“Hulan-2014-10-17”版本间的差异
来自cslt Wiki
| 第14行： | 第14行： | ||
* Structure Knowledge from teacher wang | * Structure Knowledge from teacher wang | ||
:* Template information: | :* Template information: | ||
| − | ::* | + | ::* add the attribute to the template and answer.like 如何办理户口 -> {木里县}：具体咨询当地相关部门。 |
| − | + | :* Build Knowledge or computer representation | |
| − | + | ::* the tree of knowledge representation. currently represention may include the ontology of knowledge in specific(like triples),the strong relation of freebase. | |
| − | * | + | :* transform of static knowledge and dynamic knowledge |
| − | :* | + | ::* answer select using node of knowledge ,like 我该怎么办理户口呢" -> [户口] [办理] -> answer."我该怎么办理户口呢,具体流程是什么" -> [户口] [办理] [流程]-> answer. |
| − | :* | + | ::* some others. |
| − | + | * convert customer data to our data(like nanshandata) | |
| − | : | + | :* answer classification |
| − | :* | + | :* question classification |
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2014年10月17日 (五) 08:22的最后版本
Dialog system
plan to be done
- Spell mistake : xingchao
- using ngram to get candidate sentence.
- order problem : liurong
- add vsm and BM25 to strengthen the ability of search.
- Synonyms word to extract information.like "办理"->"办"，“办理”
- the good IDF to suit the government domain.may the word important from Sogou search.
- tag
plan to discuss
- Structured Knowledge from duxingkai
- template structure :{本体类}-{范围，限定}-{动作}：{户口}-{木里县，残疾人}-{办理，补办}，办理项模板：{办理流程，如何办理}
- knowledge map: ontology , instance and action. it is to presented to the user.
- Structure Knowledge from teacher wang
- Template information:
- add the attribute to the template and answer.like 如何办理户口 -> {木里县}：具体咨询当地相关部门。
- Build Knowledge or computer representation
- the tree of knowledge representation. currently represention may include the ontology of knowledge in specific(like triples),the strong relation of freebase.
- transform of static knowledge and dynamic knowledge
- answer select using node of knowledge ,like 我该怎么办理户口呢" -> [户口] [办理] -> answer."我该怎么办理户口呢,具体流程是什么" -> [户口] [办理] [流程]-> answer.
- some others.
- convert customer data to our data(like nanshandata)
- answer classification
- question classification
