview

Word is the fundamental unit in natural language understanding. However, Chinese sentences consists of the continuous Chinese characters without natural delimiters. Therefore, Chinese word segmentation has become the first mission of Chinese natural language processing, which identifies the sequence of words in a sentence and marks the boundaries between words.

Different with the popular used news dataset, we use more informal texts from Sina Weibo. The training and test data consist of micro-blogs from various topics, such as finance, sports, entertainment, and so on.

Data Collection

The data are collected from Sina Weibo. Both the training and test files are UTF-8 encoded. Besides the training data, we also provide the background data, from which the training and test data are drawn. The purpose of providing the background data is to find the more sophisticated features by the unsupervised way.

Citation

@InProceedings{qiu2016overview,
  Title                    = {Overview of the {NLPCC-ICCPOL} 2016 Shared Task: Chinese Word
Segmentation for Micro-blog Texts},
  Author                   = {Xipeng Qiu and Peng Qian and Zhan Shi},
  Booktitle                = {Proceedings of The Fifth
Conference on Natural Language Processing and Chinese Computing \& The Twenty Fourth
International Conference on Computer Processing of Oriental Languages},
  Year                     = {2016}
}
🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosNot Available
AnnotationsNot Available
TasksNot Available
LicenseCustom
Updated on2021-01-20 04:42:17
Metadata
Data TypeNot Available
Data Volume0
Annotation Amount0
File Size0B
Copyright Owner
NLP Group at Fudan University
Annotator
Unknown
More Support Options
Start building your AI now
Get StartedContact