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spaCy/spacy/gold.pxd

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* Refactored transition system code now compiling. Still need to hook up label oracle, and test
2015-02-22 05:32:07 +00:00
from cymem.cymem cimport Pool
* Add file to hold GoldParse class
2015-02-21 16:06:58 +00:00
WIP on stringstore change. 27 failures
2017-05-28 12:06:40 +00:00
from .typedefs cimport attr_t
* Move spacy.syntax.conll to spacy.gold
2015-05-24 19:35:02 +00:00
from .syntax.transition_system cimport Transition
* Tmp
2015-03-09 05:46:22 +00:00
Tidy up compiler flags and imports (#5071)
2020-03-02 10:48:10 +00:00
from .tokens import Doc
* Have oracle functions take a struct instead of a Python object
2015-06-02 18:01:06 +00:00
cdef struct GoldParseC:
int* tags
int* heads
Fix arc eager label costs for uint64
2017-05-30 18:37:24 +00:00
int* has_dep
Add support for sent_start to GoldParse
2017-08-26 01:03:14 +00:00
int* sent_start
WIP on stringstore change. 27 failures
2017-05-28 12:06:40 +00:00
attr_t* labels
* Have oracle functions take a struct instead of a Python object
2015-06-02 18:01:06 +00:00
int** brackets
Transition* ner
* Add file to hold GoldParse class
2015-02-21 16:06:58 +00:00
cdef class GoldParse:
* Refactored transition system code now compiling. Still need to hook up label oracle, and test
2015-02-22 05:32:07 +00:00
cdef Pool mem
* Have oracle functions take a struct instead of a Python object
2015-06-02 18:01:06 +00:00
cdef GoldParseC c
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef readonly TokenAnnotation orig
* Have oracle functions take a struct instead of a Python object
2015-06-02 18:01:06 +00:00
* Refactored transition system code now compiling. Still need to hook up label oracle, and test
2015-02-22 05:32:07 +00:00
cdef int length
Make GoldParse attributes writeable
2017-05-22 09:50:29 +00:00
cdef public int loss
cdef public list words
cdef public list tags
Add support for pos/morphs/lemmas in training data (#4941) Add support for pos/morphs/lemmas throughout `GoldParse`, `Example`, and `docs_to_json()`.
2020-01-28 10:36:29 +00:00
cdef public list pos
Restructure Example with merged sents as default (#4632) * Switch to train_dataset() function in train CLI * Fixes for pipe() methods in pipeline components * Don't clobber `examples` variable with `as_example` in pipe() methods * Remove unnecessary traversals of `examples` * Update Parser.pipe() for Examples * Add `as_examples` kwarg to `pipe()` with implementation to return `Example`s * Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from `Pipe`) * Fixes to Example implementation in spacy.gold * Move `make_projective` from an attribute of Example to an argument of `Example.get_gold_parses()` * Head of 0 are not treated as unset * Unset heads are set to self rather than `None` (which causes problems while projectivizing) * Check for `Doc` (not just not `None`) when creating GoldParses for pre-merged example * Don't clobber `examples` variable in `iter_gold_docs()` * Add/modify gold tests for handling projectivity * In JSON roundtrip compare results from `dev_dataset` rather than `train_dataset` to avoid projectivization (and other potential modifications) * Add test for projective train vs. nonprojective dev versions of the same `Doc` * Handle ignore_misaligned as arg rather than attr Move `ignore_misaligned` from an attribute of `Example` to an argument to `Example.get_gold_parses()`, which makes it parallel to `make_projective`. Add test with old and new align that checks whether `ignore_misaligned` errors are raised as expected (only for new align). * Remove unused attrs from gold.pxd Remove `ignore_misaligned` and `make_projective` from `gold.pxd` * Restructure Example with merged sents as default An `Example` now includes a single `TokenAnnotation` that includes all the information from one `Doc` (=JSON `paragraph`). If required, the individual sentences can be returned as a list of examples with `Example.split_sents()` with no raw text available. * Input/output a single `Example.token_annotation` * Add `sent_starts` to `TokenAnnotation` to handle sentence boundaries * Replace `Example.merge_sents()` with `Example.split_sents()` * Modify components to use a single `Example.token_annotation` * Pipeline components * conllu2json converter * Rework/rename `add_token_annotation()` and `add_doc_annotation()` to `set_token_annotation()` and `set_doc_annotation()`, functions that set rather then appending/extending. * Rename `morphology` to `morphs` in `TokenAnnotation` and `GoldParse` * Add getters to `TokenAnnotation` to supply default values when a given attribute is not available * `Example.get_gold_parses()` in `spacy.gold._make_golds()` is only applied on single examples, so the `GoldParse` is returned saved in the provided `Example` rather than creating a new `Example` with no other internal annotation * Update tests for API changes and `merge_sents()` vs. `split_sents()` * Refer to Example.goldparse in iter_gold_docs() Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold` because a `None` `GoldParse` is generated with ignore_misaligned and generating it on-the-fly can raise an unwanted AlignmentError * Fix make_orth_variants() Fix bug in make_orth_variants() related to conversion from multiple to one TokenAnnotation per Example. * Add basic test for make_orth_variants() * Replace try/except with conditionals * Replace default morph value with set
2019-11-25 15:03:28 +00:00
cdef public list morphs
Add lemmas to GoldParse / Example / docs_to_json (#4726)
2019-11-28 13:53:44 +00:00
cdef public list lemmas
Add a tagger-based SentenceRecognizer (#4713) * Add sent_starts to GoldParse * Add SentTagger pipeline component Add `SentTagger` pipeline component as a subclass of `Tagger`. * Model reduces default parameters from `Tagger` to be small and fast * Hard-coded set of two labels: * S (1): token at beginning of sentence * I (0): all other sentence positions * Sets `token.sent_start` values * Add sentence segmentation to Scorer Report `sent_p/r/f` for sentence boundaries, which may be provided by various pipeline components. * Add sentence segmentation to CLI evaluate * Add senttagger metrics/scoring to train CLI * Rename SentTagger to SentenceRecognizer * Add SentenceRecognizer to spacy.pipes imports * Add SentenceRecognizer serialization test * Shorten component name to sentrec * Remove duplicates from train CLI output metrics
2019-11-28 10:10:07 +00:00
cdef public list sent_starts
Make GoldParse attributes writeable
2017-05-22 09:50:29 +00:00
cdef public list heads
cdef public list labels
cdef public dict orths
cdef public list ner
cdef public dict brackets
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef public dict cats
fixes in kb and gold
2019-07-17 15:18:26 +00:00
cdef public dict links
* Refactored transition system code now compiling. Still need to hook up label oracle, and test
2015-02-22 05:32:07 +00:00
* Remove cruft from conll.pyx --- unused stuff about evlauation, which now lives in spacy.scorer
2015-05-24 15:35:49 +00:00
cdef readonly list cand_to_gold
cdef readonly list gold_to_cand
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef class TokenAnnotation:
cdef public list ids
cdef public list words
cdef public list tags
Add support for pos/morphs/lemmas in training data (#4941) Add support for pos/morphs/lemmas throughout `GoldParse`, `Example`, and `docs_to_json()`.
2020-01-28 10:36:29 +00:00
cdef public list pos
cdef public list morphs
cdef public list lemmas
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef public list heads
cdef public list deps
cdef public list entities
Restructure Example with merged sents as default (#4632) * Switch to train_dataset() function in train CLI * Fixes for pipe() methods in pipeline components * Don't clobber `examples` variable with `as_example` in pipe() methods * Remove unnecessary traversals of `examples` * Update Parser.pipe() for Examples * Add `as_examples` kwarg to `pipe()` with implementation to return `Example`s * Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from `Pipe`) * Fixes to Example implementation in spacy.gold * Move `make_projective` from an attribute of Example to an argument of `Example.get_gold_parses()` * Head of 0 are not treated as unset * Unset heads are set to self rather than `None` (which causes problems while projectivizing) * Check for `Doc` (not just not `None`) when creating GoldParses for pre-merged example * Don't clobber `examples` variable in `iter_gold_docs()` * Add/modify gold tests for handling projectivity * In JSON roundtrip compare results from `dev_dataset` rather than `train_dataset` to avoid projectivization (and other potential modifications) * Add test for projective train vs. nonprojective dev versions of the same `Doc` * Handle ignore_misaligned as arg rather than attr Move `ignore_misaligned` from an attribute of `Example` to an argument to `Example.get_gold_parses()`, which makes it parallel to `make_projective`. Add test with old and new align that checks whether `ignore_misaligned` errors are raised as expected (only for new align). * Remove unused attrs from gold.pxd Remove `ignore_misaligned` and `make_projective` from `gold.pxd` * Restructure Example with merged sents as default An `Example` now includes a single `TokenAnnotation` that includes all the information from one `Doc` (=JSON `paragraph`). If required, the individual sentences can be returned as a list of examples with `Example.split_sents()` with no raw text available. * Input/output a single `Example.token_annotation` * Add `sent_starts` to `TokenAnnotation` to handle sentence boundaries * Replace `Example.merge_sents()` with `Example.split_sents()` * Modify components to use a single `Example.token_annotation` * Pipeline components * conllu2json converter * Rework/rename `add_token_annotation()` and `add_doc_annotation()` to `set_token_annotation()` and `set_doc_annotation()`, functions that set rather then appending/extending. * Rename `morphology` to `morphs` in `TokenAnnotation` and `GoldParse` * Add getters to `TokenAnnotation` to supply default values when a given attribute is not available * `Example.get_gold_parses()` in `spacy.gold._make_golds()` is only applied on single examples, so the `GoldParse` is returned saved in the provided `Example` rather than creating a new `Example` with no other internal annotation * Update tests for API changes and `merge_sents()` vs. `split_sents()` * Refer to Example.goldparse in iter_gold_docs() Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold` because a `None` `GoldParse` is generated with ignore_misaligned and generating it on-the-fly can raise an unwanted AlignmentError * Fix make_orth_variants() Fix bug in make_orth_variants() related to conversion from multiple to one TokenAnnotation per Example. * Add basic test for make_orth_variants() * Replace try/except with conditionals * Replace default morph value with set
2019-11-25 15:03:28 +00:00
cdef public list sent_starts
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef public list brackets
cdef class DocAnnotation:
cdef public object cats
cdef public object links
cdef class Example:
cdef public object doc
Restructure Example with merged sents as default (#4632) * Switch to train_dataset() function in train CLI * Fixes for pipe() methods in pipeline components * Don't clobber `examples` variable with `as_example` in pipe() methods * Remove unnecessary traversals of `examples` * Update Parser.pipe() for Examples * Add `as_examples` kwarg to `pipe()` with implementation to return `Example`s * Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from `Pipe`) * Fixes to Example implementation in spacy.gold * Move `make_projective` from an attribute of Example to an argument of `Example.get_gold_parses()` * Head of 0 are not treated as unset * Unset heads are set to self rather than `None` (which causes problems while projectivizing) * Check for `Doc` (not just not `None`) when creating GoldParses for pre-merged example * Don't clobber `examples` variable in `iter_gold_docs()` * Add/modify gold tests for handling projectivity * In JSON roundtrip compare results from `dev_dataset` rather than `train_dataset` to avoid projectivization (and other potential modifications) * Add test for projective train vs. nonprojective dev versions of the same `Doc` * Handle ignore_misaligned as arg rather than attr Move `ignore_misaligned` from an attribute of `Example` to an argument to `Example.get_gold_parses()`, which makes it parallel to `make_projective`. Add test with old and new align that checks whether `ignore_misaligned` errors are raised as expected (only for new align). * Remove unused attrs from gold.pxd Remove `ignore_misaligned` and `make_projective` from `gold.pxd` * Restructure Example with merged sents as default An `Example` now includes a single `TokenAnnotation` that includes all the information from one `Doc` (=JSON `paragraph`). If required, the individual sentences can be returned as a list of examples with `Example.split_sents()` with no raw text available. * Input/output a single `Example.token_annotation` * Add `sent_starts` to `TokenAnnotation` to handle sentence boundaries * Replace `Example.merge_sents()` with `Example.split_sents()` * Modify components to use a single `Example.token_annotation` * Pipeline components * conllu2json converter * Rework/rename `add_token_annotation()` and `add_doc_annotation()` to `set_token_annotation()` and `set_doc_annotation()`, functions that set rather then appending/extending. * Rename `morphology` to `morphs` in `TokenAnnotation` and `GoldParse` * Add getters to `TokenAnnotation` to supply default values when a given attribute is not available * `Example.get_gold_parses()` in `spacy.gold._make_golds()` is only applied on single examples, so the `GoldParse` is returned saved in the provided `Example` rather than creating a new `Example` with no other internal annotation * Update tests for API changes and `merge_sents()` vs. `split_sents()` * Refer to Example.goldparse in iter_gold_docs() Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold` because a `None` `GoldParse` is generated with ignore_misaligned and generating it on-the-fly can raise an unwanted AlignmentError * Fix make_orth_variants() Fix bug in make_orth_variants() related to conversion from multiple to one TokenAnnotation per Example. * Add basic test for make_orth_variants() * Replace try/except with conditionals * Replace default morph value with set
2019-11-25 15:03:28 +00:00
cdef public TokenAnnotation token_annotation
Example class for training data (#4543) * OrigAnnot class instead of gold.orig_annot list of zipped tuples * from_orig to replace from_annot_tuples * rename to RawAnnot * some unit tests for GoldParse creation and internal format * removing orig_annot and switching to lists instead of tuple * rewriting tuples to use RawAnnot (+ debug statements, WIP) * fix pop() changing the data * small fixes * pop-append fixes * return RawAnnot for existing GoldParse to have uniform interface * clean up imports * fix merge_sents * add unit test for 4402 with new structure (not working yet) * introduce DocAnnot * typo fixes * add unit test for merge_sents * rename from_orig to from_raw * fixing unit tests * fix nn parser * read_annots to produce text, doc_annot pairs * _make_golds fix * rename golds_to_gold_annots * small fixes * fix encoding * have golds_to_gold_annots use DocAnnot * missed a spot * merge_sents as function in DocAnnot * allow specifying only part of the token-level annotations * refactor with Example class + underlying dicts * pipeline components to work with Example objects (wip) * input checking * fix yielding * fix calls to update * small fixes * fix scorer unit test with new format * fix kwargs order * fixes for ud and conllu scripts * fix reading data for conllu script * add in proper errors (not fixed numbering yet to avoid merge conflicts) * fixing few more small bugs * fix EL script
2019-11-11 16:35:27 +00:00
cdef public DocAnnotation doc_annotation
cdef public object goldparse