[1]唐 琴,宋 锐,林鸿飞.基于Chunk-CRF的情感问答研究[J].智能系统学报,2008,3(6):504-510.
TANG Qin,SONG Rui,LIN Hong-fei.Research on emotional question answering based on Chunk-CRF[J].CAAI Transactions on Intelligent Systems,2008,3(6):504-510.
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TANG Qin,SONG Rui,LIN Hong-fei.Research on emotional question answering based on Chunk-CRF[J].CAAI Transactions on Intelligent Systems,2008,3(6):504-510.
基于Chunk-CRF的情感问答研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
3
期数:
2008年第6期
页码:
504-510
栏目:
学术论文—自然语言处理与理解
出版日期:
2008-12-25
- Title:
- Research on emotional question answering based on Chunk-CRF
- 文章编号:
- 1673-4785(2008)06-0504-07
- Keywords:
- factual question answering; emotional QA; Chunk-CRF; HowNet
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 相对于事实性问答系统而言，观点或情感问答系统的研究除了需要考虑观点持有者及情感倾向性等与情感相关问题以外，其难点还在于答案形式更复杂更分散.从百度知道人工搜集了大量的情感问题，并根据情感问题的特征，统计并归纳了五大情感问题类型.问题分类模式与传统事实性问答系统不同，不能仅仅根据疑问词对其进行分类，还需要考虑到观点以及受众的反应.问题分类使用基于Chunk的CRF模型与规则相结合的情感问题分类方法.在答案抽取时结合组块识别的结果和情感的倾向性，并根据情感问题类型的不同采取不同的方法以获取答案.实验结果表明了评价体系的有效性.
- Abstract:
- Emotional question answering analyses opinions, polarity, and other factors related to sentiment analysis. Evaluations are complex compared to those for responses to factual questions. A great number of emotional questions were collected from the internet, and a chunk conditional random field (CRF) model and heuristic rules were applied to classify them into five types based on the emotional features of the questions. This classification method is different from the factual question classification method, which is mainly based on interrogative words, as it has to take the opinions and responses from users into account. Combined with polarity and recognition results from Chunk-CRF, different answers were extracted according to different question types. The experiment shows that this evaluation system for emotional question answering is effective and efficient.
- 参考文献/References:
-
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备注/Memo
收稿日期：2008-05-26.
基金项目：国家自然科学基金资助项目（60373095，60673039）；国家863高科技计划资助项目（2006AA01Z151）；教育部留学人员归国科研启动基金资助项目（教外司留［2007］1108）.
作者简介：
唐??? 琴，女，1982年生，硕士研究生，主要研究方向为问答系统和自然语言处理.
宋??? 锐，男，1984年生，硕士研究生，主要研究方向为情感计算和自动文摘.
林鸿飞，男，1962生，教授，博士生导师，现任《中文信息学报》编委，中文信息学会理事，中国中文信息学会信息检索专业委员会委员，中国人工智能学会离散数学专业委员会副主任，中国人工智能学会机器学习专业委员会委员.主要研究方向为搜索引擎、文本挖掘、情感计算和自然语言理解.主持多项国家自然科学基金和863项目.发表学术论文100余篇.
更新日期/Last Update:
2009-04-03