This paper focuses on semantic knowledge acquisition from blogs with the proposed tag-topic model.The model extends the Latent Dirichlet Allocation(LDA) model by adding a tag layer between the document and the topic.E...This paper focuses on semantic knowledge acquisition from blogs with the proposed tag-topic model.The model extends the Latent Dirichlet Allocation(LDA) model by adding a tag layer between the document and the topic.Each document is represented by a mixture of tags;each tag is associated with a multinomial distribution over topics and each topic is associated with a multinomial distribution over words.After parameter estimation,the tags are used to describe the underlying topics.Thus the latent semantic knowledge within the topics could be represented explicitly.The tags are treated as concepts,and the top-N words from the top topics are selected as related words of the concepts.Then PMI-IR is employed to compute the relatedness between each tag-word pair and noisy words with low correlation removed to improve the quality of the semantic knowledge.Experiment results show that the proposed method can effectively capture semantic knowledge,especially the polyseme and synonym.展开更多
A series of diheterocyclic compounds containing 1,2,4-triazolo [1,5-a]pyrimidine and 1, 3,4-oxadiazole were designed and synthesized starting from 2-mercapto-5,7-dimethyl-1,2,4-triazolo[1,5-a]pyrimidine. The structure...A series of diheterocyclic compounds containing 1,2,4-triazolo [1,5-a]pyrimidine and 1, 3,4-oxadiazole were designed and synthesized starting from 2-mercapto-5,7-dimethyl-1,2,4-triazolo[1,5-a]pyrimidine. The structure of all compounds prepared were confirmed by H-1 NMR spectroscopy and elemental analysis. The preliminary bioassay indicated that the title compounds displayed good fungicidal activity against Rhizoctonia solani.展开更多
基金supported by the National Natural Science Foundation of China under Grants No.90920005,No.61003192the Key Project of Philosophy and Social Sciences Research,Ministry of Education under Grant No.08JZD0032+3 种基金the Program of Introducing Talents of Discipline to Universities under Grant No.B07042the Natural Science Foundation of Hubei Province under Grants No.2011CDA034,No.2009CDB145Chenguang Program of Wuhan Municipality under Grant No.201050231067the selfdetermined research funds of CCNU from the colleges' basic research and operation of MOE under Grants No.CCNU10A02009,No.CCNU10C01005
文摘This paper focuses on semantic knowledge acquisition from blogs with the proposed tag-topic model.The model extends the Latent Dirichlet Allocation(LDA) model by adding a tag layer between the document and the topic.Each document is represented by a mixture of tags;each tag is associated with a multinomial distribution over topics and each topic is associated with a multinomial distribution over words.After parameter estimation,the tags are used to describe the underlying topics.Thus the latent semantic knowledge within the topics could be represented explicitly.The tags are treated as concepts,and the top-N words from the top topics are selected as related words of the concepts.Then PMI-IR is employed to compute the relatedness between each tag-word pair and noisy words with low correlation removed to improve the quality of the semantic knowledge.Experiment results show that the proposed method can effectively capture semantic knowledge,especially the polyseme and synonym.
基金The project was supported by the NNSF of China (Grant No. 29802002) the NSF of Hubei Province the Dawn Plan of Science and Technology for Young Scientists of Wuhan City and Foundation for University Key Teacher by the Ministry of Education of China.
文摘A series of diheterocyclic compounds containing 1,2,4-triazolo [1,5-a]pyrimidine and 1, 3,4-oxadiazole were designed and synthesized starting from 2-mercapto-5,7-dimethyl-1,2,4-triazolo[1,5-a]pyrimidine. The structure of all compounds prepared were confirmed by H-1 NMR spectroscopy and elemental analysis. The preliminary bioassay indicated that the title compounds displayed good fungicidal activity against Rhizoctonia solani.
