def vis_parse(self, sent): #{{{
deps = DependenciesCollection()
parsed = sent[:]
parsed = [ROOT] + parsed
sent = [ROOT] + sent
connections = 0
mistake = False
for tok in parsed:
tok['s'] = tok['form']
fcache = {}
scache = {}
while len(parsed) > 1:
# find best action
best = -9999999
best_pair = None
scores = {}
for i, (tok1, tok2) in enumerate(zip(parsed, parsed[1:])):
tid = tok1['id']
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed, deps, i, sent)
fcache[tid] = feats
if tid in scache:
s1, s2 = scache[tid]
else:
scr = self.scorer.get_scores(feats)
s1 = scr[0]
s2 = scr[1]
scache[tid] = s1, s2
if s1 > best:
best = s1
best_pair = (tok1, tok2)
if s2 > best:
best = s2
best_pair = (tok2, tok1)
scores[(i, i + 1)] = s1
scores[(i + 1, i)] = s2
c, p = best_pair
# remove the neighbours of parent from the cache
i = parsed.index(p)
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= len(parsed): to = len(parsed) - 1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except:
pass
###
yield (self.oracle, sent, parsed, deps, scores)
# apply action
deps.add(p, c)
connections += 1
parsed = [x for x in parsed if x != c]
yield (self.oracle, sent, parsed, deps, scores)
def _build_gold(self, sent):
# build gold deps
deps = DependenciesCollection()
for token in sent[1:]:
child = token
parent = sent[child['parent']]
deps.add(parent, child)
return deps
def vis_parse(self, sent): #{{{
deps = DependenciesCollection()
parsed = sent[:]
parsed=[ROOT]+parsed
sent = [ROOT]+sent
connections = 0
mistake=False
for tok in parsed: tok['s']=tok['form']
fcache={}
scache={}
while len(parsed)>1:
# find best action
best = -9999999
best_pair = None
scores = {}
for i,(tok1,tok2) in enumerate(zip(parsed,parsed[1:])):
tid=tok1['id']
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed,deps,i,sent)
fcache[tid] = feats
if tid in scache:
s1,s2 = scache[tid]
else:
scr = self.scorer.get_scores(feats)
s1 = scr[0]
s2 = scr[1]
scache[tid]=s1,s2
if s1 > best:
best = s1
best_pair = (tok1,tok2)
if s2 > best:
best = s2
best_pair = (tok2,tok1)
scores[(i,i+1)]=s1
scores[(i+1,i)]=s2
c,p = best_pair
# remove the neighbours of parent from the cache
i = parsed.index(p)
frm=i-4
to=i+4
if frm<0: frm = 0
if to>=len(parsed):to=len(parsed)-1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except: pass
###
yield (self.oracle,sent, parsed, deps, scores)
# apply action
deps.add(p,c)
connections += 1
parsed = [x for x in parsed if x!=c]
yield (self.oracle,sent, parsed, deps, scores)
def parse_labeled(self, sent): #{{{
id_to_action_mapper = self.id_to_action_mapper
deps = DependenciesCollection()
parsed = sent[:]
parsed = [ROOT] + parsed
sent = [ROOT] + sent
scache = {}
fe = self.featExt.extract
gscore = self.scorer.get_scores
lp = len(parsed)
while lp > 1:
# find best action
_pairs = []
for i, (tok1,
tok2) in enumerate(izip(parsed, islice(parsed, 1, None))):
tid = tok1['id']
if tid in scache:
(max_score_0, max_score_1, max_lbl_0,
max_lbl_1) = scache[tid]
else:
feats = fe(parsed, deps, i, sent)
scr = gscore(feats)
scache[
tid] = scr # TODO: should I copy with dict() or is it safe?
scored = [(score, id_to_action_mapper[aid])
for (aid, score) in enumerate(scr)]
s0 = [(s, lbl) for (s, (dr, lbl)) in scored if dr == 0]
s1 = [(s, lbl) for (s, (dr, lbl)) in scored if dr == 1]
max_score_0, max_lbl_0 = max(s0)
max_score_1, max_lbl_1 = max(s1)
scache[tid] = (max_score_0, max_score_1, max_lbl_0,
max_lbl_1)
_pairs.append((max_score_0, tok1, tok2, max_lbl_0, i + 1))
_pairs.append((max_score_1, tok2, tok1, max_lbl_1, i))
best, c, p, lbl, locidx = max(_pairs)
# remove the neighbours of parent from the cache
i = locidx
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= lp: to = lp - 1
for tok in parsed[frm:to]:
try:
del scache[tok['id']]
except:
pass
# apply action
deps.add(p, c, lbl)
parsed.remove(c)
lp -= 1
return deps
def parse(self, sent): # {{{
deps = DependenciesCollection()
parsed = sent[:]
parsed = [ROOT] + parsed
sent = [ROOT] + sent
scache = {}
fcache = {}
fe = self.featExt.extract
gscore = self.scorer.get_scores
lp = len(parsed)
while lp > 1:
# find best action
_pairs = []
for i, (tok1, tok2) in enumerate(izip(parsed, islice(parsed, 1, None))):
tid = tok1['id']
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed,deps,i,sent)
fcache[tid] = feats
if tid in scache:
s1, s2 = scache[tid]
else:
scr = gscore(feats)
s1 = scr[0]
s2 = scr[1]
scache[tid] = s1, s2
_pairs.append((s1, tok1, tok2, i + 1))
_pairs.append((s2, tok2, tok1, i))
best, c, p, locidx = max(_pairs)
# remove the neighbours of parent from the cache
i = locidx
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= lp: to = lp - 1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except:
pass
# apply action
deps.add(p, c)
parsed.remove(c)
lp -= 1
return deps
def _get_state(self,
pending,
features=[],
score=float('-inf'),
clas=None,
deps=DependenciesCollection(),
valid=True):
"""
state in beam
:param pending: list of token
:param features: global features until prv action
:param score: score of this state
:param clas: class of prev action
:param deps: current deps
:param valid: is this state valid
:return: a dict
"""
# copy pending
pending = list(pending)
# copy features
features = copy.copy(features)
# copy deps
deps = copy.copy(deps)
return {
'pending': pending,
'features': features,
'score': score,
'cls': clas,
'deps': deps,
'valid': valid
}
def __init__(self,sent):
self.stack=[]
self.sent=sent
self.deps=DependenciesCollection(sent)
self.i=0
self.actions = []
self._action_scores=[]
self.cost=0
def parse(self, sent): #{{{
deps = DependenciesCollection()
parsed = sent[:]
parsed=[ROOT]+parsed
sent = [ROOT]+sent
scache={}
fe=self.featExt.extract
gscore=self.scorer.get_scores
lp = len(parsed)
while lp>1:
# find best action
_pairs=[]
for i,(tok1,tok2) in enumerate(izip(parsed,islice(parsed,1,None))):
tid=tok1['id']
if tid in scache:
s1,s2 = scache[tid]
else:
feats = fe(parsed,deps,i,sent)
scr = gscore(feats)
s1 = scr[0]
s2 = scr[1]
scache[tid]=s1,s2
_pairs.append((s1,tok1,tok2,i+1))
_pairs.append((s2,tok2,tok1,i))
best,c,p,locidx = max(_pairs)
# remove the neighbours of parent from the cache
i = locidx
frm=i-4
to=i+4
if frm<0: frm = 0
if to>=lp:to=lp-1
for tok in parsed[frm:to]:
try:
del scache[tok['id']]
except: pass
# apply action
deps.add(p,c)
parsed.remove(c)
lp-=1
return deps
def beam_parse(self, sent): # {{{
deps = DependenciesCollection()
parsed = sent[:]
parsed = [ROOT] + parsed
sent = [ROOT] + sent
fe = self.featExt.extract
gscore = self.scorer.get_scores
lp = len(parsed)
init_state = {
"scache": {},
"fcache": {},
"deps":deps,
"parsed":parsed,
"features":[],
"score":0
}
global_beam = [init_state]
for x in range(lp-1):
beam = Beam(self.beam_width)
for state in global_beam:
lc_parsed = state['parsed']
lc_fcache = state['fcache']
lc_scache = state['scache']
lc_deps = state['deps']
for i, (tok1, tok2) in enumerate(izip(lc_parsed, islice(lc_parsed, 1, None))):
tid = tok1['id']
if tid in lc_fcache:
feats = lc_fcache[tid]
else:
feats = fe(lc_parsed,lc_deps,i,sent)
lc_fcache[tid] = feats
# feats += state['features']
if tid in lc_scache:
s1,s2 = lc_scache[tid]
else:
scr = gscore(feats)
s1 = scr[0]
s2 = scr[1]
lc_scache[tid] = s1,s2
beam.add_to_beam(s1,tok1,tok2,i+1,lc_deps,lc_parsed,lc_fcache,lc_scache,feats)
beam.add_to_beam(s2, tok2, tok1, i, lc_deps, lc_parsed, lc_fcache, lc_scache,feats)
global_beam = beam.get_beams()
return global_beam[-1]["deps"]
def train(self, sent): #{{{
updates=0
sent = [ROOT]+sent
self.scorer.tick()
deps = DependenciesCollection()
parsed = sent[:]
fcache = {}
scache = {}
while len(parsed)>1: #{{{
# find best action
best = -9999999
best_pair = None
scored = []
for i,(tok1,tok2) in enumerate(zip(parsed,parsed[1:])):
tid = tok1['id']
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed,deps,i,sent)
fcache[tid]=feats
if tid in scache:
s1,s2 = scache[tid]
else:
scores = self.scorer.get_scores(feats)
s1 = scores[0]
s2 = scores[1]
scache[tid] = s1,s2
scored.append((s1,0,feats,tok1,tok2))
scored.append((s2,1,feats,tok2,tok1))
scored=sorted(scored,key=lambda (s,cls,f,t1,t2):-s)
s,cls,f,c,p = scored[0]
if self.oracle.allow_connection(sent,deps,p,c):
# remove the neighbours of parent from the cache
i = parsed.index(p)
frm=i-4
to=i+4
if frm<0: frm = 0
if to>=len(parsed):to=len(parsed)-1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except: pass
###
deps.add(p,c)
parsed = [x for x in parsed if x!=c]
else:
scache = {} # clear the cache -- numbers changed..
# find best allowable pair
for s,gcls,gf,gc,gp in scored[1:]:
if self.oracle.allow_connection(sent,deps,gp,gc):
break
self.scorer.add(f,cls,-1)
self.scorer.add(gf,gcls,1)
updates+=1
if updates>200:
print "STUCK, probably because of incomplete feature set"
print " ".join([x['form'] for x in sent])
print " ".join([x['form'] for x in parsed])
return
def train(self, sent):
updates = 0
sent = [ROOT] + sent
self.scorer.tick()
deps = DependenciesCollection()
parsed = sent[:]
fcache = {}
scache = {}
while len(parsed) > 1:
best = -999999
best_pair = None
scored = []
for i, (tok1, tok2) in enumerate(zip(parsed, parsed[1:])):
tid = tok1["id"]
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed, deps, i, sent)
fcache[tid] = feats
if tid in scache:
s1, s2 = scache[tid]
else:
scores = self.scorer.get_scores(feats)
s1 = scores[0]
s2 = scores[1]
scache[tid] = s1, s2
scored.append((s1, 0, feats, tok1, tok2))
scored.append((s2, 1, feats, tok2, tok1))
# xap xep tu lon den nho, -s
scored = sorted(scored, key=lambda (s, cls, f, t1, t2): -s)
s, cls, f, c, p = scored[0]
if self.oracle.allow_connection(sent, deps, p, c):
# remove the neighbours of parent from the cache
i = parsed.index(p)
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= len(parsed): to = len(parsed) - 1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except:
pass
###
deps.add(p, c)
parsed = [x for x in parsed if x != c]
else:
scache = {} # clear the cache -- numbers changed..
# find best allowable pair
for s, gcls, gf, gc, gp in scored[1:]:
if self.oracle.allow_connection(sent, deps, gp, gc):
break
self.scorer.add(f, cls, -1)
self.scorer.add(gf, gcls, 1)
updates += 1
if updates > 200:
print "STUCK, probably because of incomplete feature set"
print " ".join([x['form'] for x in sent])
print " ".join([x['form'] for x in parsed])
return
def train_labeled(self, sent, iter_number, explore_policy=None): #{{{
id_to_action_mapper = self.id_to_action_mapper
updates = 0
sent = [ROOT] + sent
self.scorer.tick()
deps = DependenciesCollection()
parsed = sent[:]
fcache = {}
scache = {}
while len(parsed) > 1: #{{{
# find best action
best = -9999999
best_pair = None
scored = []
for i, (tok1, tok2) in enumerate(zip(parsed, parsed[1:])):
tid = tok1['id']
if tid in fcache:
feats = fcache[tid]
else:
feats = self.featExt.extract(parsed, deps, i, sent)
fcache[tid] = feats
if tid in scache:
scores = scache[tid]
else:
scores = self.scorer.get_scores(feats)
scache[tid] = scores
for aid, score in scores.iteritems():
dr, lbl = id_to_action_mapper[aid]
if dr == 0:
scored.append((score, (aid, lbl), feats, tok1, tok2))
else:
assert (dr == 1)
scored.append((score, (aid, lbl), feats, tok2, tok1))
#print [(x[0],x[1]) for x in scored]
scored = sorted(scored, key=lambda (s, cls, f, t1, t2): -s)
s, cls, f, c, p = scored[0]
#print "selected:",cls,p['id'],c['id'],s
cost = self.oracle.action_cost(parsed, p, c, cls[1])
if cost == 0:
correct = True
else:
correct = False
scache = {} # clear the cache -- numbers changed..
# find best allowable pair
for s, gcls, gf, gc, gp in scored[1:]:
if self.oracle.action_cost(parsed, gp, gc, gcls[1]) == 0:
break
self.scorer.add(f, cls[0], -1)
self.scorer.add(gf, gcls[0], 1)
updates += 1
if updates > 200:
print "STUCK, probably because of incomplete feature set", id_to_action_mapper[
cls[0]], id_to_action_mapper[gcls[0]]
print " ".join([x['form'] for x in sent])
print " ".join([x['form'] for x in parsed])
return
if correct or (explore_policy
and explore_policy.should_explore(iter_number)):
# remove the neighbours of parent from the cache
i = parsed.index(p)
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= len(parsed): to = len(parsed) - 1
for tok in parsed[frm:to]:
try:
del fcache[tok['id']]
del scache[tok['id']]
except:
pass
###
deps.add(p, c, cls[1])
parsed = [x for x in parsed if x != c]
def parse_with_span_constraints(self, sent, spans): #{{{
"""
spans is a list of the tuples of the form (s,e)
where s and e are integers, where s is the index of the first token in the span, and e is
the index of the last token in the span.
spans may not overlap or contain each other (this is not verified).
The constraint is that all tokens in each span must share a head, and only that head may have
children outside of the span.
"""
deps = DependenciesCollection()
parsed = sent[:]
parsed = [ROOT] + parsed
sent = [ROOT] + sent
remaining_toks_in_span = {-1: 0}
for sid, (s, e) in enumerate(spans):
if e >= len(sent): continue
remaining_toks_in_span[sid] = (e - s)
for tok in sent[s:e + 1]:
tok['span_id'] = sid
scache = {}
fe = self.featExt.extract
gscore = self.scorer.get_scores
lp = len(parsed)
while lp > 1:
# find best action
_pairs = []
for i, (tok1,
tok2) in enumerate(izip(parsed, islice(parsed, 1, None))):
# if tok1,tok2 not allowed by the span constraints, skip.
# in order to be allowed, we need either:
# tok1 and tok2 inside the same span.
# tok1 and tok2 not inside any span.
# a single token in a span is not considered to be inside a span.
sid1 = tok1.get('span_id', -1)
sid2 = tok2.get('span_id', -1)
if sid1 != sid2:
if remaining_toks_in_span[
sid1] > 0 or remaining_toks_in_span[sid2] > 0:
continue
tid = tok1['id']
if tid in scache:
s1, s2 = scache[tid]
else:
feats = fe(parsed, deps, i, sent)
scr = gscore(feats)
s1 = scr[0]
s2 = scr[1]
scache[tid] = s1, s2
_pairs.append((s1, tok1, tok2, i + 1))
_pairs.append((s2, tok2, tok1, i))
best, c, p, locidx = max(_pairs)
# remove the neighbours of parent from the cache
i = locidx
frm = i - 4
to = i + 4
if frm < 0: frm = 0
if to >= lp: to = lp - 1
for tok in parsed[frm:to]:
try:
del scache[tok['id']]
except:
pass
# apply action
deps.add(p, c)
parsed.remove(c)
remaining_toks_in_span[c.get('span_id', -1)] -= 1
lp -= 1
return deps
