def multi_words_cc(dep_graph: DependencyGraph):
"""
arise on to
the "on to" should be combined
:param dep_graph:
:param oia_graph:
:return:
"""
mark_phrases = []
for node in dep_graph.nodes():
marks = []
for n, l in dep_graph.children(node, filter=lambda n, l: "cc" == l):
marks.extend(dep_graph.offsprings(n))
if not marks:
continue
if len(marks) > 1:
if any([x.UPOS in {"NOUN", "NUM", "VERB"} for x in marks]):
continue
marks.sort(key=lambda n: n.LOC)
mark_phrases.append((node, marks))
for node, marks in mark_phrases:
mark_min_loc = marks[0].LOC
mark_max_loc = marks[-1].LOC
marks = [n for n in dep_graph.nodes() if mark_min_loc <= n.LOC <= mark_max_loc]
if any([x.UPOS in {"NOUN", "NUM", "VERB"} for x in marks]):
continue
if not all([dep_graph.get_node(x.ID) for x in marks]):
continue
new_mark_node = merge_dep_nodes(marks,
UPOS=marks[0].UPOS,
LOC=marks[0].LOC
)
dep_graph.replace_nodes(marks, new_mark_node)
for mark in marks:
dep_graph.remove_dependency(node, mark)
if dep_graph.get_node(node.ID):
dep_graph.add_dependency(node, new_mark_node, "cc")
def be_adp_phrase(dep_graph: DependencyGraph):
"""
example: is for xxx
this should be not applied:
1. if xxx is adj, then be_adj_verb will be applied;
2. if xxx is NOUN, then copula_phrase will be applied
note that there may be multiple adp:
the insurgency is out of the picture
:param dep_graph:
:param oia_graph:
:return:
"""
pattern = DependencyGraph()
some_node = pattern.create_node()
adp_node = pattern.create_node(UPOS="ADP")
be_node = pattern.create_node(UPOS="AUX")
pattern.add_dependency(some_node, be_node, r'cop')
pattern.add_dependency(some_node, adp_node, r'case')
verb_phrases = []
for match in dep_graph.match(pattern):
dep_be_node = match[be_node]
dep_some_node = match[some_node]
dep_adp_nodes = [
n for n, l in dep_graph.children(
dep_some_node,
filter=lambda n, l: "case" in l and n.UPOS == "ADP")
]
if not all(dep_be_node.LOC < x.LOC < dep_some_node.LOC
for x in dep_adp_nodes):
continue
pred = [dep_be_node] + dep_adp_nodes
head = dep_be_node
verb_phrases.append((dep_some_node, pred, head))
for dep_some_node, verbs, root in verb_phrases:
if not all(dep_graph.get_node(v.ID) for v in verbs):
continue # has been processed
verb_node = merge_dep_nodes(verbs, UPOS="AUX", LOC=root.LOC)
for node in verbs:
dep_graph.remove_dependency(dep_some_node, node)
dep_graph.replace_nodes(verbs, verb_node)
dep_graph.add_dependency(dep_some_node, verb_node, "cop")
def and_or(dep_graph: DependencyGraph):
"""
:param dep_graph:
:param oia_graph:
:return:
"""
pattern = DependencyGraph()
parent_node = pattern.create_node()
some_node = pattern.create_node()
and_node = pattern.create_node(LEMMA=r"\band\b")
or_node = pattern.create_node(LEMMA=r"\bor\b")
pattern.add_dependency(parent_node, some_node, r'\bconj:\w*')
pattern.add_dependency(some_node, and_node, r'\bcc\b')
pattern.add_dependency(some_node, or_node, r'\bcc\b')
pattern.add_dependency(and_node, or_node, r'\bconj')
for match in list(dep_graph.match(pattern)):
dep_parent_node = match[parent_node]
dep_some_node = match[some_node]
dep_and_node = match[and_node]
dep_or_node = match[or_node]
rel = dep_graph.get_dependency(dep_parent_node, dep_some_node)
if not rel.startswith("conj:and") and not rel.startswith("conj:or"):
continue
and_or_nodes = [n for n in dep_graph.nodes() if dep_and_node.LOC < n.LOC < dep_or_node.LOC]
if any([node.UPOS in {"VERB", "NOUN", "ADJ", "ADP", "ADV"} for node in and_or_nodes]):
continue
and_or_nodes.append(dep_and_node)
and_or_nodes.append(dep_or_node)
and_or_nodes.sort(key=lambda n: n.LOC)
if not all([dep_graph.get_node(x.ID) for x in and_or_nodes]):
continue
new_and_or_node = merge_dep_nodes(and_or_nodes,
UPOS=dep_and_node.UPOS,
LOC=dep_and_node.LOC,
FEATS=dep_and_node.FEATS
)
dep_graph.replace_nodes(and_or_nodes, new_and_or_node)
dep_graph.set_dependency(dep_parent_node, dep_some_node, "conj:" + new_and_or_node.FORM)
def multi_word_sconj(dep_graph: DependencyGraph):
"""
:param dep_graph:
:param oia_graph:
:return:
"""
pattern = DependencyGraph()
verb_node = pattern.create_node(UPOS="VERB")
verb2_node = pattern.create_node(UPOS="VERB")
mark_node = pattern.create_node(UPOS="SCONJ")
pattern.add_dependency(verb_node, verb2_node, r'advcl:\w*')
pattern.add_dependency(verb2_node, mark_node, r'mark')
mark_phrases = []
for match in dep_graph.match(pattern):
dep_verb_node = match[verb_node]
dep_verb2_node = match[verb2_node]
dep_mark_node = match[mark_node]
if dep_mark_node.LEMMA not in dep_graph.get_dependency(dep_verb_node, dep_verb2_node).values():
continue
new_marks = list(dep_graph.offsprings(dep_mark_node))
if len(new_marks) == 1:
continue
new_marks.sort(key=lambda n: n.LOC)
mark_phrases.append((dep_verb_node, dep_verb2_node, dep_mark_node, new_marks))
for (dep_verb_node, dep_verb2_node, dep_mark_node, new_marks) in mark_phrases:
if not all([dep_graph.get_node(x.ID) for x in new_marks]):
continue
dep_graph.remove_dependency(dep_verb2_node, dep_mark_node)
dep_graph.remove_dependency(dep_verb_node, dep_verb2_node)
new_mark_node = merge_dep_nodes(new_marks,
UPOS=dep_mark_node.UPOS,
LOC=dep_mark_node.LOC
)
dep_graph.replace_nodes(new_marks, new_mark_node)
dep_graph.add_dependency(dep_verb_node, dep_verb2_node, "advcl:" + new_mark_node.LEMMA)
dep_graph.add_dependency(dep_verb2_node, new_mark_node, "mark")
def multi_words_mark(dep_graph: DependencyGraph):
"""
arise on to
the "on to" should be combined
:param dep_graph:
:param oia_graph:
:return:
"""
# print('multi_words_mark')
mark_phrases = []
for node in dep_graph.nodes():
marks = []
for n, l in dep_graph.children(node, filter=lambda n, l: "mark" in l):
marks.extend(dep_graph.offsprings(n))
if not marks:
continue
# print('multi_words_mark marks:', marks)
if len(marks) > 1:
if any([x.UPOS in {"NOUN", "NUM", "VERB", "ADJ", "ADV", "PRON"} for x in marks]):
continue
marks.sort(key=lambda n: n.LOC)
mark_phrases.append((node, marks))
for node, marks in mark_phrases:
# print('multi_words_mark marks:', marks)
if not all([dep_graph.get_node(x.ID) for x in marks]):
continue
mark_min_loc = marks[0].LOC
mark_max_loc = marks[-1].LOC
marks = [n for n in dep_graph.nodes() if mark_min_loc <= n.LOC <= mark_max_loc]
marks.sort(key=lambda n: n.LOC)
if any([x.UPOS in NOUN_UPOS for x in marks]):
continue
# print('marks:')
# for nnnn in marks:
# print(nnnn)
new_mark_node = merge_dep_nodes(marks,
UPOS=marks[0].UPOS,
LOC=marks[0].LOC
)
for mark in marks:
dep_graph.remove_dependency(node, mark)
dep_graph.replace_nodes(marks, new_mark_node)
dep_graph.add_dependency(node, new_mark_node, "mark")
def is_noun(node: OIANode, dep_graph: DependencyGraph):
"""
:param node:
:param dep_graph:
:return:
"""
if not isinstance(node, OIAWordsNode):
return False
is_noun = False
dep_ids = node.words[0].split()
for dep_id in dep_ids:
dep_node = dep_graph.get_node(dep_id)
if dep_node:
if dep_node.UPOS in NOUN_UPOS:
is_noun = True
return is_noun
def get_dep_nodes(node: OIANode, dep_graph: DependencyGraph):
"""
:param node:
:param dep_graph:
:return:
"""
if not isinstance(node, OIAWordsNode):
return []
dep_nodes = []
dep_ids = node.words[0].split()
for dep_id in dep_ids:
dep_node = dep_graph.get_node(dep_id)
if dep_node:
dep_nodes.append(dep_node)
else:
dep_nodes.append(dep_id)
return dep_nodes
def get_loc(node: OIANode, dep_graph: DependencyGraph):
"""
:param node:
:param dep_graph:
:return:
"""
if not isinstance(node, OIAWordsNode):
return None
min_loc = 1000
max_loc = 0
dep_ids = node.words[0].split()
for dep_id in dep_ids:
dep_node = dep_graph.get_node(dep_id)
if dep_node:
min_loc = min(min_loc, dep_node.LOC)
max_loc = max(max_loc, dep_node.LOC)
return [min_loc, max_loc]
def amod_xcomp_to_acl(dep_graph: DependencyGraph):
"""
something extracted by
:param dep_graph:
:param oia_graph:
:return:
"""
pattern = DependencyGraph()
noun_node = pattern.create_node(UPOS="NOUN")
adj_node = pattern.create_node(UPOS="ADJ")
verb_node = pattern.create_node(UPOS="VERB")
pattern.add_dependency(noun_node, adj_node, r'amod')
pattern.add_dependency(adj_node, verb_node, r"xcomp")
for match in list(dep_graph.match(pattern)):
dep_noun_node = match[noun_node]
dep_verb_node = match[verb_node]
dep_adj_node = match[adj_node]
try:
[
dep_graph.get_node(x.ID)
for x in [dep_noun_node, dep_verb_node, dep_adj_node]
]
except Exception as e:
# has been processed by previous match
continue
xcomp_nodes = [
n for n, l in dep_graph.children(
dep_adj_node, filter=lambda n, l: l.startswith("xcomp"))
]
mark_nodes_list = []
for dep_xcomp_node in xcomp_nodes:
mark_nodes = [
n for n, l in dep_graph.children(
dep_xcomp_node,
filter=lambda n, l: l.startswith("mark") and dep_adj_node.
LOC < n.LOC < dep_xcomp_node.LOC)
]
if mark_nodes:
mark_nodes_list.append(mark_nodes)
if len(mark_nodes_list) > 1:
raise Exception("Unexpected Situation Happened")
new_verb_nodes = [dep_adj_node]
if mark_nodes_list:
mark_nodes = mark_nodes_list[0]
new_verb_nodes.extend(mark_nodes)
new_verb_nodes.sort(key=lambda x: x.LOC)
new_verb_nodes = ["(be)"] + new_verb_nodes
new_node = merge_dep_nodes(new_verb_nodes,
UPOS="VERB",
LOC=new_verb_nodes[-1].LOC,
FEATS={"VerbForm": "Ger"})
dep_graph.replace_nodes(new_verb_nodes, new_node)
dep_graph.set_dependency(dep_noun_node, new_node, "acl")
for dep_xcomp_node in xcomp_nodes:
dep_graph.remove_dependency(dep_xcomp_node, new_node)
dep_graph.set_dependency(new_node, dep_verb_node, "obj")
def single_root(dep_graph: DependencyGraph, oia_graph: OIAGraph,
context: UD2OIAContext):
"""
:param dep_graph:
:param oia_graph:
:return:
"""
in_degrees = [(node, oia_graph.g.in_degree(node.ID))
for node in oia_graph.nodes()]
zero_degree_nodes = [n for n, degree in in_degrees if degree == 0]
if len(zero_degree_nodes) == 0:
return
elif len(zero_degree_nodes) == 1:
root = zero_degree_nodes[0]
else:
# len(zero_degree_nodes) >= 2
dists_to_root = []
for oia_node in zero_degree_nodes:
related_dep_nodes = set()
if isinstance(oia_node, OIAWordsNode):
dep_node = dep_graph.get_node_by_spans(oia_node.spans)
if dep_node:
if isinstance(dep_node, DependencyGraphNode):
related_dep_nodes.add(dep_node)
elif isinstance(dep_node, list):
for node in dep_node:
related_dep_nodes.add(node)
else:
logger.error("get_node_by_spans return type unknown.")
children = [n for n, l in oia_graph.children(oia_node)]
for child in children:
if isinstance(child, OIAWordsNode):
dep_node = dep_graph.get_node_by_spans(child.spans)
if dep_node:
if isinstance(dep_node, DependencyGraphNode):
related_dep_nodes.add(dep_node)
elif isinstance(dep_node, list):
for node in dep_node:
related_dep_nodes.add(node)
else:
logger.error(
"get_node_by_spans return type unknown.")
dep_root = dep_graph.get_node("0")
real_dep_root = next(n for n, l in dep_graph.children(dep_root))
min_dist_to_root = min([
len(
nx.shortest_path(dep_graph.g.to_undirected(),
real_dep_root.ID, dep_node.ID))
for dep_node in related_dep_nodes
])
dists_to_root.append((oia_node, min_dist_to_root))
dists_to_root.sort(key=lambda x: x[1])
root_candidates = []
min_dist = dists_to_root[0][1]
for oia_node, dist in dists_to_root:
if dist == min_dist:
root_candidates.append(oia_node)
if len(root_candidates) == 1:
root = root_candidates[0]
else:
scores = []
score_map = {":": 40, "\"": 30, ";": 20, ",": 10, "(": -10}
for cand in root_candidates:
score = -100
if any([
"func" in rel.label
for n, rel in oia_graph.children(cand)
]):
score = 100
children = [n for n, l in oia_graph.children(cand)]
dep_children = []
for child in children:
if isinstance(child, OIAWordsNode):
dep_node = dep_graph.get_node_by_spans(child.spans)
if dep_node:
if isinstance(dep_node, DependencyGraphNode):
dep_children.append(dep_node)
elif isinstance(dep_node, list):
for node in dep_node:
dep_children.append(node)
else:
logger.error(
"get_node_by_spans return type unknown.")
# check what between them
dep_children.sort(key=lambda x: x.LOC)
for node in dep_graph.nodes():
if node.LOC is None:
continue
if dep_children[0].LOC < node.LOC < dep_children[-1].LOC:
if node.FORM in score_map:
score = max(score, score_map[node.FORM])
if isinstance(cand, OIAWordsNode):
dep_node = dep_graph.get_node_by_spans(cand.spans)
if dep_node:
if isinstance(dep_node, DependencyGraphNode):
if dep_node.LEMMA in IMPORTANT_CONNECTION_WORDS:
score += 8
elif isinstance(dep_node, list):
for node in dep_node:
if node.LEMMA in IMPORTANT_CONNECTION_WORDS:
score += 8
else:
logger.error(
"get_node_by_spans return type unknown.")
elif isinstance(cand,
OIAAuxNode) and cand.label == "PARATAXIS":
score += 4
scores.append((cand, score))
scores.sort(key=lambda x: x[1], reverse=True)
top_nodes = []
for node, score in scores:
if score == scores[0][1]:
top_nodes.append(node)
if len(top_nodes) == 1:
root = top_nodes[0]
elif len(top_nodes) >= 3:
# multiple top node found, merge them to one
if all(
isinstance(node, OIAAuxNode)
and node.label == "PARATAXIS" for node in top_nodes):
next_nodes = []
for top in top_nodes:
for n, l in list(oia_graph.children(top)):
next_nodes.append(n)
oia_graph.remove_node(top)
for node in zero_degree_nodes:
if node.ID == top.ID:
zero_degree_nodes.remove(node)
root = oia_graph.add_aux("PARATAXIS")
oia_graph.add_node(root)
next_nodes.sort(key=lambda x: x.ID)
for index, second_node in enumerate(next_nodes):
oia_graph.add_argument(root, second_node, index)
else:
logger.error(
"Deep intersection point, currently cannot process")
return
# raise Exception("Two top nodes? I think it is not possible ")
else: # len(top_nodes) == 2:
# check who is prev, and who is next
dep_tops = []
for top in top_nodes:
if isinstance(top, OIAWordsNode):
dep_node = dep_graph.get_node_by_spans(top.spans)
if dep_node:
if isinstance(dep_node, DependencyGraphNode):
dep_tops.append((top, dep_node))
elif isinstance(dep_node, list):
for node in dep_node:
dep_tops.append((top, node))
else:
logger.error(
"get_node_by_spans return type unknown.")
if not len(dep_tops) >= 1:
logger.error("Multiple AUX head ")
return
dep_tops.sort(key=lambda x: x[1].LOC)
root = dep_tops[0][0]
# root obtained, change other zero-in-degree node
logger.debug("Root obtained ")
logger.debug(root)
for node in zero_degree_nodes:
# print('zero_degree_nodes:', node)
if root.ID == node.ID:
continue
if is_conj_node(node, dep_graph):
# print('is_conj_node:',node,' !!!!!!!!!!')
for child, rel in list(oia_graph.children(node)):
label = rel.label
if "pred.arg." in label:
arg_no = label.split(".")[-1]
new_rel = "as:pred.arg." + arg_no
oia_graph.remove_relation(node, child)
oia_graph.add_relation(child, node, new_rel)
continue
ref_childs = [
child for child, rel in oia_graph.children(node)
if rel.label == "ref"
]
if ref_childs:
for child in ref_childs:
oia_graph.remove_relation(node, child)
oia_graph.add_relation(child, node, "as:ref")
continue
in_degrees = [(node, oia_graph.g.in_degree(node.ID))
for node in oia_graph.nodes()]
zero_degree_nodes = [
n for n, degree in in_degrees if degree == 0 and n.ID != root.ID
]
while len(zero_degree_nodes) > 0:
logger.debug("we found zero_degree_nodes: ")
for node in zero_degree_nodes:
logger.debug(node)
root_offsprings = set(oia_graph.offsprings(root))
logger.debug("root offsprings :")
for n in root_offsprings:
logger.debug(n)
intersections = []
for node in zero_degree_nodes:
node_offspring = set(oia_graph.offsprings(node))
logger.debug("node offsprings :")
for n in node_offspring:
logger.debug(n)
intersection = root_offsprings.intersection(node_offspring)
logger.debug("we found {0} initial intersection :".format(
len(intersection)))
for n in intersection:
logger.debug(n)
if intersection:
top_intersection_point = None
parents_to_root = None
parents_to_other = None
for x in intersection:
parents = set([n for n, l in oia_graph.parents(x)])
if not parents.intersection(intersection):
top_intersection_point = x
parents_to_root = parents.intersection(root_offsprings)
parents_to_other = parents.intersection(node_offspring)
break
if top_intersection_point is None:
logger.error("It seems we have a problem ")
continue
logger.debug("we found a intersections: ")
logger.debug(top_intersection_point)
logger.debug("Its parents to root: ")
for x in parents_to_root:
logger.debug(x)
logger.debug("Its parents to other: ")
for x in parents_to_other:
logger.debug(x)
intersections.append((top_intersection_point, parents_to_root,
parents_to_other))
if len(intersections) == 0:
logger.error("seems we have disconnected compoenent")
break
# raise Exception("Unexpected situation")
for intersection_point, parents_to_root, parents_to_other in intersections:
# if node not in set([n for n, l in oia_graph.parents(intersection_point)]):
# logger.error("Deep intersection point, currently cannot process")
# # raise Exception("Deep intersection point, currently cannot process")
# continue
for node in parents_to_other:
if isinstance(node, OIAAuxNode) and node.label == "LIST":
logger.error("lets see what happens for LIST")
if len(list(oia_graph.parents(node))) != 0:
logger.error(
"it seems different with what we have thought for LIST "
)
relation = oia_graph.get_edge(node, intersection_point)
oia_graph.remove_relation(node, intersection_point)
oia_graph.add_relation(intersection_point, node,
"as:" + relation.label)
# for parent, l in list(oia_graph.parents(intersection_point)):
# if parent != node:
# oia_graph.remove_relation(parent, intersection_point)
# oia_graph.add_relation(parent, node, l.label)
elif (isinstance(node, OIAAuxNode)
and node.label == "WHETHER"):
# parents_to_root = list(oia_graph.parents_on_path(intersection_point, root))
if len(list(oia_graph.parents(node))) != 0:
logger.error(
"it seems different with what we have thought for WHETHER "
)
for parent in parents_to_root:
relation = oia_graph.get_edge(parent,
intersection_point)
oia_graph.remove_relation(parent, intersection_point)
oia_graph.add_relation(parent, node, relation.label)
else:
relation = oia_graph.get_edge(node, intersection_point)
oia_graph.remove_relation(node, intersection_point)
oia_graph.add_relation(intersection_point, node,
"as:" + relation.label)
in_degrees = [(node, oia_graph.g.in_degree(node.ID))
for node in oia_graph.nodes()]
zero_degree_nodes = [
n for n, degree in in_degrees if degree == 0 and n.ID != root.ID
]
def multi_word_fix_flat(dep_graph: DependencyGraph):
"""
:param dep_graph:
:param oia_graph:
:return:
"""
fixed_rels = {"fixed", "flat", "compound"}
phrases = []
for node in dep_graph.nodes():
parents = [n for n, l in dep_graph.parents(node,
filter=lambda n, l: any(x in l for x in fixed_rels))]
if parents:
continue
phrase = []
for n, l in dep_graph.children(node,
filter=lambda n, l: any(x in l for x in fixed_rels)):
phrase.extend(dep_graph.offsprings(n))
if not phrase:
continue
phrase.append(node)
if len(phrase) > 1:
phrase.sort(key=lambda n: n.LOC)
# min_loc = phrase[0].LOC
# max_loc = phrase[-1].LOC
# phrase = [n for n in dep_graph.nodes() if min_loc <= n.LOC <= max_loc]
phrases.append((phrase, node))
phrases.sort(key=lambda x: len(x[0]), reverse=True)
for phrase, head in phrases:
if not all([dep_graph.get_node(x.ID) for x in phrase]):
continue # already been processed
merging_nodes = set()
min_loc = 10000
max_loc = -1
for child in phrase:
if isinstance(child, DependencyGraphNode):
min_loc = min(min_loc, child.LOC)
max_loc = max(min_loc, child.LOC)
elif isinstance(child, DependencyGraphSuperNode):
min_loc = min(min_loc, min([x.LOC for x in child.nodes]))
max_loc = max(max_loc, max([x.LOC for x in child.nodes]))
merging_nodes.update(dep_graph.offsprings(child))
merged_nodes = set([n for n in merging_nodes if min_loc <= n.LOC <= max_loc])
for node in merging_nodes:
if node.LOC == min_loc - 1 and node.LEMMA in {"\"", "\'"}:
merged_nodes.add(node)
if node.LOC == max_loc + 1 and node.LEMMA in {"\"", "\'"}:
merged_nodes.add(node)
merged_nodes = list(merged_nodes)
merged_nodes.sort(key=lambda x: x.LOC)
logger.debug("multi_word_fix_flat: we are merging ")
logger.debug("\n".join(str(node) for node in merged_nodes))
logger.debug("with head \n" + str(head))
new_node = merge_dep_nodes(merged_nodes, UPOS=head.UPOS, LOC=head.LOC)
dep_graph.replace_nodes(merged_nodes, new_node)
