摘要
计算话语学是随着人工智能的不断发展而提出的概念,是用可计算的形式抽象描写出话语意义的操作模型,它涉及话语分析,认知语言学和自然语言处理等领域,是人工智能研究的重要课题,也是话语语言学发展的必然要求。计算话语学研究的内容包括针对话语概念意义求解的主题计算和针对人际意义求解的话语评价计算。话语计算可通过基于规则的方法,基于语料库统计的方法,基于神经网络的方法,基于语义关系的知识图谱等方法实现。
Computational textlinguistics is a new concept developed with the progress of Natural Language Processing,which focuses on extracting operational models from utterances,involving in textlinguistics, cognitive linguistics and NLP,etc. Computational textlinguistics is an important research subject and an inevitable echo to the development of textlinguistics. Its research content involves both discourse topic calculation based on ideational meanings and sentiment calculation based on interpersonal meanings. Its methodology mainly includes the rule - based method,corpus driven method, artificial neural networks and knowledge graph.
作者
李佐文
严玲
LI Zuowen;YAN Ling(School of International Studies,Communication University of China,Beijing 10024,China)
出处
《山东外语教学》
2018年第6期24-32,共9页
Shandong Foreign Language Teaching
基金
国家社科基金一般项目"面向自然语言处理的话语连贯研究"(项目编号:14BYY095)
中国传媒大学"高精尖"项目"面向人工智能的话语意义计算研究"(项目编号:CUC18A005-1)的阶段性成果
关键词
计算话语学
主题
连贯
情感分析
神经网络
知识图谱
Computational Textlinguistics
topic
coherence
sentiment analysis
artificial neural networks
knowledge graph
