Overview of NLPCC 2018 Shared Task 1:Emotion Detection in Code-Switching Text
This paper presents the overview of the shared task,emotion detection in code-switching text,in NLPCC 2018.The submitted systems are expected to automatically determine the emotions in the Chinese-English codeswitching text.Different from monolingual text,code-switching text contains more than one language,and the emotion can be expressed by either monolingual or bilingual form.Hence,the challenges are: how to integrate both monolingual and bilingual forms to detect emotion,and how to bridge the gap to between two languages.Our shared task has 19 team participants.The highest Fscore was 0.515.In this paper,we introduce the task,the corpus,the participating teams,and the evaluation results.
Emotion detection Code-switching text Annotation and evaluation
Zhongqing Wang Shoushan Li Fan Wu Qingying Sun Guodong Zhou
Natural Language Processing Lab,Soochow University,Suzhou,China
国际会议
2018自然语言处理与中文计算国际会议(NLPCC2018)
呼和浩特
英文
429-433
2018-08-26（万方平台首次上网日期，不代表论文的发表时间）