Abstract: In natural language, negation is a common and complex phenomenon, it can inverse the truth value of proposition, the polarity of sentiments and attitude, the position of opinion and so on. Negation recognition plays an important role in many fields such as information retrieval, sentiment analysis, text mining, information extraction. It also has a positive effect on a further step towards text understanding. A survey of negation recognition is analyzed. This paper mainly introduces the framework of negation recognition task, and elaborates the solution of the task that includes three subtasks：negation cues detection, negation scope resolution and negation focus detection. Finally the problems of the current research and the future work directions are pointed out.

Key words: negation, cues detection, scope resolution, focus detection

摘要： 自然语言中否定是一个普遍且复杂的现象，其能反转命题的真值、情感及态度的极性、观点的立场等。否定信息识别不仅在信息检索、情感分析、文本挖掘、信息抽取等领域中具有重要意义，也对文本的深层语义理解具有促进作用。对否定信息识别研究进行了深入分析，介绍了否定信息识别的任务框架，并对否定触发词检测、否定覆盖域界定、否定焦点识别三个子任务的解决思路及方法进行了详细阐述，最后总结并指出了否定信息识别研究中存在的问题及新方向。

关键词: 否定信息, 触发词检测, 覆盖域界定, 焦点识别