-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathfeatures.py
508 lines (340 loc) · 15.3 KB
/
features.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
class Feature(object):
def __init__(self, name=None):
self.name = name
if name is None:
self.name = type(self).__name__
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
def get_idx(self, pred_word, arg_word, frame, sentence, freezed):
raise NotImplementedError("Please Implement this method")
def get_vector_batch(self, iterator, freezed=True):
feature_vectors = list()
for pred_word, arg_word, frame, sentence in iterator():
feature_idx = self.get_idx(pred_word, arg_word, frame, sentence, freezed)
feature_vectors.append({feature_idx: 1})
return feature_vectors
class ElementMixin(object):
def get_element_value(self, word):
if word is None:
return None
return word.get_element(self.element)
class EssentialVocabFeature(Feature):
def __init__(self, name=None):
super().__init__(name)
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
def get_idx(self, pred_word, arg_word, frame, sentence, freezed=False):
value = self.get_value(pred_word, arg_word, frame, sentence)
idx = self.get_idx_by_value(value)
return idx
def get_idx_by_value(self, value):
idx = self.vocab[value] if value in self.vocab else self.vocab['__DUMMY__']
return idx
def __len__(self):
return len(self.vocab)
class UniqueVocabFeature(Feature):
def __init__(self, min_count=1, name=None):
super().__init__(name)
self.vocab = dict()
self.vocab_name = self.name + '_vocab'
self.min_count = min_count
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
def get_idx(self, pred_word, arg_word, frame, sentence, freezed):
value = self.get_value(pred_word, arg_word, frame, sentence)
if not freezed and len(self.vocab) == 0:
raise ValueError('Can\'t return index if vocab is not loaded')
idx = self.vocab[value] if value in self.vocab else self.vocab['__DUMMY__']
return idx
def get_vector_batch(self, iterator, freezed=True):
if not freezed:
self.vocab['__DUMMY__'] = 0
feature_values = list()
feature_value_count = dict()
for pred_word, arg_word, frame, sentence in iterator():
feature_value = self.get_value(pred_word, arg_word, frame, sentence)
feature_values.append(feature_value)
feature_value_count[feature_value] = feature_value_count.get(feature_value, 0) +1
feature_vectors = list()
for feature_value in feature_values:
if feature_value is not None and feature_value_count[feature_value] >= self.min_count:
feature_idx = self.vocab.setdefault(feature_value, len(self.vocab))
feature_vectors.append({feature_idx: 1})
else:
feature_vectors.append({self.vocab['__DUMMY__']: 1})
else:
return super().get_vector_batch(iterator, freezed)
return feature_vectors
def get_vocab(self):
return {self.vocab_name: self.vocab.copy()}
def set_vocab(self, vocabs):
if self.vocab_name in vocabs:
self.vocab = vocabs[self.vocab_name]
def __len__(self):
return len(self.vocab)
class POSVocabFeature(EssentialVocabFeature, ElementMixin):
vocab = dict()
def __init__(self, name=None):
self.vocab = POSVocabFeature.vocab
self.element = 'gpos'
super(POSVocabFeature, self).__init__(name)
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
class LemmaVocabFeature(EssentialVocabFeature, ElementMixin):
vocab = dict()
def __init__(self, name=None):
self.vocab = LemmaVocabFeature.vocab
self.element = 'lemma'
super(LemmaVocabFeature, self).__init__(name)
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
class FormVocabFeature(EssentialVocabFeature, ElementMixin):
vocab = dict()
def __init__(self, name=None):
self.vocab = FormVocabFeature.vocab
self.element = 'form'
super(FormVocabFeature, self).__init__(name)
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
class DeprelVocabFeature(EssentialVocabFeature, ElementMixin):
vocab = dict()
def __init__(self, name=None):
self.vocab = DeprelVocabFeature.vocab
self.element = 'deprel'
super(DeprelVocabFeature, self).__init__(name)
def get_value(self, pred_word, arg_word, frame, sentence):
raise NotImplementedError("Please Implement this method")
class PredSense(UniqueVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return frame.pred
class PredPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(pred_word)
class PredDeprel(DeprelVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(pred_word)
class ArgPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(arg_word)
class ArgLeftPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
left_word = sentence.get_leftmost_dep_word(arg_word)
return self.get_element_value(left_word)
class ArgLeftForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
left_word = sentence.get_leftmost_dep_word(arg_word)
return self.get_element_value(left_word)
class ArgRightPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
right_word = sentence.get_rightmost_dep_word(arg_word)
return self.get_element_value(right_word)
class PredLemma(LemmaVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(pred_word)
class ArgLemma(LemmaVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(arg_word)
class ArgDeprel(DeprelVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(arg_word)
class PredForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(pred_word)
class ArgForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
return self.get_element_value(arg_word)
class ArgRightForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
right_word = sentence.get_rightmost_dep_word(arg_word)
return self.get_element_value(right_word)
class Position(Feature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
distance = pred_word.word_id - arg_word.word_id
if distance < 0:
return 'left'
if distance > 0:
return 'right'
return 'same'
def get_idx(self, pred_word, arg_word, frame, sentence, freezed=False):
indexes = dict(left=0, same=1, right=2)
value_index = indexes[self.get_value(pred_word, arg_word, frame, sentence)]
return value_index
def __len__(self):
return 3
class POSPath(UniqueVocabFeature):
"""PathFeature.java:
Possible Bug? first word's pos is in string, last word's pos not. Either both or None in my opinion"""
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
pred_word_id = pred_word.word_id
arg_word_id = arg_word.word_id
if pred_word_id == arg_word_id:
return ' '
pos_path_str = 'NODEP'
# 0 = UP; 1 = DOWN
up = '1' if pred_word_id < arg_word_id else '0'
for i in range(min(pred_word_id, arg_word_id)+1, max(pred_word_id, arg_word_id)):
pos_path_str += sentence.get_word(i).get_element('gpos')
pos_path_str += up
#print(pos_path_str)
return pos_path_str
class POSDepPath(UniqueVocabFeature):
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
pos_dep_path = ''
dep_path, _ = sentence.get_dep_path(pred_word, arg_word)
for word in dep_path:
pos_dep_path += word.get_element('gpos')
return pos_dep_path
class DeprelPath(UniqueVocabFeature):
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
deprel_dep_path = ''
dep_path, _ = sentence.get_dep_path(pred_word, arg_word)
for word in dep_path:
deprel_dep_path += word.get_element('deprel')
return deprel_dep_path
class PredChildFormSet(UniqueVocabFeature):
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
return ' '.join([w.get_element('form') for w in pred_word.direct_children])
class PredChildDepSet(UniqueVocabFeature):
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
return ' '.join([w.get_element('deprel') for w in pred_word.direct_children])
class PredChildPOSSet(UniqueVocabFeature):
def __init__(self):
super().__init__(min_count=3)
def get_value(self, pred_word, arg_word, frame, sentence):
return ' '.join([w.get_element('gpos') for w in pred_word.direct_children])
class PredParentForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
if pred_word.head == 0:
return None
parent_word = sentence.get_word(pred_word.head)
return self.get_element_value(parent_word)
class PredParentPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
if pred_word.head == 0:
return None
parent_word = sentence.get_word(pred_word.head)
return self.get_element_value(parent_word)
class ArgRightSiblingForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
right_sibling = sentence.get_right_sibling_word(arg_word)
return self.get_element_value(right_sibling)
class ArgLeftSiblingForm(FormVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
left_sibling = sentence.get_left_sibling_word(arg_word)
return self.get_element_value(left_sibling)
class ArgLeftSiblingPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
left_sibling = sentence.get_left_sibling_word(arg_word)
return self.get_element_value(left_sibling)
class ArgRightSiblingPOS(POSVocabFeature):
def __init__(self):
super().__init__()
def get_value(self, pred_word, arg_word, frame, sentence):
right_sibling = sentence.get_right_sibling_word(arg_word)
return self.get_element_value(right_sibling)
class LSTMFeature():
def __init__(self):
self.name = type(self).__name__
self.pos_vocab = POSVocabFeature()
self.form_vocab = FormVocabFeature()
self.deprel_vocab = DeprelVocabFeature()
def get_value(self, pred_word, arg_word, frame, sentence):
path, common_idx = sentence.get_dep_path(pred_word, arg_word)
value_path = list()
for word in path[:common_idx]:
value_path.append((word.gpos, word.form, (word.deprel, 1)))
word = path[common_idx]
value_path.append((word.gpos, word.form))
for word in path[common_idx+1:]:
value_path.append((word.gpos, word.form, (word.deprel, 0)))
return value_path
def _get_pos_vector(self, gpos):
return {self.pos_vocab.get_idx_by_value(gpos): 1}
def _get_form_vector(self, form):
idx = self.form_vocab.get_idx_by_value(form)
return {len(self.pos_vocab) + idx: 1}
def _get_deprel_vector(self, deprel, direction):
idx = self.deprel_vocab.get_idx_by_value(deprel)
offset = len(self.pos_vocab) + len(self.form_vocab) + (len(self.deprel_vocab) * direction)
return {offset + idx: 1}
def get_vectors(self, pred_word, arg_word, frame, sentence):
vectors = list()
path, common_idx = sentence.get_dep_path(pred_word, arg_word)
for word in path[:common_idx]:
vectors.append(self._get_pos_vector(word.gpos))
vectors.append(self._get_form_vector(word.form))
vectors.append(self._get_deprel_vector(word.deprel, 1))
word = path[common_idx]
vectors.append(self._get_pos_vector(word.gpos))
vectors.append(self._get_form_vector(word.form))
for word in path[common_idx+1:]:
vectors.append(self._get_pos_vector(word.gpos))
vectors.append(self._get_form_vector(word.form))
vectors.append(self._get_deprel_vector(word.deprel, 0))
return vectors
def get_vector_batch(self, iterator, freezed=True):
feature_vectors = list()
for pred_word, arg_word, frame, sentence in iterator():
feature_vector = self.get_vectors(pred_word, arg_word, frame, sentence)
feature_vectors.append(feature_vector)
return feature_vectors
def __len__(self):
return len(self.pos_vocab) + len(self.form_vocab) + (2 * len(self.deprel_vocab))
essential_vocab_features = {'form': FormVocabFeature, 'lemma': LemmaVocabFeature, 'gpos': POSVocabFeature,
'deprel': DeprelVocabFeature}
available_features = {f.__name__: f for f in [
PredSense, PredForm, PredLemma, PredPOS, PredDeprel,
ArgForm, ArgLemma, ArgPOS, ArgDeprel, ArgLeftForm, ArgRightForm, ArgLeftPOS, ArgRightPOS,
ArgRightSiblingForm, ArgLeftSiblingForm, ArgLeftSiblingPOS, ArgRightSiblingPOS,
POSPath, POSDepPath, DeprelPath,
PredChildFormSet, PredChildDepSet, PredChildPOSSet, PredParentForm, PredParentPOS,
Position
]}