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Add MORPH handling to Matcher (#6107)
* Add MORPH handling to Matcher
* Add `MORPH` to `Matcher` schema
* Rename `_SetMemberPredicate` to `_SetPredicate`
* Add `ISSUBSET` and `ISSUPERSET` operators to `_SetPredicate`
* Add special handling for normalization and conversion of morph
values into sets
* For other attrs, `ISSUBSET` acts like `IN` and `ISSUPERSET` only
matches for 0 or 1 values
* Update test
* Rename to IS_SUBSET and IS_SUPERSET
This commit is contained in:
Adriane Boyd
GitHub
parent
59340606b7
commit
3c062b3911
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@ -17,6 +17,7 @@ from ..vocab cimport Vocab
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from ..tokens.doc cimport Doc, get_token_attr_for_matcher
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from ..tokens.span cimport Span
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from ..tokens.token cimport Token
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from ..tokens.morphanalysis cimport MorphAnalysis
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from ..attrs cimport ID, attr_id_t, NULL_ATTR, ORTH, POS, TAG, DEP, LEMMA, MORPH
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from ..schemas import validate_token_pattern
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@ -124,7 +125,7 @@ cdef class Matcher:
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key = self._normalize_key(key)
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for pattern in patterns:
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try:
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specs = _preprocess_pattern(pattern, self.vocab.strings,
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specs = _preprocess_pattern(pattern, self.vocab,
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self._extensions, self._extra_predicates)
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self.patterns.push_back(init_pattern(self.mem, key, specs))
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for spec in specs:
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@ -663,7 +664,7 @@ cdef attr_t get_ent_id(const TokenPatternC* pattern) nogil:
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return id_attr.value
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def _preprocess_pattern(token_specs, string_store, extensions_table, extra_predicates):
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def _preprocess_pattern(token_specs, vocab, extensions_table, extra_predicates):
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"""This function interprets the pattern, converting the various bits of
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syntactic sugar before we compile it into a struct with init_pattern.
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@ -678,6 +679,7 @@ def _preprocess_pattern(token_specs, string_store, extensions_table, extra_predi
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extra_predicates.
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"""
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tokens = []
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string_store = vocab.strings
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for spec in token_specs:
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if not spec:
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# Signifier for 'any token'
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@ -688,7 +690,7 @@ def _preprocess_pattern(token_specs, string_store, extensions_table, extra_predi
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ops = _get_operators(spec)
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attr_values = _get_attr_values(spec, string_store)
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extensions = _get_extensions(spec, string_store, extensions_table)
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predicates = _get_extra_predicates(spec, extra_predicates)
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predicates = _get_extra_predicates(spec, extra_predicates, vocab)
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for op in ops:
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tokens.append((op, list(attr_values), list(extensions), list(predicates)))
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return tokens
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@ -732,7 +734,7 @@ def _get_attr_values(spec, string_store):
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class _RegexPredicate:
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operators = ("REGEX",)
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def __init__(self, i, attr, value, predicate, is_extension=False):
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def __init__(self, i, attr, value, predicate, is_extension=False, vocab=None):
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self.i = i
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self.attr = attr
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self.value = re.compile(value)
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@ -750,13 +752,18 @@ class _RegexPredicate:
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return bool(self.value.search(value))
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class _SetMemberPredicate:
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operators = ("IN", "NOT_IN")
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class _SetPredicate:
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operators = ("IN", "NOT_IN", "IS_SUBSET", "IS_SUPERSET")
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def __init__(self, i, attr, value, predicate, is_extension=False):
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def __init__(self, i, attr, value, predicate, is_extension=False, vocab=None):
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self.i = i
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self.attr = attr
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self.value = set(get_string_id(v) for v in value)
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self.vocab = vocab
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if self.attr == MORPH:
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# normalize morph strings
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self.value = set(self.vocab.morphology.add(v) for v in value)
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else:
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self.value = set(get_string_id(v) for v in value)
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self.predicate = predicate
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self.is_extension = is_extension
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self.key = (attr, self.predicate, srsly.json_dumps(value, sort_keys=True))
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@ -768,19 +775,32 @@ class _SetMemberPredicate:
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value = get_string_id(token._.get(self.attr))
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else:
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value = get_token_attr_for_matcher(token.c, self.attr)
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if self.predicate in ("IS_SUBSET", "IS_SUPERSET"):
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if self.attr == MORPH:
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# break up MORPH into individual Feat=Val values
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value = set(get_string_id(v) for v in MorphAnalysis.from_id(self.vocab, value))
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else:
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# IS_SUBSET for other attrs will be equivalent to "IN"
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# IS_SUPERSET will only match for other attrs with 0 or 1 values
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value = set([value])
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if self.predicate == "IN":
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return value in self.value
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else:
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elif self.predicate == "NOT_IN":
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return value not in self.value
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elif self.predicate == "IS_SUBSET":
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return value <= self.value
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elif self.predicate == "IS_SUPERSET":
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return value >= self.value
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def __repr__(self):
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return repr(("SetMemberPredicate", self.i, self.attr, self.value, self.predicate))
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return repr(("SetPredicate", self.i, self.attr, self.value, self.predicate))
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class _ComparisonPredicate:
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operators = ("==", "!=", ">=", "<=", ">", "<")
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def __init__(self, i, attr, value, predicate, is_extension=False):
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def __init__(self, i, attr, value, predicate, is_extension=False, vocab=None):
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self.i = i
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self.attr = attr
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self.value = value
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@ -809,11 +829,13 @@ class _ComparisonPredicate:
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return value < self.value
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def _get_extra_predicates(spec, extra_predicates):
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def _get_extra_predicates(spec, extra_predicates, vocab):
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predicate_types = {
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"REGEX": _RegexPredicate,
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"IN": _SetMemberPredicate,
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"NOT_IN": _SetMemberPredicate,
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"IN": _SetPredicate,
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"NOT_IN": _SetPredicate,
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"IS_SUBSET": _SetPredicate,
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"IS_SUPERSET": _SetPredicate,
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"==": _ComparisonPredicate,
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"!=": _ComparisonPredicate,
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">=": _ComparisonPredicate,
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@ -841,7 +863,7 @@ def _get_extra_predicates(spec, extra_predicates):
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value_with_upper_keys = {k.upper(): v for k, v in value.items()}
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for type_, cls in predicate_types.items():
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if type_ in value_with_upper_keys:
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predicate = cls(len(extra_predicates), attr, value_with_upper_keys[type_], type_)
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predicate = cls(len(extra_predicates), attr, value_with_upper_keys[type_], type_, vocab=vocab)
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# Don't create a redundant predicates.
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# This helps with efficiency, as we're caching the results.
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if predicate.key in seen_predicates:
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@ -61,6 +61,8 @@ class TokenPatternString(BaseModel):
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REGEX: Optional[StrictStr] = Field(None, alias="regex")
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IN: Optional[List[StrictStr]] = Field(None, alias="in")
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NOT_IN: Optional[List[StrictStr]] = Field(None, alias="not_in")
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IS_SUBSET: Optional[List[StrictStr]] = Field(None, alias="is_subset")
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IS_SUPERSET: Optional[List[StrictStr]] = Field(None, alias="is_superset")
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class Config:
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extra = "forbid"
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@ -77,6 +79,8 @@ class TokenPatternNumber(BaseModel):
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REGEX: Optional[StrictStr] = Field(None, alias="regex")
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IN: Optional[List[StrictInt]] = Field(None, alias="in")
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NOT_IN: Optional[List[StrictInt]] = Field(None, alias="not_in")
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ISSUBSET: Optional[List[StrictInt]] = Field(None, alias="issubset")
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ISSUPERSET: Optional[List[StrictInt]] = Field(None, alias="issuperset")
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EQ: Union[StrictInt, StrictFloat] = Field(None, alias="==")
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NEQ: Union[StrictInt, StrictFloat] = Field(None, alias="!=")
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GEQ: Union[StrictInt, StrictFloat] = Field(None, alias=">=")
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@ -115,6 +119,7 @@ class TokenPattern(BaseModel):
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lower: Optional[StringValue] = None
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pos: Optional[StringValue] = None
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tag: Optional[StringValue] = None
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morph: Optional[StringValue] = None
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dep: Optional[StringValue] = None
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lemma: Optional[StringValue] = None
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shape: Optional[StringValue] = None
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@ -230,6 +230,106 @@ def test_matcher_set_value_operator(en_vocab):
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assert len(matches) == 1
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def test_matcher_subset_value_operator(en_vocab):
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matcher = Matcher(en_vocab)
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pattern = [{"MORPH": {"IS_SUBSET": ["Feat=Val", "Feat2=Val2"]}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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assert len(matcher(doc)) == 3
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doc[0].morph_ = "Feat=Val"
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assert len(matcher(doc)) == 3
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doc[0].morph_ = "Feat=Val|Feat2=Val2"
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assert len(matcher(doc)) == 3
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doc[0].morph_ = "Feat=Val|Feat2=Val2|Feat3=Val3"
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assert len(matcher(doc)) == 2
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doc[0].morph_ = "Feat=Val|Feat2=Val2|Feat3=Val3|Feat4=Val4"
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assert len(matcher(doc)) == 2
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# IS_SUBSET acts like "IN" for attrs other than MORPH
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matcher = Matcher(en_vocab)
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pattern = [{"TAG": {"IS_SUBSET": ["A", "B"]}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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doc[0].tag_ = "A"
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assert len(matcher(doc)) == 1
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# IS_SUBSET with an empty list matches nothing
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matcher = Matcher(en_vocab)
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pattern = [{"TAG": {"IS_SUBSET": []}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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doc[0].tag_ = "A"
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assert len(matcher(doc)) == 0
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def test_matcher_superset_value_operator(en_vocab):
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matcher = Matcher(en_vocab)
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pattern = [{"MORPH": {"IS_SUPERSET": ["Feat=Val", "Feat2=Val2", "Feat3=Val3"]}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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assert len(matcher(doc)) == 0
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doc[0].morph_ = "Feat=Val|Feat2=Val2"
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assert len(matcher(doc)) == 0
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doc[0].morph_ = "Feat=Val|Feat2=Val2|Feat3=Val3"
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assert len(matcher(doc)) == 1
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doc[0].morph_ = "Feat=Val|Feat2=Val2|Feat3=Val3|Feat4=Val4"
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assert len(matcher(doc)) == 1
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# IS_SUPERSET with more than one value only matches for MORPH
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matcher = Matcher(en_vocab)
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pattern = [{"TAG": {"IS_SUPERSET": ["A", "B"]}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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doc[0].tag_ = "A"
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assert len(matcher(doc)) == 0
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# IS_SUPERSET with one value is the same as ==
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matcher = Matcher(en_vocab)
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pattern = [{"TAG": {"IS_SUPERSET": ["A"]}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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doc[0].tag_ = "A"
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assert len(matcher(doc)) == 1
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# IS_SUPERSET with an empty value matches everything
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matcher = Matcher(en_vocab)
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pattern = [{"TAG": {"IS_SUPERSET": []}}]
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matcher.add("M", [pattern])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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doc[0].tag_ = "A"
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assert len(matcher(doc)) == 3
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def test_matcher_morph_handling(en_vocab):
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# order of features in pattern doesn't matter
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matcher = Matcher(en_vocab)
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pattern1 = [{"MORPH": {"IN": ["Feat1=Val1|Feat2=Val2"]}}]
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pattern2 = [{"MORPH": {"IN": ["Feat2=Val2|Feat1=Val1"]}}]
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matcher.add("M", [pattern1])
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matcher.add("N", [pattern2])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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assert len(matcher(doc)) == 0
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doc[0].morph_ = "Feat2=Val2|Feat1=Val1"
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assert len(matcher(doc)) == 2
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doc[0].morph_ = "Feat1=Val1|Feat2=Val2"
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assert len(matcher(doc)) == 2
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# multiple values are split
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matcher = Matcher(en_vocab)
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pattern1 = [{"MORPH": {"IS_SUPERSET": ["Feat1=Val1", "Feat2=Val2"]}}]
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pattern2 = [{"MORPH": {"IS_SUPERSET": ["Feat1=Val1", "Feat1=Val3", "Feat2=Val2"]}}]
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matcher.add("M", [pattern1])
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matcher.add("N", [pattern2])
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doc = Doc(en_vocab, words=["a", "b", "c"])
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assert len(matcher(doc)) == 0
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doc[0].morph_ = "Feat2=Val2,Val3|Feat1=Val1"
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assert len(matcher(doc)) == 1
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doc[0].morph_ = "Feat1=Val1,Val3|Feat2=Val2"
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assert len(matcher(doc)) == 2
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def test_matcher_regex(en_vocab):
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matcher = Matcher(en_vocab)
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pattern = [{"ORTH": {"REGEX": r"(?:a|an)"}}]
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@ -30,20 +30,20 @@ pattern keys correspond to a number of
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[`Token` attributes](/api/token#attributes). The supported attributes for
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rule-based matching are:
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| Attribute | Description |
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| -------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
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| `ORTH` | The exact verbatim text of a token. ~~str~~ |
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| `TEXT` <Tag variant="new">2.1</Tag> | The exact verbatim text of a token. ~~str~~ |
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| `LOWER` | The lowercase form of the token text. ~~str~~ |
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| `LENGTH` | The length of the token text. ~~int~~ |
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| `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | Token text consists of alphabetic characters, ASCII characters, digits. ~~bool~~ |
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| `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | Token text is in lowercase, uppercase, titlecase. ~~bool~~ |
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| `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | Token is punctuation, whitespace, stop word. ~~bool~~ |
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| `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | Token text resembles a number, URL, email. ~~bool~~ |
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| `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. ~~str~~ |
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| `ENT_TYPE` | The token's entity label. ~~str~~ |
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| `_` <Tag variant="new">2.1</Tag> | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). ~~Dict[str, Any]~~ |
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| `OP` | Operator or quantifier to determine how often to match a token pattern. ~~str~~ |
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| Attribute | Description |
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| ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
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| `ORTH` | The exact verbatim text of a token. ~~str~~ |
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| `TEXT` <Tag variant="new">2.1</Tag> | The exact verbatim text of a token. ~~str~~ |
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| `LOWER` | The lowercase form of the token text. ~~str~~ |
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| `LENGTH` | The length of the token text. ~~int~~ |
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| `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | Token text consists of alphabetic characters, ASCII characters, digits. ~~bool~~ |
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| `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | Token text is in lowercase, uppercase, titlecase. ~~bool~~ |
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| `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | Token is punctuation, whitespace, stop word. ~~bool~~ |
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| `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | Token text resembles a number, URL, email. ~~bool~~ |
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| `POS`, `TAG`, `MORPH`, `DEP`, `LEMMA`, `SHAPE` | The token's simple and extended part-of-speech tag, morphological analysis, dependency label, lemma, shape. ~~str~~ |
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| `ENT_TYPE` | The token's entity label. ~~str~~ |
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| `_` <Tag variant="new">2.1</Tag> | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). ~~Dict[str, Any]~~ |
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| `OP` | Operator or quantifier to determine how often to match a token pattern. ~~str~~ |
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Operators and quantifiers define **how often** a token pattern should be
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matched:
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@ -79,6 +79,8 @@ it compares to another value.
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| -------------------------- | ------------------------------------------------------------------------------------------------------- |
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| `IN` | Attribute value is member of a list. ~~Any~~ |
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| `NOT_IN` | Attribute value is _not_ member of a list. ~~Any~~ |
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| `ISSUBSET` | Attribute values (for `MORPH`) are a subset of a list. ~~Any~~ |
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| `ISSUPERSET` | Attribute values (for `MORPH`) are a superset of a list. ~~Any~~ |
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| `==`, `>=`, `<=`, `>`, `<` | Attribute value is equal, greater or equal, smaller or equal, greater or smaller. ~~Union[int, float]~~ |
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## Matcher.\_\_init\_\_ {#init tag="method"}
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@ -158,20 +158,20 @@ The available token pattern keys correspond to a number of
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[`Token` attributes](/api/token#attributes). The supported attributes for
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rule-based matching are:
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| Attribute | Description |
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| -------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
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| `ORTH` | The exact verbatim text of a token. ~~str~~ |
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| `TEXT` <Tag variant="new">2.1</Tag> | The exact verbatim text of a token. ~~str~~ |
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| `LOWER` | The lowercase form of the token text. ~~str~~ |
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| `LENGTH` | The length of the token text. ~~int~~ |
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| `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | Token text consists of alphabetic characters, ASCII characters, digits. ~~bool~~ |
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| `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | Token text is in lowercase, uppercase, titlecase. ~~bool~~ |
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| `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | Token is punctuation, whitespace, stop word. ~~bool~~ |
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| `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | Token text resembles a number, URL, email. ~~bool~~ |
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| `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. ~~str~~ |
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| `ENT_TYPE` | The token's entity label. ~~str~~ |
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| `_` <Tag variant="new">2.1</Tag> | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). ~~Dict[str, Any]~~ |
|
||||
| `OP` | [Operator or quantifier](#quantifiers) to determine how often to match a token pattern. ~~str~~ |
|
||||
| Attribute | Description |
|
||||
| ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `ORTH` | The exact verbatim text of a token. ~~str~~ |
|
||||
| `TEXT` <Tag variant="new">2.1</Tag> | The exact verbatim text of a token. ~~str~~ |
|
||||
| `LOWER` | The lowercase form of the token text. ~~str~~ |
|
||||
| `LENGTH` | The length of the token text. ~~int~~ |
|
||||
| `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | Token text consists of alphabetic characters, ASCII characters, digits. ~~bool~~ |
|
||||
| `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | Token text is in lowercase, uppercase, titlecase. ~~bool~~ |
|
||||
| `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | Token is punctuation, whitespace, stop word. ~~bool~~ |
|
||||
| `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | Token text resembles a number, URL, email. ~~bool~~ |
|
||||
| `POS`, `TAG`, `MORPH`, `DEP`, `LEMMA`, `SHAPE` | The token's simple and extended part-of-speech tag, morphological analysis, dependency label, lemma, shape. ~~str~~ |
|
||||
| `ENT_TYPE` | The token's entity label. ~~str~~ |
|
||||
| `_` <Tag variant="new">2.1</Tag> | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). ~~Dict[str, Any]~~ |
|
||||
| `OP` | [Operator or quantifier](#quantifiers) to determine how often to match a token pattern. ~~str~~ |
|
||||
|
||||
<Accordion title="Does it matter if the attribute names are uppercase or lowercase?">
|
||||
|
||||
|
|
@ -236,6 +236,8 @@ following rich comparison attributes are available:
|
|||
| -------------------------- | ------------------------------------------------------------------------------------------------------- |
|
||||
| `IN` | Attribute value is member of a list. ~~Any~~ |
|
||||
| `NOT_IN` | Attribute value is _not_ member of a list. ~~Any~~ |
|
||||
| `ISSUBSET` | Attribute values (for `MORPH`) are a subset of a list. ~~Any~~ |
|
||||
| `ISSUPERSET` | Attribute values (for `MORPH`) are a superset of a list. ~~Any~~ |
|
||||
| `==`, `>=`, `<=`, `>`, `<` | Attribute value is equal, greater or equal, smaller or equal, greater or smaller. ~~Union[int, float]~~ |
|
||||
|
||||
#### Regular expressions {#regex new="2.1"}
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user