VIP内容

根据《中国人工智能学会优秀博士学位论文评选条例》的规定,学会组织9位国内人工智能领域的知名专家成立优博评审委员会,由学会名誉理事长李德毅院士担任评审委员会主席,认真负责地对2020年度中国人工智能学会优秀博士学位论文评选入围终评的20篇论文进行了评审,经专家终审及三轮无记名投票,最终确定了10篇论文获优秀博士学位论文奖和4篇论文获优秀博士学位论文提名奖。现将2020年度中国人工智能学会优秀博士学位论文评选最终结果进行公示(见附表),公示期共15日(自2020年8月31日至9月14日)。

任何单位和个人如对公示的评审结果持有异议,请在9月14日24:00前实名向中国人工智能学会办公室提出,凡匿名异议不予受理。

地址: 北京市海淀区西土城路10号北京邮电大学教一楼122室 邮编: 100876 电话: 010-62281360 13121123883 邮箱:msc@caai.cn

成为VIP会员查看完整内容
0
20

最新内容

Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. However, due to poverty in both linguistic and economic capital, Sinhala, in the perspective of Natural Language Processing tools and research, remains a resource-poor language which has neither the economic drive its cousin English has nor the sheer push of the law of numbers a language such as Chinese has. A number of research groups from Sri Lanka have noticed this dearth and the resultant dire need for proper tools and research for Sinhala natural language processing. However, due to various reasons, these attempts seem to lack coordination and awareness of each other. The objective of this paper is to fill that gap of a comprehensive literature survey of the publicly available Sinhala natural language tools and research so that the researchers working in this field can better utilize contributions of their peers. As such, we shall be uploading this paper to arXiv and perpetually update it periodically to reflect the advances made in the field.

0
0
下载
预览

最新论文

Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. However, due to poverty in both linguistic and economic capital, Sinhala, in the perspective of Natural Language Processing tools and research, remains a resource-poor language which has neither the economic drive its cousin English has nor the sheer push of the law of numbers a language such as Chinese has. A number of research groups from Sri Lanka have noticed this dearth and the resultant dire need for proper tools and research for Sinhala natural language processing. However, due to various reasons, these attempts seem to lack coordination and awareness of each other. The objective of this paper is to fill that gap of a comprehensive literature survey of the publicly available Sinhala natural language tools and research so that the researchers working in this field can better utilize contributions of their peers. As such, we shall be uploading this paper to arXiv and perpetually update it periodically to reflect the advances made in the field.

0
0
下载
预览
Top