mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-10 19:57:17 +03:00
173 lines
7.1 KiB
Cython
173 lines
7.1 KiB
Cython
"""Knowledge-base for entity or concept linking."""
|
|
from cymem.cymem cimport Pool
|
|
from preshed.maps cimport PreshMap
|
|
|
|
from libcpp.vector cimport vector
|
|
from libc.stdint cimport int32_t, int64_t
|
|
from libc.stdio cimport FILE
|
|
|
|
from spacy.vocab cimport Vocab
|
|
from .typedefs cimport hash_t
|
|
|
|
from .structs cimport KBEntryC, AliasC
|
|
ctypedef vector[KBEntryC] entry_vec
|
|
ctypedef vector[AliasC] alias_vec
|
|
ctypedef vector[float] float_vec
|
|
ctypedef vector[float_vec] float_matrix
|
|
|
|
|
|
# Object used by the Entity Linker that summarizes one entity-alias candidate combination.
|
|
cdef class Candidate:
|
|
cdef readonly KnowledgeBase kb
|
|
cdef hash_t entity_hash
|
|
cdef float entity_freq
|
|
cdef vector[float] entity_vector
|
|
cdef hash_t alias_hash
|
|
cdef float prior_prob
|
|
|
|
|
|
cdef class KnowledgeBase:
|
|
cdef Pool mem
|
|
cpdef readonly Vocab vocab
|
|
cdef int64_t entity_vector_length
|
|
|
|
# This maps 64bit keys (hash of unique entity string)
|
|
# to 64bit values (position of the _KBEntryC struct in the _entries vector).
|
|
# The PreshMap is pretty space efficient, as it uses open addressing. So
|
|
# the only overhead is the vacancy rate, which is approximately 30%.
|
|
cdef PreshMap _entry_index
|
|
|
|
# Each entry takes 128 bits, and again we'll have a 30% or so overhead for
|
|
# over allocation.
|
|
# In total we end up with (N*128*1.3)+(N*128*1.3) bits for N entries.
|
|
# Storing 1m entries would take 41.6mb under this scheme.
|
|
cdef entry_vec _entries
|
|
|
|
# This maps 64bit keys (hash of unique alias string)
|
|
# to 64bit values (position of the _AliasC struct in the _aliases_table vector).
|
|
cdef PreshMap _alias_index
|
|
|
|
# This should map mention hashes to (entry_id, prob) tuples. The probability
|
|
# should be P(entity | mention), which is pretty important to know.
|
|
# We can pack both pieces of information into a 64-bit value, to keep things
|
|
# efficient.
|
|
cdef alias_vec _aliases_table
|
|
|
|
# This is the part which might take more space: storing various
|
|
# categorical features for the entries, and storing vectors for disambiguation
|
|
# and possibly usage.
|
|
# If each entry gets a 300-dimensional vector, for 1m entries we would need
|
|
# 1.2gb. That gets expensive fast. What might be better is to avoid learning
|
|
# a unique vector for every entity. We could instead have a compositional
|
|
# model, that embeds different features of the entities into vectors. We'll
|
|
# still want some per-entity features, like the Wikipedia text or entity
|
|
# co-occurrence. Hopefully those vectors can be narrow, e.g. 64 dimensions.
|
|
cdef float_matrix _vectors_table
|
|
|
|
# It's very useful to track categorical features, at least for output, even
|
|
# if they're not useful in the model itself. For instance, we should be
|
|
# able to track stuff like a person's date of birth or whatever. This can
|
|
# easily make the KB bigger, but if this isn't needed by the model, and it's
|
|
# optional data, we can let users configure a DB as the backend for this.
|
|
cdef object _features_table
|
|
|
|
|
|
cdef inline int64_t c_add_vector(self, vector[float] entity_vector) nogil:
|
|
"""Add an entity vector to the vectors table."""
|
|
cdef int64_t new_index = self._vectors_table.size()
|
|
self._vectors_table.push_back(entity_vector)
|
|
return new_index
|
|
|
|
|
|
cdef inline int64_t c_add_entity(self, hash_t entity_hash, float freq,
|
|
int32_t vector_index, int feats_row) nogil:
|
|
"""Add an entry to the vector of entries.
|
|
After calling this method, make sure to update also the _entry_index using the return value"""
|
|
# This is what we'll map the entity hash key to. It's where the entry will sit
|
|
# in the vector of entries, so we can get it later.
|
|
cdef int64_t new_index = self._entries.size()
|
|
|
|
# Avoid struct initializer to enable nogil, cf https://github.com/cython/cython/issues/1642
|
|
cdef KBEntryC entry
|
|
entry.entity_hash = entity_hash
|
|
entry.vector_index = vector_index
|
|
entry.feats_row = feats_row
|
|
entry.freq = freq
|
|
|
|
self._entries.push_back(entry)
|
|
return new_index
|
|
|
|
cdef inline int64_t c_add_aliases(self, hash_t alias_hash, vector[int64_t] entry_indices, vector[float] probs) nogil:
|
|
"""Connect a mention to a list of potential entities with their prior probabilities .
|
|
After calling this method, make sure to update also the _alias_index using the return value"""
|
|
# This is what we'll map the alias hash key to. It's where the alias will be defined
|
|
# in the vector of aliases.
|
|
cdef int64_t new_index = self._aliases_table.size()
|
|
|
|
# Avoid struct initializer to enable nogil
|
|
cdef AliasC alias
|
|
alias.entry_indices = entry_indices
|
|
alias.probs = probs
|
|
|
|
self._aliases_table.push_back(alias)
|
|
return new_index
|
|
|
|
cdef inline void _create_empty_vectors(self, hash_t dummy_hash) nogil:
|
|
"""
|
|
Initializing the vectors and making sure the first element of each vector is a dummy,
|
|
because the PreshMap maps pointing to indices in these vectors can not contain 0 as value
|
|
cf. https://github.com/explosion/preshed/issues/17
|
|
"""
|
|
cdef int32_t dummy_value = 0
|
|
|
|
# Avoid struct initializer to enable nogil
|
|
cdef KBEntryC entry
|
|
entry.entity_hash = dummy_hash
|
|
entry.vector_index = dummy_value
|
|
entry.feats_row = dummy_value
|
|
entry.freq = dummy_value
|
|
|
|
# Avoid struct initializer to enable nogil
|
|
cdef vector[int64_t] dummy_entry_indices
|
|
dummy_entry_indices.push_back(0)
|
|
cdef vector[float] dummy_probs
|
|
dummy_probs.push_back(0)
|
|
|
|
cdef AliasC alias
|
|
alias.entry_indices = dummy_entry_indices
|
|
alias.probs = dummy_probs
|
|
|
|
self._entries.push_back(entry)
|
|
self._aliases_table.push_back(alias)
|
|
|
|
cpdef load_bulk(self, loc)
|
|
cpdef set_entities(self, entity_list, freq_list, vector_list)
|
|
|
|
|
|
cdef class Writer:
|
|
cdef FILE* _fp
|
|
|
|
cdef int write_header(self, int64_t nr_entries, int64_t entity_vector_length) except -1
|
|
cdef int write_vector_element(self, float element) except -1
|
|
cdef int write_entry(self, hash_t entry_hash, float entry_freq, int32_t vector_index) except -1
|
|
|
|
cdef int write_alias_length(self, int64_t alias_length) except -1
|
|
cdef int write_alias_header(self, hash_t alias_hash, int64_t candidate_length) except -1
|
|
cdef int write_alias(self, int64_t entry_index, float prob) except -1
|
|
|
|
cdef int _write(self, void* value, size_t size) except -1
|
|
|
|
cdef class Reader:
|
|
cdef FILE* _fp
|
|
|
|
cdef int read_header(self, int64_t* nr_entries, int64_t* entity_vector_length) except -1
|
|
cdef int read_vector_element(self, float* element) except -1
|
|
cdef int read_entry(self, hash_t* entity_hash, float* freq, int32_t* vector_index) except -1
|
|
|
|
cdef int read_alias_length(self, int64_t* alias_length) except -1
|
|
cdef int read_alias_header(self, hash_t* alias_hash, int64_t* candidate_length) except -1
|
|
cdef int read_alias(self, int64_t* entry_index, float* prob) except -1
|
|
|
|
cdef int _read(self, void* value, size_t size) except -1
|
|
|