CoreNLP是斯坦福自然語言處理組開發的一款自然語言處理工具。CoreNLP可以解析文本，提取實體和關系等信息。在CoreNLP解析文本時，可以將解析結果以JSON數據格式進行輸出，其中構成樹結構的部分數據則是被許多研究者所關注的。

{
"sentences": [{
"index": 0,
"parse": "(ROOT (S (NP (PRP I)) (VP (VBP am) (NP (DT a) (NN robot))) (. .)))",
"basic-dependencies":[{
"dep": "ROOT",
"governor": 0,
"governorGloss": "ROOT",
"dependent": 1,
"dependentGloss": "I"
}, {
"dep": "am",
"governor": 1,
"governorGloss": "I",
"dependent": 2,
"dependentGloss": "robot"
}, {
"dep": "det",
"governor": 4,
"governorGloss": "robot",
"dependent": 3,
"dependentGloss": "a"
}, {
"dep": "nsubj",
"governor": 2,
"governorGloss": "robot",
"dependent": 1,
"dependentGloss": "I"
}, {
"dep": "dobj",
"governor": 2,
"governorGloss": "robot",
"dependent": 4,
"dependentGloss": "robot"
}, {
"dep": "punct",
"governor": 2,
"governorGloss": "robot",
"dependent": 5,
"dependentGloss": "."
}]
}]
}

以上就是一個簡單的CoreNLP解析文本后，輸出的樹形JSON數據。在這個例子中，我們可以看到CoreNLP解析的是一個簡單句子：“I am a robot.”，并將其解析成為一棵樹形結構。