Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization

June 09, 2017 · Entered Twilight · 🏛 Natural Language Processing and Chinese Computing

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Repo contents: .gitignore, Config.py, NewsTitleDataset.pdf, README.md, TfUtils.py, all_data, core_rnn_cell_impl.py, helper.py, model.py, nlpcc_data.tar.gz, quick_run.sh, savings, test.full, test

Authors Xipeng Qiu, Jingjing Gong, Xuanjing Huang arXiv ID 1706.02883 Category cs.CL: Computation & Language Citations 14 Venue Natural Language Processing and Chinese Computing Repository https://github.com/FudanNLP/nlpcc2017_news_headline_categorization ⭐ 115 Last Checked 1 month ago

Abstract

In this paper, we give an overview for the shared task at the CCF Conference on Natural Language Processing \& Chinese Computing (NLPCC 2017): Chinese News Headline Categorization. The dataset of this shared task consists 18 classes, 12,000 short texts along with corresponded labels for each class. The dataset and example code can be accessed at https://github.com/FudanNLP/nlpcc2017_news_headline_categorization.