無法使用 kb.get_candidates 檢索任何候選人

Question

我創建了一個像這樣的 csv 文件：

"CAMERA", "Camera", "kamera", "cam", "Kamera"
"PICTURE", "Picture", "bild", "photograph"

並使用它有點像這樣：

nlp = de_core_news_sm.load()
text = "Cam is not good"
doc = nlp(text)

name_dict, desc_dict = load_entities()

kb = KnowledgeBase(vocab=nlp.vocab, entity_vector_length=96)

for qid, desc in desc_dict.items():
    desc_doc = nlp(desc)
    desc_enc = desc_doc.vector
    kb.add_entity(entity=qid, entity_vector=desc_enc, freq=342)  # 342 is an arbitrary value here

for qid, name in name_dict.items():
        kb.add_alias(alias=name, entities=[qid], probabilities=[1])  # 100% prior probability P(entity|alias)

打印值如下：

print(f"Entities in the KB: {kb.get_entity_strings()}")
print(f"Aliases in the KB: {kb.get_alias_strings()}")

給我：

Entities in the KB: ['PICTURE', 'CAMERA']
Aliases in the KB: [' "Camera"', ' "Picture"']

但是，如果我嘗試檢查候選人，我只會得到一個空列表：

candidates = kb.get_candidates("Camera")
print(candidates)
for c in candidates:
    print(" ", c.entity_, c.prior_prob, c.entity_vector)

Answer 1

Aliases in the KB: [' "Camera"', ' "Picture"']

在我看來，好像您的解析腳本向 KB 添加了文字字符串"Camera" ，其中包含空格和引號以及所有內容，而不僅僅是原始字符串Camera ？