mirror of
https://github.com/explosion/spaCy.git
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Initial, limited support for quantified patterns in Matcher, and tracking of ent_id attribute in Token and Span. The quantifiers need a lot more testing, and there are some known problems. The main known problem is that the zero-plus and one-plus quantifiers won't work if a token can match both the quantified pattern expression AND the tail of the match.
This commit is contained in:
Matthew Honnibal
parent
2735b6247b
commit
58e83fe34b
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@ -12,9 +12,11 @@ from .lexeme cimport Lexeme
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from cymem.cymem cimport Pool
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from preshed.maps cimport PreshMap
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from libcpp.vector cimport vector
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from libcpp.pair cimport pair
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from murmurhash.mrmr cimport hash64
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from libc.stdint cimport int32_t
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from .attrs cimport LENGTH, ENT_TYPE, ORTH, NORM, LEMMA, LOWER, SHAPE
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from .attrs cimport ID, LENGTH, ENT_TYPE, ORTH, NORM, LEMMA, LOWER, SHAPE
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from . import attrs
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from .tokens.doc cimport get_token_attr
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from .tokens.doc cimport Doc
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@ -59,58 +61,96 @@ except ImportError:
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import json
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cdef struct AttrValue:
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cpdef enum quantifier_t:
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_META
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ONE
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ZERO
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ZERO_ONE
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ZERO_PLUS
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cdef enum action_t:
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REJECT
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ADVANCE
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REPEAT
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ACCEPT
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ADVANCE_ZERO
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PANIC
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cdef struct AttrValueC:
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attr_id_t attr
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attr_t value
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cdef struct Pattern:
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AttrValue* spec
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int length
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cdef struct TokenPatternC:
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AttrValueC* attrs
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int32_t nr_attr
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quantifier_t quantifier
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cdef Pattern* init_pattern(Pool mem, object token_specs, attr_t entity_type) except NULL:
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pattern = <Pattern*>mem.alloc(len(token_specs) + 1, sizeof(Pattern))
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ctypedef TokenPatternC* TokenPatternC_ptr
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ctypedef pair[int, TokenPatternC_ptr] StateC
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cdef TokenPatternC* init_pattern(Pool mem, object token_specs, attr_t entity_id,
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attr_t entity_type) except NULL:
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pattern = <TokenPatternC*>mem.alloc(len(token_specs) + 1, sizeof(TokenPatternC))
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cdef int i
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for i, spec in enumerate(token_specs):
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pattern[i].spec = <AttrValue*>mem.alloc(len(spec), sizeof(AttrValue))
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pattern[i].length = len(spec)
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for i, (quantifier, spec) in enumerate(token_specs):
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pattern[i].quantifier = quantifier
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pattern[i].attrs = <AttrValueC*>mem.alloc(len(spec), sizeof(AttrValueC))
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pattern[i].nr_attr = len(spec)
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for j, (attr, value) in enumerate(spec):
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pattern[i].spec[j].attr = attr
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pattern[i].spec[j].value = value
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pattern[i].attrs[j].attr = attr
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pattern[i].attrs[j].value = value
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i = len(token_specs)
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pattern[i].spec = <AttrValue*>mem.alloc(2, sizeof(AttrValue))
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pattern[i].spec[0].attr = ENT_TYPE
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pattern[i].spec[0].value = entity_type
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pattern[i].spec[1].attr = LENGTH
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pattern[i].spec[1].value = len(token_specs)
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pattern[i].length = 0
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pattern[i].attrs = <AttrValueC*>mem.alloc(3, sizeof(AttrValueC))
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pattern[i].attrs[0].attr = ID
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pattern[i].attrs[0].value = entity_id
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pattern[i].attrs[1].attr = ENT_TYPE
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pattern[i].attrs[1].value = entity_type
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pattern[i].nr_attr = 0
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return pattern
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cdef int match(const Pattern* pattern, const TokenC* token) except -1:
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cdef int i
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for i in range(pattern.length):
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if get_token_attr(token, pattern.spec[i].attr) != pattern.spec[i].value:
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return False
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return True
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cdef int is_final(const Pattern* pattern) except -1:
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return (pattern + 1).length == 0
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cdef object get_entity(const Pattern* pattern, const TokenC* tokens, int i):
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pattern += 1
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i += 1
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return (pattern.spec[0].value, i - pattern.spec[1].value, i)
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cdef int get_action(const TokenPatternC* pattern, const TokenC* token) nogil:
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for attr in pattern.attrs[:pattern.nr_attr]:
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if get_token_attr(token, attr.attr) != attr.value:
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if pattern.quantifier == ONE:
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return REJECT
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elif pattern.quantifier == ZERO:
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return ACCEPT if (pattern+1).nr_attr == 0 else ADVANCE
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elif pattern.quantifier in (ZERO_ONE, ZERO_PLUS):
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return ACCEPT if (pattern+1).nr_attr == 0 else ADVANCE_ZERO
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else:
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return PANIC
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if pattern.quantifier == ZERO:
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return REJECT
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elif pattern.quantifier in (ONE, ZERO_ONE):
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return ACCEPT if (pattern+1).nr_attr == 0 else ADVANCE
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elif pattern.quantifier == ZERO_PLUS:
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return REPEAT
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else:
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return PANIC
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def _convert_strings(token_specs, string_store):
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converted = []
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# Support 'syntactic sugar' operator '+', as combination of ONE, ZERO_PLUS
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operators = {'!': (ZERO,), '*': (ZERO_PLUS,), '+': (ONE, ZERO_PLUS),
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'?': (ZERO_ONE,)}
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tokens = []
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op = ONE
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for spec in token_specs:
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converted.append([])
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token = []
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ops = (ONE,)
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for attr, value in spec.items():
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if isinstance(attr, basestring) and attr.upper() == 'OP':
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if value in operators:
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ops = operators[value]
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else:
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raise KeyError(
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"Unknown operator. Options: %s" % ', '.join(operators.keys()))
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if isinstance(attr, basestring):
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attr = attrs.IDS.get(attr.upper())
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if isinstance(value, basestring):
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@ -118,8 +158,10 @@ def _convert_strings(token_specs, string_store):
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if isinstance(value, bool):
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value = int(value)
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if attr is not None:
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converted[-1].append((attr, value))
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return converted
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token.append((attr, value))
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for op in ops:
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tokens.append((op, token))
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return tokens
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def get_bilou(length):
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@ -150,7 +192,7 @@ def get_bilou(length):
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cdef class Matcher:
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cdef Pool mem
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cdef vector[Pattern*] patterns
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cdef vector[TokenPatternC*] patterns
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cdef readonly Vocab vocab
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cdef object _patterns
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@ -189,15 +231,15 @@ cdef class Matcher:
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# entity
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for spec in specs:
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spec = _convert_strings(spec, self.vocab.strings)
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self.patterns.push_back(init_pattern(self.mem, spec, etype))
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self.patterns.push_back(init_pattern(self.mem, spec, entity_key, etype))
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def __call__(self, Doc doc, acceptor=None):
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cdef vector[Pattern*] partials
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cdef vector[StateC] partials
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cdef int n_partials = 0
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cdef int q = 0
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cdef int i, token_i
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cdef const TokenC* token
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cdef Pattern* state
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cdef StateC state
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matches = []
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for token_i in range(doc.length):
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token = &doc.c[token_i]
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@ -205,27 +247,57 @@ cdef class Matcher:
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# Go over the open matches, extending or finalizing if able. Otherwise,
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# we over-write them (q doesn't advance)
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for state in partials:
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if match(state, token):
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if is_final(state):
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label, start, end = get_entity(state, token, token_i)
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if acceptor is None or acceptor(doc, label, start, end):
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matches.append((label, start, end))
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else:
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partials[q] = state + 1
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q += 1
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action = get_action(state.second, token)
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while action == ADVANCE_ZERO:
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state.second += 1
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action = get_action(state.second, token)
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if action == REPEAT:
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# Leave the state in the queue, and advance to next slot
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# (i.e. we don't overwrite -- we want to greedily match more
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# pattern.
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q += 1
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elif action == REJECT:
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pass
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elif action == ADVANCE:
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partials[q].second += 1
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q += 1
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elif action == ACCEPT:
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# TODO: What to do about patterns starting with ZERO? Need to
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# adjust the start position.
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start = state.first
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end = token_i+1
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ent_id = state.second[1].attrs[0].value
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label = state.second[1].attrs[1].value
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if acceptor is None or acceptor(doc, ent_id, label, start, end):
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matches.append((ent_id, label, start, end))
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partials.resize(q)
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# Check whether we open any new patterns on this token
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for state in self.patterns:
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if match(state, token):
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if is_final(state):
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label, start, end = get_entity(state, token, token_i)
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if acceptor is None or acceptor(doc, label, start, end):
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matches.append((label, start, end))
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else:
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partials.push_back(state + 1)
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for pattern in self.patterns:
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action = get_action(pattern, token)
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while action == ADVANCE_ZERO:
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pattern += 1
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action = get_action(pattern, token)
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if action == REPEAT:
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state.first = token_i
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state.second = pattern
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partials.push_back(state)
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elif action == ADVANCE:
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# TODO: What to do about patterns starting with ZERO? Need to
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# adjust the start position.
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state.first = token_i
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state.second = pattern + 1
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partials.push_back(state)
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elif action == ACCEPT:
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start = token_i
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end = token_i+1
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ent_id = pattern[1].attrs[0].value
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label = pattern[1].attrs[1].value
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if acceptor is None or acceptor(doc, ent_id, label, start, end):
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matches.append((ent_id, label, start, end))
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seen = set()
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filtered = []
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for label, start, end in sorted(matches, key=lambda m: (m[1], -(m[1] - m[2]))):
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for ent_id, label, start, end in sorted(matches,
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key=lambda m: (m[2],-(m[2]-m[3]))):
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if all(i in seen for i in range(start, end)):
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continue
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else:
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@ -29,6 +29,7 @@ cdef struct LexemeC:
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cdef struct Entity:
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hash_t id
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int start
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int end
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int label
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@ -53,4 +54,5 @@ cdef struct TokenC:
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uint32_t r_edge
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int ent_iob
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int ent_type
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int ent_type # TODO: Is there a better way to do this? Multiple sources of truth..
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hash_t ent_id
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@ -6,46 +6,85 @@ from spacy.matcher import *
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from spacy.attrs import LOWER
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from spacy.tokens.doc import Doc
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from spacy.vocab import Vocab
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from spacy.en import English
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@pytest.fixture
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def matcher(EN):
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def matcher():
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patterns = {
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'Javascript': ['PRODUCT', {}, [[{'ORTH': 'JavaScript'}]]],
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'JS': ['PRODUCT', {}, [[{'ORTH': 'JavaScript'}]]],
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'GoogleNow': ['PRODUCT', {}, [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]]],
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'Java': ['PRODUCT', {}, [[{'LOWER': 'java'}]]],
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}
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return Matcher(EN.vocab, patterns)
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return Matcher(Vocab(get_lex_attr=English.default_lex_attrs()), patterns)
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def test_compile(matcher):
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assert matcher.n_patterns == 3
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def test_no_match(matcher, EN):
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tokens = EN('I like cheese')
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assert matcher(tokens) == []
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def test_no_match(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'cheese', '.'])
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assert matcher(doc) == []
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def test_match_start(matcher, EN):
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tokens = EN('JavaScript is good')
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assert matcher(tokens) == [(EN.vocab.strings['PRODUCT'], 0, 1)]
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def test_match_start(matcher):
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doc = Doc(matcher.vocab, ['JavaScript', 'is', 'good'])
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assert matcher(doc) == [(matcher.vocab.strings['JS'],
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matcher.vocab.strings['PRODUCT'], 0, 1)]
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def test_match_end(matcher, EN):
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tokens = EN('I like java')
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assert matcher(tokens) == [(EN.vocab.strings['PRODUCT'], 2, 3)]
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def test_match_end(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'java'])
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assert matcher(doc) == [(doc.vocab.strings['Java'],
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doc.vocab.strings['PRODUCT'], 2, 3)]
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def test_match_middle(matcher, EN):
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tokens = EN('I like Google Now best')
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assert matcher(tokens) == [(EN.vocab.strings['PRODUCT'], 2, 4)]
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def test_match_middle(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'Google', 'Now', 'best'])
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assert matcher(doc) == [(doc.vocab.strings['GoogleNow'],
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doc.vocab.strings['PRODUCT'], 2, 4)]
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def test_match_multi(matcher, EN):
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tokens = EN('I like Google Now and java best')
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assert matcher(tokens) == [(EN.vocab.strings['PRODUCT'], 2, 4),
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(EN.vocab.strings['PRODUCT'], 5, 6)]
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def test_match_multi(matcher):
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doc = Doc(matcher.vocab, 'I like Google Now and java best'.split())
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assert matcher(doc) == [(doc.vocab.strings['GoogleNow'],
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doc.vocab.strings['PRODUCT'], 2, 4),
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(doc.vocab.strings['Java'],
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doc.vocab.strings['PRODUCT'], 5, 6)]
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def test_match_zero(matcher):
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matcher.add('Quote', '', {}, [
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[
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{'ORTH': '"'},
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{'OP': '!', 'IS_PUNCT': True},
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{'OP': '!', 'IS_PUNCT': True},
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{'ORTH': '"'}
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]])
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doc = Doc(matcher.vocab, 'He said , " some words " ...'.split())
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assert len(matcher(doc)) == 1
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doc = Doc(matcher.vocab, 'He said , " some three words " ...'.split())
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assert len(matcher(doc)) == 0
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matcher.add('Quote', '', {}, [
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[
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{'ORTH': '"'},
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{'IS_PUNCT': True},
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{'IS_PUNCT': True},
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{'IS_PUNCT': True},
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{'ORTH': '"'}
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]])
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assert len(matcher(doc)) == 0
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def test_match_zero_plus(matcher):
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matcher.add('Quote', '', {}, [
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[
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{'ORTH': '"'},
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{'OP': '*', 'IS_PUNCT': False},
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{'ORTH': '"'}
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]])
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doc = Doc(matcher.vocab, 'He said , " some words " ...'.split())
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assert len(matcher(doc)) == 1
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@pytest.mark.models
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@ -241,6 +241,27 @@ cdef class Span:
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for word in self.rights:
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yield from word.subtree
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property ent_id:
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'''An (integer) entity ID. Usually assigned by patterns in the Matcher.'''
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def __get__(self):
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return self.root.ent_id
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def __set__(self, hash_t key):
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# TODO
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raise NotImplementedError(
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"Can't yet set ent_id from Span. Vote for this feature on the issue "
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"tracker: http://github.com/spacy-io/spaCy")
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property ent_id_:
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'''A (string) entity ID. Usually assigned by patterns in the Matcher.'''
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def __get__(self):
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return self.root.ent_id_
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def __set__(self, hash_t key):
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# TODO
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raise NotImplementedError(
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"Can't yet set ent_id_ from Span. Vote for this feature on the issue "
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"tracker: http://github.com/spacy-io/spaCy")
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property orth_:
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def __get__(self):
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return ''.join([t.string for t in self]).strip()
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@ -5,10 +5,9 @@ from .doc cimport Doc
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cdef class Token:
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cdef Vocab vocab
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cdef readonly Vocab vocab
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cdef TokenC* c
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cdef readonly int i
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cdef int array_len
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cdef readonly Doc doc
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@staticmethod
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@ -58,7 +58,6 @@ cdef class Token:
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self.doc = doc
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self.c = &self.doc.c[offset]
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self.i = offset
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self.array_len = doc.length
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def __len__(self):
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return self.c.lex.length
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@ -410,6 +409,28 @@ cdef class Token:
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iob_strings = ('', 'I', 'O', 'B')
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return iob_strings[self.c.ent_iob]
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property ent_id:
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'''An (integer) entity ID. Usually assigned by patterns in the Matcher.'''
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def __get__(self):
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return self.c.ent.ent_id
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def __set__(self, hash_t key):
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# TODO
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raise NotImplementedError(
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"Can't yet set ent_id from Token. Vote for this feature on the issue "
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"tracker: http://github.com/spacy-io/spaCy")
|
||||
|
||||
property ent_id_:
|
||||
'''A (string) entity ID. Usually assigned by patterns in the Matcher.'''
|
||||
def __get__(self):
|
||||
return self.vocab.strings[self.c.ent_id]
|
||||
|
||||
def __set__(self, hash_t key):
|
||||
# TODO
|
||||
raise NotImplementedError(
|
||||
"Can't yet set ent_id_ from Token. Vote for this feature on the issue "
|
||||
"tracker: http://github.com/spacy-io/spaCy")
|
||||
|
||||
property whitespace_:
|
||||
def __get__(self):
|
||||
return ' ' if self.c.spacy else ''
|
||||
|
|
@ -507,3 +528,17 @@ cdef class Token:
|
|||
|
||||
property like_email:
|
||||
def __get__(self): return Lexeme.c_check_flag(self.c.lex, LIKE_EMAIL)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
doc = nlp('Google Now is a moribund project destined for closure.')
|
||||
|
||||
google_now = doc.ents[0] # Span instance
|
||||
|
||||
google_now.attrs['category'] == 'TECHNOLOGY'
|
||||
|
||||
ent_id = google_now.ent_id
|
||||
|
||||
attrs = nlp.matcher.get_attrs(ent_id)
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user