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	very minimal KB functionality working
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								setup.py
									
									
									
									
									
								
							
							
						
						
									
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								setup.py
									
									
									
									
									
								
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			@ -40,6 +40,7 @@ MOD_NAMES = [
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    "spacy.lexeme",
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    "spacy.vocab",
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    "spacy.attrs",
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    "spacy.kb",
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    "spacy.morphology",
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    "spacy.pipeline.pipes",
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    "spacy.syntax.stateclass",
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								spacy/kb.pxd
									
									
									
									
									
								
							
							
						
						
									
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								spacy/kb.pxd
									
									
									
									
									
								
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			@ -4,6 +4,7 @@ from preshed.maps cimport PreshMap
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from libcpp.vector cimport vector
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from libc.stdint cimport int32_t, int64_t
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from .typedefs cimport hash_t
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from .strings cimport hash_string
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# Internal struct, for storage and disambiguation. This isn't what we return
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			@ -32,10 +33,10 @@ cdef struct _EntryC:
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cdef struct _AliasC:
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    # All entry candidates for this alias
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    const vector[int64_t] entry_indices
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    vector[int64_t] entry_indices
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    # Prior probability P(entity|alias) - should sum up to (at most) 1.
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    const vector[float] probs
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    vector[float] probs
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cdef class KnowledgeBase:
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			@ -94,13 +95,21 @@ cdef class KnowledgeBase:
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                feats_row=feats_row,
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                prob=prob
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            ))
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        self._index[entity_key] = entity_index
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        self._entry_index[entity_key] = entity_index
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        return entity_index
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    cdef inline int64_t c_add_aliases(self, hash_t alias_key, vector[int64_t] entry_indices, vector[float] probs):
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    cdef inline int64_t c_add_aliases(self, hash_t alias_key, entities, probabilities):
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        """Connect a mention to a list of potential entities with their prior probabilities ."""
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        cdef int64_t alias_index = self._aliases_table.size()
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        cdef vector[int64_t] entry_indices
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        cdef vector[float] probs
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        for entity, prob in zip(entities, probs):
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            entry_index = self._entry_index[hash_string(entity)]
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            entry_indices.push_back(entry_index)
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            probs.push_back(prob)
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        self._aliases_table.push_back(
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            _AliasC(
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                entry_indices=entry_indices,
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								spacy/kb.pyx
									
									
									
									
									
								
							
							
						
						
									
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								spacy/kb.pyx
									
									
									
									
									
								
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			@ -1,34 +1,42 @@
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from .strings cimport hash_string
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# cython: profile=True
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# coding: utf8
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from preshed.maps import PreshMap
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cdef class KnowledgeBase:
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    def __init__(self):
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        self._entry_index = PreshMap()
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        self._alias_index = PreshMap()
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        self.mem = Pool()
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    def __len__(self):
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        return self._entries.size()
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    def add_entity(self, entity_id: str, float prob, vectors=None, features=None):
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    def add_entity(self, unicode entity_id, float prob, vectors=None, features=None):
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        cdef hash_t id_hash = hash_string(entity_id)
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        # TODO: more friendly check for non-unique name
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        if entity_id in self:
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        if id_hash in self._entry_index:
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            return
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        cdef hash_t id_hash = hash_string(entity_id)
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        cdef int32_t dummy_value = 342
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        self.c_add_entity(entity_key=id_hash, prob=prob, vector_rows=&dummy_value, feats_row=dummy_value)
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        # TODO self._vectors_table.get_pointer(vectors),
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        # self._features_table.get(features))
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    def add_alias(self, alias, entities, probabilities):
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    def add_alias(self, unicode alias, entities, probabilities):
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        """For a given alias, add its potential entities and prior probabilies to the KB."""
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        cdef hash_t alias_hash = hash_string(alias)
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        cdef hash_t entity_hash = 0
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        cdef int64_t entity_index = 0
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        cdef vector[int64_t] entry_indices = [self._entry_index[hash_string(entity)] for entity in entities]
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        self.c_add_aliases(alias_key=alias_hash, entry_indices=entry_indices, probs=probabilities)
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        # TODO: check that alias hadn't been defined before
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        # TODO: check that entity is already in this KB (entity_index is OK)
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        # TODO: check sum(probabilities) <= 1
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        # TODO: check len(entities) == len(probabilities)
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        self.c_add_aliases(alias_key=alias_hash, entities=entities, probabilities=probabilities)
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			@ -1,4 +1,16 @@
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import spacy
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from spacy.kb import KnowledgeBase
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def create_kb():
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    mykb = KnowledgeBase()
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    print("kb size", len(mykb))
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    entity_id = "Q42"
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    mykb.add_entity(entity_id=entity_id, prob=0.5)
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    print("adding entity", entity_id)
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    print("kb size", len(mykb))
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def add_el():
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			@ -23,4 +35,5 @@ def add_el():
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if __name__ == "__main__":
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    add_el()
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    # add_el()
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    create_kb()
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