mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-29 03:16:31 +03:00
336 lines
7.0 KiB
Cython
336 lines
7.0 KiB
Cython
"""
|
|
Fill an array, context, with every _atomic_ value our features reference.
|
|
We then write the _actual features_ as tuples of the atoms. The machinery
|
|
that translates from the tuples to feature-extractors (which pick the values
|
|
out of "context") is in features/extractor.pyx
|
|
|
|
The atomic feature names are listed in a big enum, so that the feature tuples
|
|
can refer to them.
|
|
"""
|
|
from libc.string cimport memset
|
|
|
|
from itertools import combinations
|
|
|
|
from ..tokens cimport TokenC
|
|
from ._state cimport State
|
|
from ._state cimport get_s2, get_s1, get_s0, get_n0, get_n1, get_n2
|
|
from ._state cimport get_p2, get_p1
|
|
from ._state cimport get_e0, get_e1
|
|
from ._state cimport has_head, get_left, get_right
|
|
from ._state cimport count_left_kids, count_right_kids
|
|
|
|
|
|
from .stateclass cimport StateClass
|
|
|
|
from cymem.cymem cimport Pool
|
|
|
|
|
|
cdef inline void fill_token(atom_t* context, const TokenC* token) nogil:
|
|
if token is NULL:
|
|
context[0] = 0
|
|
context[1] = 0
|
|
context[2] = 0
|
|
context[3] = 0
|
|
context[4] = 0
|
|
context[5] = 0
|
|
context[6] = 0
|
|
context[7] = 0
|
|
context[8] = 0
|
|
context[9] = 0
|
|
context[10] = 0
|
|
context[11] = 0
|
|
else:
|
|
context[0] = token.lex.orth
|
|
context[1] = token.lemma
|
|
context[2] = token.tag
|
|
context[3] = token.lex.cluster
|
|
# We've read in the string little-endian, so now we can take & (2**n)-1
|
|
# to get the first n bits of the cluster.
|
|
# e.g. s = "1110010101"
|
|
# s = ''.join(reversed(s))
|
|
# first_4_bits = int(s, 2)
|
|
# print first_4_bits
|
|
# 5
|
|
# print "{0:b}".format(prefix).ljust(4, '0')
|
|
# 1110
|
|
# What we're doing here is picking a number where all bits are 1, e.g.
|
|
# 15 is 1111, 63 is 111111 and doing bitwise AND, so getting all bits in
|
|
# the source that are set to 1.
|
|
context[4] = token.lex.cluster & 15
|
|
context[5] = token.lex.cluster & 63
|
|
context[6] = token.dep if has_head(token) else 0
|
|
context[7] = token.lex.prefix
|
|
context[8] = token.lex.suffix
|
|
context[9] = token.lex.shape
|
|
context[10] = token.ent_iob
|
|
context[11] = token.ent_type
|
|
|
|
cdef int fill_context(atom_t* ctxt, StateClass st) except -1:
|
|
# Take care to fill every element of context!
|
|
# We could memset, but this makes it very easy to have broken features that
|
|
# make almost no impact on accuracy. If instead they're unset, the impact
|
|
# tends to be dramatic, so we get an obvious regression to fix...
|
|
fill_token(&ctxt[S2w], st.S_(2))
|
|
fill_token(&ctxt[S1w], st.S_(1))
|
|
fill_token(&ctxt[S1rw], st.R_(st.S(1), 1))
|
|
fill_token(&ctxt[S0lw], st.L_(st.S(0), 1))
|
|
fill_token(&ctxt[S0l2w], st.L_(st.S(0), 2))
|
|
fill_token(&ctxt[S0w], st.S_(0))
|
|
fill_token(&ctxt[S0r2w], st.R_(st.S(0), 2))
|
|
fill_token(&ctxt[S0rw], st.R_(st.S(0), 1))
|
|
fill_token(&ctxt[N0lw], st.L_(st.B(0), 1))
|
|
fill_token(&ctxt[N0l2w], st.L_(st.B(0), 2))
|
|
fill_token(&ctxt[N0w], st.B_(0))
|
|
fill_token(&ctxt[N1w], st.B_(1))
|
|
fill_token(&ctxt[N2w], st.B_(2))
|
|
fill_token(&ctxt[P1w], st.safe_get(st.B(0)-1))
|
|
fill_token(&ctxt[P2w], st.safe_get(st.B(0)-2))
|
|
|
|
# TODO
|
|
fill_token(&ctxt[E0w], st.E_(0))
|
|
fill_token(&ctxt[E1w], st.E_(1))
|
|
|
|
if st.stack_depth() >= 1 and not st.eol():
|
|
ctxt[dist] = min(st.S(0) - st.B(0), 5) # TODO: This is backwards!!
|
|
else:
|
|
ctxt[dist] = 0
|
|
ctxt[N0lv] = min(st.n_L(st.B(0)), 5)
|
|
ctxt[S0lv] = min(st.n_L(st.S(0)), 5)
|
|
ctxt[S0rv] = min(st.n_R(st.S(0)), 5)
|
|
ctxt[S1lv] = min(st.n_L(st.S(1)), 5)
|
|
ctxt[S1rv] = min(st.n_R(st.S(1)), 5)
|
|
|
|
ctxt[S0_has_head] = 0
|
|
ctxt[S1_has_head] = 0
|
|
ctxt[S2_has_head] = 0
|
|
if st.stack_depth() >= 1:
|
|
ctxt[S0_has_head] = st.has_head(st.S(0)) + 1
|
|
if st.stack_depth() >= 2:
|
|
ctxt[S1_has_head] = st.has_head(st.S(1)) + 1
|
|
if st.stack_depth() >= 3:
|
|
ctxt[S2_has_head] = st.has_head(st.S(2)) + 1
|
|
|
|
|
|
ner = (
|
|
(N0W,),
|
|
(P1W,),
|
|
(N1W,),
|
|
(P2W,),
|
|
(N2W,),
|
|
|
|
(P1W, N0W,),
|
|
(N0W, N1W),
|
|
|
|
(N0_prefix,),
|
|
(N0_suffix,),
|
|
|
|
(P1_shape,),
|
|
(N0_shape,),
|
|
(N1_shape,),
|
|
(P1_shape, N0_shape,),
|
|
(N0_shape, P1_shape,),
|
|
(P1_shape, N0_shape, N1_shape),
|
|
(N2_shape,),
|
|
(P2_shape,),
|
|
|
|
#(P2_norm, P1_norm, W_norm),
|
|
#(P1_norm, W_norm, N1_norm),
|
|
#(W_norm, N1_norm, N2_norm)
|
|
|
|
(P2p,),
|
|
(P1p,),
|
|
(N0p,),
|
|
(N1p,),
|
|
(N2p,),
|
|
|
|
(P1p, N0p),
|
|
(N0p, N1p),
|
|
(P2p, P1p, N0p),
|
|
(P1p, N0p, N1p),
|
|
(N0p, N1p, N2p),
|
|
|
|
(P2c,),
|
|
(P1c,),
|
|
(N0c,),
|
|
(N1c,),
|
|
(N2c,),
|
|
|
|
(P1c, N0c),
|
|
(N0c, N1c),
|
|
|
|
(E0W,),
|
|
(E0c,),
|
|
(E0p,),
|
|
|
|
(E0W, N0W),
|
|
(E0c, N0W),
|
|
(E0p, N0W),
|
|
|
|
(E0p, P1p, N0p),
|
|
(E0c, P1c, N0c),
|
|
|
|
(E0w, P1c),
|
|
(E0p, P1p),
|
|
(E0c, P1c),
|
|
(E0p, E1p),
|
|
(E0c, P1p),
|
|
|
|
(E1W,),
|
|
(E1c,),
|
|
(E1p,),
|
|
|
|
(E0W, E1W),
|
|
(E0W, E1p,),
|
|
(E0p, E1W,),
|
|
(E0p, E1W),
|
|
|
|
(P1_ne_iob,),
|
|
(P1_ne_iob, P1_ne_type),
|
|
(N0w, P1_ne_iob, P1_ne_type),
|
|
|
|
(N0_shape,),
|
|
(N1_shape,),
|
|
(N2_shape,),
|
|
(P1_shape,),
|
|
(P2_shape,),
|
|
|
|
(N0_prefix,),
|
|
(N0_suffix,),
|
|
|
|
(P1_ne_iob,),
|
|
(P2_ne_iob,),
|
|
(P1_ne_iob, P2_ne_iob),
|
|
(P1_ne_iob, P1_ne_type),
|
|
(P2_ne_iob, P2_ne_type),
|
|
(N0w, P1_ne_iob, P1_ne_type),
|
|
|
|
(N0w, N1w),
|
|
)
|
|
|
|
|
|
unigrams = (
|
|
(S2W, S2p),
|
|
(S2c6, S2p),
|
|
|
|
(S1W, S1p),
|
|
(S1c6, S1p),
|
|
|
|
(S0W, S0p),
|
|
(S0c6, S0p),
|
|
|
|
(N0W, N0p),
|
|
(N0p,),
|
|
(N0c,),
|
|
(N0c6, N0p),
|
|
(N0L,),
|
|
|
|
(N1W, N1p),
|
|
(N1c6, N1p),
|
|
|
|
(N2W, N2p),
|
|
(N2c6, N2p),
|
|
|
|
(S0r2W, S0r2p),
|
|
(S0r2c6, S0r2p),
|
|
(S0r2L,),
|
|
|
|
(S0rW, S0rp),
|
|
(S0rc6, S0rp),
|
|
(S0rL,),
|
|
|
|
(S0l2W, S0l2p),
|
|
(S0l2c6, S0l2p),
|
|
(S0l2L,),
|
|
|
|
(S0lW, S0lp),
|
|
(S0lc6, S0lp),
|
|
(S0lL,),
|
|
|
|
(N0l2W, N0l2p),
|
|
(N0l2c6, N0l2p),
|
|
(N0l2L,),
|
|
|
|
(N0lW, N0lp),
|
|
(N0lc6, N0lp),
|
|
(N0lL,),
|
|
)
|
|
|
|
|
|
s0_n0 = (
|
|
(S0W, S0p, N0W, N0p),
|
|
(S0c, S0p, N0c, N0p),
|
|
(S0c6, S0p, N0c6, N0p),
|
|
(S0c4, S0p, N0c4, N0p),
|
|
(S0p, N0p),
|
|
(S0W, N0p),
|
|
(S0p, N0W),
|
|
(S0W, N0c),
|
|
(S0c, N0W),
|
|
(S0p, N0c),
|
|
(S0c, N0p),
|
|
(S0W, S0rp, N0p),
|
|
(S0p, S0rp, N0p),
|
|
(S0p, N0lp, N0W),
|
|
(S0p, N0lp, N0p),
|
|
)
|
|
|
|
|
|
s1_n0 = (
|
|
(S1p, N0p),
|
|
(S1c, N0c),
|
|
(S1c, N0p),
|
|
(S1p, N0c),
|
|
(S1W, S1p, N0p),
|
|
(S1p, N0W, N0p),
|
|
(S1c6, S1p, N0c6, N0p),
|
|
)
|
|
|
|
|
|
s0_n1 = (
|
|
(S0p, N1p),
|
|
(S0c, N1c),
|
|
(S0c, N1p),
|
|
(S0p, N1c),
|
|
(S0W, S0p, N1p),
|
|
(S0p, N1W, N1p),
|
|
(S0c6, S0p, N1c6, N1p),
|
|
)
|
|
|
|
|
|
n0_n1 = (
|
|
(N0W, N0p, N1W, N1p),
|
|
(N0W, N0p, N1p),
|
|
(N0p, N1W, N1p),
|
|
(N0c, N0p, N1c, N1p),
|
|
(N0c6, N0p, N1c6, N1p),
|
|
(N0c, N1c),
|
|
(N0p, N1c),
|
|
)
|
|
|
|
tree_shape = (
|
|
(dist,),
|
|
(S0p, S0_has_head, S1_has_head, S2_has_head),
|
|
(S0p, S0lv, S0rv),
|
|
(N0p, N0lv),
|
|
)
|
|
|
|
trigrams = (
|
|
(N0p, N1p, N2p),
|
|
(S0p, S0lp, S0l2p),
|
|
(S0p, S0rp, S0r2p),
|
|
(S0p, S1p, S2p),
|
|
(S1p, S0p, N0p),
|
|
(S0p, S0lp, N0p),
|
|
(S0p, N0p, N0lp),
|
|
(N0p, N0lp, N0l2p),
|
|
|
|
(S0W, S0p, S0rL, S0r2L),
|
|
(S0p, S0rL, S0r2L),
|
|
|
|
(S0W, S0p, S0lL, S0l2L),
|
|
(S0p, S0lL, S0l2L),
|
|
|
|
(N0W, N0p, N0lL, N0l2L),
|
|
(N0p, N0lL, N0l2L),
|
|
)
|