Nlp 为什么不是'；Ctakes能够识别：'；结直肠癌&x27；尽管使用了'；ContextDependentTokenizerNotator'；？

Ctakes能够识别‘肺癌’、‘基底细胞癌’等等——也就是说，它提供了一个正确的SNOMED UMLS标识符。但如果这句话包含结直肠癌，它只会返回“恶性肿瘤”

我尝试过使用不同窗口大小的NeContextsSubPipe，并使用ContextDependentTokenizerNotator；但Ctakes从未识别出“结直肠癌”

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// Load a simple token processing pipeline from another pipeline file
load DefaultTokenizerPipeline.piper

// Add non-core annotators
add ContextDependentTokenizerAnnotator
// The POSTagger has a -complex- startup, but it can create its own description to handle it
addDescription POSTagger

//addDescription LvgAnnotator
addDescription ThreadSafeLvg

add DefaultJCasTermAnnotator

// Add Named Entity Context Entity Attribute annotators
load NeContextsSubPipe.piper

// Collect discovered Entity information for post-run access
collectEntities