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* 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
67 lines
527 B
Plaintext
67 lines
527 B
Plaintext
When O
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Sebastian B-PERSON
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Thrun I-PERSON
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started O
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working O
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on O
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self O
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- O
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driving O
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cars O
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at O
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Google B-ORG
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in O
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2007 B-DATE
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, O
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few O
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people O
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outside O
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of O
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the O
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company O
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took O
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him O
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seriously O
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. O
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“ O
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I O
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can O
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tell O
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you O
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very O
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senior O
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CEOs O
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of O
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major O
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American B-NORP
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car O
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companies O
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would O
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shake O
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my O
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hand O
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and O
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turn O
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away O
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because O
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I O
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was O
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n’t O
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worth O
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talking O
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to O
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, O
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” O
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said O
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Thrun B-PERSON
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, O
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in O
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an O
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interview O
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with O
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Recode B-ORG
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earlier B-DATE
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this I-DATE
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week I-DATE
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. O
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