图 书 馆
基于语义图的问答Question Answering Based on Semantic Graphs |
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| 课程网址: | http://videolectures.net/semsearch09_dalirusu_qabsg/ |
| 主讲教师: | Lorand Dali; Delia Rusu; BlažFortuna; Dunja Mladinić; Marko Grobelnik |
| 开课单位: | Jožef Stefan研究所人工智能实验室 |
| 开课时间: | 2009-05-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper we present a question answering system supported by semantic graphs. Aside from providing answers to natural language questions, the system offers explanations for these answers via a visual representation of documents, their associated list of facts described by subject – verb – object triplets, and their summaries. The triplets, automatically extracted from the Penn Treebank parse tree obtained for each sentence in the document collection, can be searched, and we have implemented a question answering system to serve as a natural language interface to this search. The vocabulary of questions is general because it is not limited to a specific domain, however the questions's grammatical structure is restricted to a predetermined template because our system can understand only a limited number of question types. The answers are retrieved from the set of facts, and they are supported by sentences and their corresponding document. The document overview, comprising the semantic representation of the document generated in the form of a semantic graph, the list of facts it contains and its automatically derived summary, offers an explanation to each answer. The extracted triplets are further refined by assigning the corresponding co referenced named entity, by resolving pronominal anaphors, as well as attaching the associated WordNet synset. The semantic graph belonging to the document is developed based on the enhanced triplets while the document summary is automatically generated from the semantic description of the document and the extracted facts. |
| 关 键 词: | 自然语言; 解析代词; 语义描述 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-24：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 39 |