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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
71 lines
900 B
Plaintext
71 lines
900 B
Plaintext
-DOCSTART- -X- O O
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When WRB _ O
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Sebastian NNP _ B-PERSON
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Thrun NNP _ I-PERSON
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started VBD _ O
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working VBG _ O
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on IN _ O
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self NN _ O
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- HYPH _ O
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driving VBG _ O
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cars NNS _ O
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at IN _ O
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Google NNP _ B-ORG
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in IN _ O
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2007 CD _ B-DATE
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, , _ O
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few JJ _ O
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people NNS _ O
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outside RB _ O
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of IN _ O
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the DT _ O
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company NN _ O
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took VBD _ O
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him PRP _ O
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seriously RB _ O
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. . _ O
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“ '' _ O
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I PRP _ O
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can MD _ O
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tell VB _ O
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you PRP _ O
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very RB _ O
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senior JJ _ O
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CEOs NNS _ O
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of IN _ O
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major JJ _ O
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American JJ _ B-NORP
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car NN _ O
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companies NNS _ O
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would MD _ O
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shake VB _ O
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my PRP$ _ O
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hand NN _ O
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and CC _ O
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turn VB _ O
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away RB _ O
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because IN _ O
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I PRP _ O
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was VBD _ O
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n’t RB _ O
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worth JJ _ O
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talking VBG _ O
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to IN _ O
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, , _ O
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” '' _ O
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said VBD _ O
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Thrun NNP _ B-PERSON
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, , _ O
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in IN _ O
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an DT _ O
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interview NN _ O
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with IN _ O
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Recode NNP _ B-ORG
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earlier RBR _ B-DATE
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this DT _ I-DATE
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week NN _ I-DATE
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. . _ O
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