mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
82159b5c19
* Updates/bugfixes for NER/IOB converters
* Converter formats `ner` and `iob` use autodetect to choose a converter if
possible
* `iob2json` is reverted to handle sentence-per-line data like
`word1|pos1|ent1 word2|pos2|ent2`
* Fix bug in `merge_sentences()` so the second sentence in each batch isn't
skipped
* `conll_ner2json` is made more general so it can handle more formats with
whitespace-separated columns
* Supports all formats where the first column is the token and the final
column is the IOB tag; if present, the second column is the POS tag
* As in CoNLL 2003 NER, blank lines separate sentences, `-DOCSTART- -X- O O`
separates documents
* Add option for segmenting sentences (new flag `-s`)
* Parser-based sentence segmentation with a provided model, otherwise with
sentencizer (new option `-b` to specify model)
* Can group sentences into documents with `n_sents` as long as sentence
segmentation is available
* Only applies automatic segmentation when there are no existing delimiters
in the data
* Provide info about settings applied during conversion with warnings and
suggestions if settings conflict or might not be not optimal.
* Add tests for common formats
* Add '(default)' back to docs for -c auto
* Add document count back to output
* Revert changes to converter output message
* Use explicit tabs in convert CLI test data
* Adjust/add messages for n_sents=1 default
* Add sample NER data to training examples
* Update README
* Add links in docs to example NER data
* Define msg within converters
349 lines
7.9 KiB
JSON
349 lines
7.9 KiB
JSON
[
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{
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"id":0,
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"paragraphs":[
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{
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"sentences":[
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{
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"tokens":[
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{
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"orth":"When",
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"tag":"WRB",
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"ner":"O"
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},
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{
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"orth":"Sebastian",
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"tag":"NNP",
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"ner":"B-PERSON"
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},
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{
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"orth":"Thrun",
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"tag":"NNP",
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"ner":"L-PERSON"
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},
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{
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"orth":"started",
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"tag":"VBD",
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"ner":"O"
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},
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{
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"orth":"working",
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"tag":"VBG",
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"ner":"O"
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},
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{
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"orth":"on",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"self",
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"tag":"NN",
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"ner":"O"
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},
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{
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"orth":"-",
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"tag":"HYPH",
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"ner":"O"
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},
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{
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"orth":"driving",
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"tag":"VBG",
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"ner":"O"
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},
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{
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"orth":"cars",
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"tag":"NNS",
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"ner":"O"
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},
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{
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"orth":"at",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"Google",
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"tag":"NNP",
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"ner":"U-ORG"
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},
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{
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"orth":"in",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"2007",
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"tag":"CD",
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"ner":"U-DATE"
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},
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{
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"orth":",",
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"tag":",",
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"ner":"O"
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},
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{
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"orth":"few",
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"tag":"JJ",
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"ner":"O"
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},
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{
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"orth":"people",
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"tag":"NNS",
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"ner":"O"
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},
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{
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"orth":"outside",
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"tag":"RB",
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"ner":"O"
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},
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{
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"orth":"of",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"the",
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"tag":"DT",
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"ner":"O"
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},
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{
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"orth":"company",
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"tag":"NN",
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"ner":"O"
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},
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{
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"orth":"took",
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"tag":"VBD",
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"ner":"O"
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},
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{
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"orth":"him",
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"tag":"PRP",
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"ner":"O"
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},
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{
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"orth":"seriously",
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"tag":"RB",
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"ner":"O"
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},
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{
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"orth":".",
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"tag":".",
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"ner":"O"
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}
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]
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},
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{
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"tokens":[
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{
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"orth":"\u201c",
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"tag":"''",
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"ner":"O"
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},
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{
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"orth":"I",
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"tag":"PRP",
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"ner":"O"
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},
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{
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"orth":"can",
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"tag":"MD",
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"ner":"O"
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},
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{
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"orth":"tell",
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"tag":"VB",
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"ner":"O"
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},
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{
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"orth":"you",
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"tag":"PRP",
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"ner":"O"
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},
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{
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"orth":"very",
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"tag":"RB",
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"ner":"O"
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},
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{
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"orth":"senior",
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"tag":"JJ",
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"ner":"O"
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},
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{
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"orth":"CEOs",
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"tag":"NNS",
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"ner":"O"
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},
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{
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"orth":"of",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"major",
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"tag":"JJ",
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"ner":"O"
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},
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{
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"orth":"American",
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"tag":"JJ",
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"ner":"U-NORP"
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},
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{
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"orth":"car",
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"tag":"NN",
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"ner":"O"
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},
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{
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"orth":"companies",
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"tag":"NNS",
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"ner":"O"
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},
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{
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"orth":"would",
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"tag":"MD",
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"ner":"O"
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},
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{
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"orth":"shake",
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"tag":"VB",
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"ner":"O"
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},
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{
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"orth":"my",
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"tag":"PRP$",
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"ner":"O"
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},
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{
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"orth":"hand",
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"tag":"NN",
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"ner":"O"
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},
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{
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"orth":"and",
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"tag":"CC",
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"ner":"O"
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},
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{
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"orth":"turn",
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"tag":"VB",
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"ner":"O"
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},
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{
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"orth":"away",
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"tag":"RB",
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"ner":"O"
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},
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{
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"orth":"because",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"I",
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"tag":"PRP",
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"ner":"O"
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},
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{
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"orth":"was",
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"tag":"VBD",
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"ner":"O"
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},
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{
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"orth":"n\u2019t",
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"tag":"RB",
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"ner":"O"
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},
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{
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"orth":"worth",
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"tag":"JJ",
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"ner":"O"
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},
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{
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"orth":"talking",
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"tag":"VBG",
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"ner":"O"
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},
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{
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"orth":"to",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":",",
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"tag":",",
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"ner":"O"
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},
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{
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"orth":"\u201d",
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"tag":"''",
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"ner":"O"
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},
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{
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"orth":"said",
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"tag":"VBD",
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"ner":"O"
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},
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{
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"orth":"Thrun",
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"tag":"NNP",
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"ner":"U-PERSON"
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},
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{
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"orth":",",
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"tag":",",
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"ner":"O"
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},
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{
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"orth":"in",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"an",
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"tag":"DT",
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"ner":"O"
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},
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{
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"orth":"interview",
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"tag":"NN",
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"ner":"O"
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},
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{
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"orth":"with",
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"tag":"IN",
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"ner":"O"
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},
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{
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"orth":"Recode",
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"tag":"NNP",
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"ner":"U-ORG"
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},
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{
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"orth":"earlier",
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"tag":"RBR",
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"ner":"B-DATE"
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},
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{
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"orth":"this",
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"tag":"DT",
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"ner":"I-DATE"
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},
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{
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"orth":"week",
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"tag":"NN",
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"ner":"L-DATE"
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},
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{
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"orth":".",
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"tag":".",
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"ner":"O"
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}
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]
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}
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]
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}
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]
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}
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] |