CustomEntityLookupSkill CustomEntityLookupSkillLanguage DataChangeDetectionPolicy DataDeletionDetectionPolicy DefaultCognitiveServicesAccount DictionaryDecompounderTokenFilter DistanceScoringFunction DistanceScoringParameters DocumentExtractionSkill EdgeNGramTokenFilter EdgeNGramTokenFilterSide EdgeNGramTokenizer ElisionTokenFilt...
PropertyValue Description Unique identifier of the user who created the record. DisplayName Created By IsValidForForm True IsValidForRead True LogicalName createdby RequiredLevel None Type Lookup Targets systemuserCreatedOnRozbaliť tabuľku PropertyValue Description Date and time when the record was...
The registry SHOULD provide a lookup service such as WHOIS [RFC3912] or RDAP [RFC9082] to provide public information about registered domain names. Decisions about DNS or registry best practices and other operational matters SHOULD be made by the CAA, ideally in consultation with local ...
注意您提到的x1c 0d1x中突出显示的部分 我觉得这个没有固定好。首先，端口应该是3306。我相信这是一个...
where ew(∙) and GE(∙) stands for the lexicon embedding lookup table and KG embedding lookup table. The nodes of RLG-word and RLG-concept are initialize by the context representation H, ew(∙) and GE(∙). We apply RGCN [33] to RLG-word and RLG-concept individually to encode ...
medical entity linking have been proposed (e.g., [43], [44]), the most frequently-used off-the-shelf tools [6], [3] for broad-coverage biomedical information extraction (as well as many recent hybrid models [45], [46], [47]) rely heavily on dictionary lookup and sub-string ...
The registry SHOULD provide a lookup service such as WHOIS [RFC3912] or RDAP [RFC9082] to provide public information about registered domain names. Decisions about DNS or registry best practices and other operational matters SHOULD be made by the CAA, ideally in consultation with local ...
PropertyValue Description Shows who created the record on behalf of another user. DisplayName Created By (Delegate) IsValidForForm True IsValidForRead True LogicalName createdonbehalfby RequiredLevel None Type Lookup Targets systemuserModifiedByRoz...
[43] introduced a deep neural network, named OMINer, for online medical entity recognition; they also pre-trained the word2vec on a large-scale corpus to produce a lookup table that can be used for Chinese online medicine query text. Besides, some works attempt to use CNN and BiLSTM to...
A candidate set 𝐶𝑎𝑛𝑑(𝑚𝑖)Cand(mi) according to the mention can be generated by surface form matching, dictionary lookup and prior probability. In this paper, entities whose 𝑢𝑠𝑒𝑟𝑁𝑎𝑚𝑒𝑠userNames contain a mention are considered candidate entities for this ...