Question

我正在制作一个命名实体识别器，并且正在努力使用Python将数据转换为正确的格式。我所拥有的是某个字符串和该文本中带有附属标签的命名实体列表。例如：

text = “Hidden Figures is a 2016 American biographical drama film directed by Theodore Melfi and written by Melfi and Allison Schroeder.”

此字符串也可以是“ [[Hidden Figures]]是一部由[[Theodore Melfi]]执导并由[[Melfi]]和[[Allison Schroeder]]撰写的2016 [[American]]传记戏剧电影。 ”，这样会更容易。

listOfNEsAndTags = [‘Hidden Figures PRO’, 'American LOC’, 'Theodore Melfi PER’, 'Melfi PER’, 'Allison Schroeder PER’]

我想要的输出是：

Hidden PRO
Figures PRO
is O
a O
2016 O
American LOC
biographical O
drama O
film O
directed O
by O
Theodore PER
Melfi PER
and O
written O
by O
Melfi PER
and O 
Allison PER
Schroeder PER 
. O

到目前为止，我仅了解以下功能：

def wordPerLine(text, neplustags): 
    text = re.sub(r"([?!,.]+)", r" \1 ", text) 
    wpl = text.split() 
    output = [] 
    for line in wpl: 
        output.append(line + ” O") 
    return output

为每行赋予默认标签O（这是未命名实体的标签）。如何使文本中的命名实体获得正确的标记？

Answer 1

这可能行得通，用其他东西代替印刷品并需要对正则表达式进行改进，但这是一个好的开始。

text = "[[Hidden test Figures]] is, a 2016 [[American]] biographical drama film directed by [[Theodore Melfi]] and written by [[Melfi]] and [[Allison Schroeder]]."

tags = {"Hidden test Figures": "PRO", "American": "LOC", 'Theodore Melfi': "PER", 'Melfi': "PER", 'Allison Schroeder': "PER"}

text = re.sub(r"([?!,.]+)", r" \1", text)

search = ""
inTag = False

for w in text.split(" "):
    outTag = False

    rest = w

    if rest[:2] == "[[":
        rest = rest[2:]
        inTag = True
    if rest[-2:] == "]]":
        rest = rest[:-2]
        outTag = True

    if inTag:
        search += rest
        if outTag:
            val = tags[search]
            for word in search.split():
                print(word + ": " + val)
            inTag = False
            search = ""
        else:
            search += " "
    else:
        print(rest + ": O")

输入：

[[Hidden test Figures]] is, a 2016 [[American]] biographical drama film directed by [[Theodore Melfi]] and written by [[Melfi]] and [[Allison Schroeder]].

输出：

Hidden: PRO
test: PRO
Figures: PRO
is: O
,: O
a: O
2016: O
American: LOC
biographical: O
drama: O
film: O
directed: O
by: O
Theodore: PER
Melfi: PER
and: O
written: O
by: O
Melfi: PER
and: O
Allison: PER
Schroeder: PER
.: O

每行文本到单词+ Python中的命名实体标签

1 个答案: