The Python NLTK has access to the nltk.corpus.conll2000 corpus. Calling conll2000.iob_words() returns a list of (word, part-of-speech, IOB) triples, where IOB is a tag in the Inside-entity/Outside-entity/Beginning-of-entity format.
There are about 250k total words in a newswire-style context.
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http://www.cs 中有一个语料库列表。 technion.ac.il/~gabr/resources/data/ne_datasets.html
该列表中的 CoNLL 2003 语料库是免费的，可从 http://www.cnts.ua.ac.be/conll2003/ner/（注释）和 NIST（文本）。
There's a list of corpora at http://www.cs.technion.ac.il/~gabr/resources/data/ne_datasets.html
The CoNLL 2003 corpus, which is on that list, is free and is available from http://www.cnts.ua.ac.be/conll2003/ner/ (annotations) and NIST (text).
Python NLTK 可以访问
nltk.corpus.conll2000语料库。调用 conll2000.iob_words() 会返回（单词、词性、IOB）三元组列表，其中 IOB 是 Inside-entity/Outside-entity/Beginning-of-entity 中的标签格式。新闻专线风格的上下文中总共约有 25 万个单词。
The Python NLTK has access to the
nltk.corpus.conll2000corpus. Callingconll2000.iob_words()returns a list of (word, part-of-speech, IOB) triples, where IOB is a tag in the Inside-entity/Outside-entity/Beginning-of-entity format.There are about 250k total words in a newswire-style context.
dbPedia 是开放且免费的
dbPedia 是根据 WikiPedia 构建的，并且这是一个非常大的语料库。在所有 dbPedia 标题转储rdfs:label 的三元组上构建 Lucene 索引一个>。
dbPedia is open and free
dbPedia is built from WikiPedia and it is a very big corpus. Build an Lucene index on triples involving
rdfs:labelon all dbPedia titles dump.