def obl_modifier(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                 context: UD2OIAContext):
    """
    the adv before the verb should be processed by verb_phrase
    this converter should process the adv after the verb
    :param sentence:
    :return:
    """

    pattern = DependencyGraph()

    # TODO: it seems that in UD labeling, adv is used instead of adj for noun
    modified_node = DependencyGraphNode()
    modifier_node = DependencyGraphNode()

    pattern.add_nodes([modified_node, modifier_node])

    pattern.add_dependency(modified_node, modifier_node, r'\bobl')

    for match in dep_graph.match(pattern):

        dep_modified_node = match[modified_node]
        dep_modifier_node = match[modifier_node]

        if oia_graph.has_relation(dep_modified_node,
                                  dep_modifier_node,
                                  direct_link=False):
            continue

        oia_modified_node = oia_graph.add_words(dep_modified_node.position)
        oia_modifier_node = oia_graph.add_words(dep_modifier_node.position)

        oia_graph.add_mod(oia_modifier_node, oia_modified_node)
Ejemplo n.º 2
0
def ccomp_mark_sconj(dep_graph: DependencyGraph):
    """
    See them as they are
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()
    pred1_node = pattern.create_node(UPOS="VERB")
    pred2_node = pattern.create_node()
    sconj_node = pattern.create_node(UPOS="SCONJ")

    pattern.add_dependency(pred1_node, pred2_node, r'ccomp')
    pattern.add_dependency(pred2_node, sconj_node, 'mark')

    for match in list(dep_graph.match(pattern)):

        dep_pred1_node = match[pred1_node]
        dep_pred2_node = match[pred2_node]
        dep_sconj_node = match[sconj_node]

        if dep_sconj_node.LEMMA == "as":
            dep_graph.remove_dependency(dep_pred2_node, dep_sconj_node)
            new_verb = [dep_pred1_node, "{1}", dep_sconj_node, "{2}"]

            new_verb_node = merge_dep_nodes(new_verb,
                                            UPOS=dep_pred1_node.UPOS,
                                            LOC=dep_pred1_node.LOC)
            # print("Noun detected", noun_node.ID)
            dep_graph.replace_nodes(new_verb, new_verb_node)
Ejemplo n.º 3
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def reverse_passive_verb(dep_graph: DependencyGraph):
    """
    I'd forgotten how blown away I was by some of the songs the first time I saw it in NY.
    :param dep_graph:
    :return:
    """
    pattern = DependencyGraph()

    subj_node = pattern.create_node()
    verb_node = pattern.create_node(UPOS="VERB", FEATS={"Tense": "Past"})
    be_node = pattern.create_node(LEMMA=r"\bbe\b")

    pattern.add_dependency(verb_node, subj_node, r"\w*subj")
    pattern.add_dependency(verb_node, be_node, "cop")

    for match in list(dep_graph.match(pattern)):

        dep_subj_node = match[subj_node]
        dep_verb_node = match[verb_node]
        dep_be_node = match[be_node]

        if not (dep_verb_node.LOC < dep_subj_node.LOC < dep_be_node.LOC):
            continue

        new_verb_phrase = [dep_be_node, dep_verb_node]
        dep_new_verb = merge_dep_nodes(new_verb_phrase,
                                       UPOS="VERB",
                                       LOC=dep_be_node.LOC)
        dep_graph.replace_nodes(new_verb_phrase, dep_new_verb)
Ejemplo n.º 4
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def whose_noun(dep_graph: DependencyGraph):
    """

    :param dep_graph:
    :return:
    """

    pattern = DependencyGraph()
    noun_node = pattern.create_node(UPOS="NOUN|PROPN|PRON|X|NUM|SYM")
    owner_node = pattern.create_node()
    whose_node = pattern.create_node(LEMMA="whose")

    pattern.add_dependency(noun_node, owner_node, "nmod:poss")
    pattern.add_dependency(owner_node, whose_node, "ref")

    whose_noun_phrase = []
    for match in dep_graph.match(pattern):
        dep_owner_node = match[owner_node]
        dep_noun_node = match[noun_node]
        dep_whose_node = match[whose_node]

        whose_noun_phrase.append(
            (dep_owner_node, dep_whose_node, dep_noun_node))

    for owner, whose, noun in whose_noun_phrase:
        noun_node = merge_dep_nodes([whose, noun],
                                    UPOS=noun.UPOS,
                                    LOC=noun.LOC)
        # print("Noun detected", noun_node.ID)
        dep_graph.remove_dependency(owner_node, whose)
        dep_graph.remove_dependency(noun, owner_node, "nmod:poss")
        dep_graph.replace_nodes([whose, noun], noun_node)
def adj_modifier(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                 context: UD2OIAContext):
    """
    adj previous to noun is coped with by noun phrase
    this process the case that adj is behind the noun
    #################### a pretty little boy ########################
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    noun_node = pattern.create_node()  # UPOS="NOUN|PRON|PROPN")
    adj_node = pattern.create_node()  # UPOS="ADJ|NOUN")

    pattern.add_dependency(noun_node, adj_node, r'amod')

    for match in dep_graph.match(pattern):
        dep_noun_node = match[noun_node]
        dep_adj_node = match[adj_node]

        oia_noun_node = oia_graph.add_words(dep_noun_node.position)

        oia_adj_node = oia_graph.add_words(dep_adj_node.position)
        logger.debug("adj_modifier: ")
        logger.debug(dep_noun_node.position)
        logger.debug(oia_noun_node)
        logger.debug(dep_adj_node.position)
        logger.debug(oia_adj_node)

        oia_graph.add_mod(oia_adj_node, oia_noun_node)
Ejemplo n.º 6
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def part(dep_graph: DependencyGraph):
    """

    :param dep_graph:
    :return:
    """

    pattern = DependencyGraph()

    parent_node = pattern.create_node(UPOS="AUX|VERB")
    part_node = pattern.create_node(UPOS="PART")

    pattern.add_dependency(parent_node, part_node, r'advmod')

    for match in list(dep_graph.match(pattern)):
        dep_parent_node = match[parent_node]
        dep_part_node = match[part_node]

        new_node_list = [dep_parent_node, dep_part_node]
        new_node_list.sort(key=lambda n: n.LOC)

        new_node = merge_dep_nodes(new_node_list,
                                   UPOS=dep_parent_node.UPOS,
                                   LOC=dep_parent_node.LOC,
                                   FEATS=dep_parent_node.FEATS
                                   )

        dep_graph.replace_nodes(new_node_list, new_node)
Ejemplo n.º 7
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def separated_asas(dep_graph: DependencyGraph):
    """
    ##### Equality comparison #####
    ##### A is as X a C as B #####

    ##### the first 'as' is always the advmod of a following element, X, which is within the range of as... as #####
    ##### the second 'as' is always the dependent of B #####
    ##### B sometimes depends on the first 'as', sometimes dependts on X #####
    ##### Sometimes X has a head that is also within the range of as...as #####
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    adj_node = DependencyGraphNode(UPOS="ADJ")
    noun_node = DependencyGraphNode(UPOS="NOUN")
    as1_node = DependencyGraphNode(FORM="as")
    as2_node = DependencyGraphNode(FORM="as")
    obj_node = DependencyGraphNode()

    pattern.add_nodes([noun_node, adj_node, as1_node, as2_node, obj_node])
    pattern.add_dependency(noun_node, adj_node, r'amod')
    pattern.add_dependency(adj_node, as1_node, r'\w*advmod\w*')
    pattern.add_dependency(as1_node, obj_node, r'\w*advcl:as\w*')
    pattern.add_dependency(obj_node, as2_node, r'mark')

    as_as_pred = []
    for match in dep_graph.match(pattern):

        dep_noun_node = match[noun_node]
        dep_adj_node = match[adj_node]
        dep_as1_node = match[as1_node]
        dep_as2_node = match[as2_node]
        dep_obj_node = match[obj_node]

        if dep_as1_node.LOC < dep_adj_node.LOC < dep_noun_node.LOC < dep_as2_node.LOC < dep_obj_node.LOC:
            pred = [
                node for node in dep_graph.nodes()
                if dep_as1_node.LOC <= node.LOC <= dep_adj_node.LOC
            ]
            pred.append(dep_as2_node)
            pred.sort(key=lambda x: x.LOC)
            head = dep_adj_node

            asas_node = merge_dep_nodes(pred, UPOS="ADJ", LOC=dep_as2_node.LOC)

            as_as_pred.append(
                (pred, head, asas_node, dep_noun_node, dep_obj_node))

    for pred, head, asas_node, dep_noun_node, dep_obj_node in as_as_pred:
        dep_graph.replace_nodes(pred, asas_node)

        dep_graph.remove_dependency(asas_node, dep_obj_node)
        dep_graph.remove_dependency(dep_noun_node, asas_node)

        dep_graph.add_dependency(dep_noun_node, dep_obj_node,
                                 "acl:" + asas_node.FORM)
def acl_mod_verb(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                 context: UD2OIAContext):
    """
    this is called after adnominal_clause_mark, which means there is no mark
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    noun_node = pattern.create_node(UPOS="NOUN|PRON|PROPN|ADJ|ADV|NUM")
    # ADJ is for the cases that "many/some" are abbrv of many X/some X, representing NOUN
    # ADV is for the case of "here" for "i am here thinking xxx"
    verb_node = pattern.create_node(UPOS="VERB|AUX")
    # aux is for can, have which ommits the true verb

    pattern.add_nodes([noun_node, verb_node])

    pattern.add_dependency(noun_node, verb_node, r'acl')

    for match in dep_graph.match(pattern):

        dep_noun_node = match[noun_node]
        dep_verb_node = match[verb_node]

        if context.is_processed(dep_noun_node, dep_verb_node):
            continue

        if oia_graph.has_relation(dep_noun_node,
                                  dep_verb_node,
                                  direct_link=False):
            continue

        oia_verb_node = oia_graph.add_words(dep_verb_node.position)
        oia_noun_node = oia_graph.add_words(dep_noun_node.position)

        dep = dep_graph.get_dependency(dep_noun_node, dep_verb_node)
        labels = [x for x in dep.rels if x.startswith("acl:")]

        pred = None

        if labels:
            assert len(labels) == 1
            label = labels[0]
            pred = label.split(":")[1]
            if pred == "relcl":
                pred = None

        # if pred:
        #     # there is no mark, but we add it because it may be because of not being shared in conjunction
        #
        #     oia_pred_node = oia_graph.add_aux(pred)
        #     oia_graph.add_argument(oia_pred_node, oia_noun_node, 1, mod=True)
        #     oia_graph.add_argument(oia_pred_node, oia_verb_node, 2)
        # else:

        oia_graph.add_mod(oia_verb_node, oia_noun_node)
Ejemplo n.º 9
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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")
Ejemplo n.º 10
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def amod_obl(dep_graph: DependencyGraph):
    """
    ##### include: more than, successful by
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    noun_node = DependencyGraphNode(UPOS=r"NOUN|PRON")
    adj_node = DependencyGraphNode(UPOS="ADJ")
    adp_node = DependencyGraphNode(UPOS="ADP")
    obl_node = DependencyGraphNode()

    pattern.add_nodes([noun_node, adj_node, adp_node, obl_node])
    pattern.add_dependency(noun_node, adj_node, r'amod')
    pattern.add_dependency(adj_node, obl_node, r'obl:\w+')
    pattern.add_dependency(obl_node, adp_node, r'case')

    more_than_pred = []
    for match in dep_graph.match(pattern):

        dep_noun_node = match[noun_node]
        dep_adj_node = match[adj_node]
        dep_obl_node = match[obl_node]
        dep_adp_node = match[adp_node]

        obl_nodes = list(
            dep_graph.children(dep_adj_node, filter=lambda n, l: "obl" in l))

        if len(obl_nodes) > 1:
            # similar in form to the one
            continue

        if dep_adp_node.FORM not in dep_graph.get_dependency(
                dep_adj_node, dep_obl_node).values():
            continue

        if dep_noun_node.LOC < dep_adj_node.LOC < dep_adp_node.LOC < dep_obl_node.LOC:
            more_than_pred.append(
                (dep_noun_node, dep_adj_node, dep_obl_node, dep_adp_node))

    for dep_noun_node, dep_adj_node, dep_obl_node, dep_adp_node in more_than_pred:
        nodes = [dep_adj_node, dep_adp_node]
        more_than_pred = merge_dep_nodes(nodes,
                                         UPOS="ADP",
                                         LOC=dep_adp_node.LOC)
        dep_graph.remove_dependency(dep_noun_node, dep_adj_node)
        dep_graph.remove_dependency(dep_adj_node, dep_obl_node)

        dep_graph.replace_nodes([dep_adj_node, dep_adp_node], more_than_pred)
        dep_graph.add_dependency(dep_noun_node, dep_obl_node,
                                 "nmod:" + more_than_pred.FORM)
Ejemplo n.º 11
0
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)
Ejemplo n.º 12
0
def adverbial_clause(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                     context: UD2OIAContext):
    """
    Adverbial Clause
##### run in order to catch it. advcl with mark (in order to) #####
##### he worked hard, replacing his feud. advcl without mark #####

    :param dep_graph:
    :param oia_graph:
    :return:
    """
    pattern = DependencyGraph()
    verb_node = pattern.create_node()
    modifier_node = pattern.create_node()

    pattern.add_dependency(verb_node, modifier_node, "advcl")

    for match in list(dep_graph.match(pattern)):

        dep_verb_node = match[verb_node]
        dep_modifier_node = match[modifier_node]

        if context.is_processed(dep_verb_node, dep_modifier_node):
            continue

        oia_verb_node = oia_graph.add_words(dep_verb_node.position)
        oia_modifier_node = oia_graph.add_words(dep_modifier_node.position)

        logger.debug("adverbial clause: verb={0}, modifier={1}".format(
            dep_verb_node.position, dep_modifier_node.position))

        if oia_graph.has_relation(oia_verb_node, oia_modifier_node):
            continue

        mark = list(
            dep_graph.children(dep_modifier_node,
                               filter=lambda n, rel: "mark" in rel))

        if mark:
            mark, rel = mark[0]
            pred_node = oia_graph.add_words(mark.position)
            if pred_node is None:
                continue

            if mark.LEMMA in CONJUNCTION_WORDS[language]:
                continue

            oia_graph.add_argument(pred_node, oia_verb_node, 1, mod=True)
            oia_graph.add_argument(pred_node, oia_modifier_node, 2)
        else:

            oia_graph.add_mod(oia_modifier_node, oia_verb_node)
Ejemplo n.º 13
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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 it_verb_clause(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                   context: UD2OIAContext):
    """
    ##### Expletive #####
    ##### it is xxx to do  #####
    #####  #####
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    it_node = pattern.create_node(LEMMA="it")
    verb_node = pattern.create_node(UPOS="VERB")
    subj_node = pattern.create_node(UPOS="NOUN|PRON|PROPN|VERB")

    pattern.add_dependency(verb_node, it_node, r'expl')
    pattern.add_dependency(verb_node, subj_node, r'nsubj|csubj')

    for match in dep_graph.match(pattern):

        dep_verb_node, dep_it_node, dep_subj_node = \
            [match[x] for x in [verb_node, it_node, subj_node]]

        if context.is_processed(dep_verb_node, dep_it_node):
            continue

        oia_it_node = oia_graph.add_words(dep_it_node.position)
        oia_subj_node = oia_graph.add_words(dep_subj_node.position)
        # oia_that_node = oia_graph.add_word_with_head(dep_that_node)
        oia_verb_node = oia_graph.add_words(dep_verb_node.position)

        if dep_it_node.LOC < dep_subj_node.LOC:
            # it VERB subj that ...

            oia_graph.add_argument(oia_verb_node, oia_it_node, 1)
            oia_graph.add_argument(oia_verb_node, oia_subj_node, 1)
            oia_graph.add_ref(oia_it_node, oia_subj_node)
        else:
            # subj VERB it that ...
            oia_graph.add_argument(oia_verb_node, oia_it_node, 2)
            oia_graph.add_argument(oia_verb_node, oia_subj_node, 2)
            oia_graph.add_ref(oia_it_node, oia_subj_node)

        # dep_graph.remove_dependency(dep_verb_node, dep_subj_node)

        context.processed(dep_verb_node, dep_it_node)
        context.processed(dep_verb_node, dep_subj_node)
def nmod_with_case(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                   context: UD2OIAContext):
    """

    #################### nmod:x ########################

    ##### the office of the chair #####
    ##### Istanbul in Turkey #####
    :param sentence:
    :return:
    """

    pattern = DependencyGraph()

    parent_node = DependencyGraphNode()
    child_node = DependencyGraphNode()
    case_node = DependencyGraphNode()

    pattern.add_nodes([parent_node, child_node, case_node])

    pattern.add_dependency(parent_node, child_node, r'\w*nmod\w*')
    pattern.add_dependency(child_node, case_node, r'\w*case\w*')

    for match in dep_graph.match(pattern):

        dep_parent_node = match[parent_node]
        dep_child_node = match[child_node]
        dep_case_node = match[case_node]

        rel = dep_graph.get_dependency(dep_parent_node, dep_child_node)

        # vs, lemma = versus
        # according, lemma = accord,
        # but rel always select the shorter one

        if oia_graph.has_relation(dep_parent_node, dep_child_node):
            continue

        if rel != "nmod:" + dep_case_node.LEMMA and rel != 'nmod:' + dep_case_node.FORM:
            pred_node = oia_graph.add_words(dep_case_node.position)
        else:
            pred_node = oia_graph.add_words(dep_case_node.position)

        arg1_node = oia_graph.add_words(dep_parent_node.position)
        arg2_node = oia_graph.add_words(dep_child_node.position)

        oia_graph.add_argument(pred_node, arg1_node, 1, mod=True)
        oia_graph.add_argument(pred_node, arg2_node, 2)
Ejemplo n.º 16
0
def oblique_without_prep(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                         context: UD2OIAContext):
    """

    :param dep_graph:
    :param oia_graph:
    :return:
    """

    # cut X by a knife
    pattern = DependencyGraph()
    verb_node = DependencyGraphNode(UPOS="VERB|NOUN|ADJ|PROPN|PRON")
    oblique_node = DependencyGraphNode()
    pattern.add_node(verb_node)
    pattern.add_node(oblique_node)
    pattern.add_dependency(verb_node, oblique_node, r'obl:tmod|obl:npmod|obl')

    for match in dep_graph.match(pattern):

        dep_verb_node = match[verb_node]
        dep_oblique_node = match[oblique_node]

        if oia_graph.has_relation(dep_verb_node,
                                  dep_oblique_node,
                                  direct_link=False):
            continue

        oblique_edge = dep_graph.get_dependency(dep_verb_node,
                                                dep_oblique_node)
        oblique_types = oblique_edge.values()

        if "tmod" in oblique_types:

            oia_pred_node = oia_graph.add_aux("TIME_IN")

            arg1_node = oia_graph.add_words(dep_verb_node.position)
            arg2_node = oia_graph.add_words(dep_oblique_node.position)

            oia_graph.add_argument(oia_pred_node, arg1_node, 1, mod=True)
            oia_graph.add_argument(oia_pred_node, arg2_node, 2)

        else:  # "npmod" in oblique_types and others

            oia_verb_node = oia_graph.add_words(dep_verb_node.position)
            obl_node = oia_graph.add_words(dep_oblique_node.position)

            oia_graph.add_mod(obl_node, oia_verb_node)
Ejemplo n.º 17
0
def xcomp_verb(dep_graph: DependencyGraph):
    """

    :param dep_graph:
    :return:
    """

    pattern = DependencyGraph()

    pred_node = pattern.create_node()
    xcomp_verb_node = pattern.create_node(UPOS="VERB|AUX")
    xcomp_mark_node = pattern.create_node(UPOS="PART")

    pattern.add_dependency(pred_node, xcomp_verb_node, "xcomp")
    pattern.add_dependency(xcomp_verb_node, xcomp_mark_node, "mark")

    for match in list(dep_graph.match(pattern)):

        dep_pred_node = match[pred_node]
        dep_xcomp_verb_node = match[xcomp_verb_node]
        dep_xcomp_mark_node = match[xcomp_mark_node]

        if dep_xcomp_mark_node.LEMMA != "to":
            # print('--------------------------LEMMA:      ',dep_xcomp_mark_node.LEMMA)
            # raise Exception("Unexpected Situation: xcomp mark != to let's throw out to see what happens")
            continue

        if dep_xcomp_mark_node.LOC > dep_xcomp_verb_node.LOC:
            raise Exception(
                "Unexpected Situation: xcomp mark after the xcomp verb")

        pred_nodes = list(
            dep_graph.parents(dep_xcomp_verb_node,
                              filter=lambda n, l: "xcomp" in l))

        if len(pred_nodes) > 1:
            raise Exception(
                "Unexpected Situation: Multiple xcomp parents found")

        new_verb_phrase = [dep_xcomp_mark_node, dep_xcomp_verb_node]
        dep_new_verb = merge_dep_nodes(new_verb_phrase,
                                       UPOS="VERB",
                                       LOC=dep_xcomp_verb_node.LOC)
        dep_graph.replace_nodes(new_verb_phrase, dep_new_verb)
Ejemplo n.º 18
0
def such_that(dep_graph: DependencyGraph):
    """
    ##### such a high price that
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    noun_node = DependencyGraphNode(UPOS="NOUN")
    such_node = DependencyGraphNode(FORM="such")
    clause_pred_node = DependencyGraphNode(UPOS="VERB")
    that_node = DependencyGraphNode(FORM="that")

    pattern.add_nodes([noun_node, such_node, clause_pred_node, that_node])
    pattern.add_dependency(noun_node, such_node, r'det:predet')
    pattern.add_dependency(such_node, clause_pred_node, r'advcl:that')
    pattern.add_dependency(clause_pred_node, that_node, r'mark')

    such_that_pred = []
    for match in dep_graph.match(pattern):

        dep_noun_node = match[noun_node]
        dep_such_node = match[such_node]
        dep_clause_pred_node = match[clause_pred_node]
        dep_that_node = match[that_node]

        if dep_such_node.LOC < dep_noun_node.LOC < dep_that_node.LOC < dep_clause_pred_node.LOC:
            such_that_pred.append((dep_noun_node, dep_such_node,
                                   dep_clause_pred_node, dep_that_node))

    for dep_noun_node, dep_such_node, dep_clause_pred_node, dep_that_node in such_that_pred:
        nodes = [dep_such_node, dep_that_node]
        such_that_pred = merge_dep_nodes(nodes,
                                         UPOS="SCONJ",
                                         LOC=dep_that_node.LOC)
        dep_graph.add_node(such_that_pred)
        dep_graph.add_dependency(dep_noun_node, dep_clause_pred_node,
                                 "advcl:" + such_that_pred.FORM)
        dep_graph.add_dependency(dep_clause_pred_node, such_that_pred, "mark")

        dep_graph.remove_node(dep_such_node)
        dep_graph.remove_node(dep_that_node)
def adv_question(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                 context: UD2OIAContext):
    """

    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    question_node = pattern.create_node(
        UPOS="ADV|ADJ",
        LEMMA=r"(\bhow\b|\bwhat\b|\bwhere\b|\bwhen\b|why\b)\w*")
    verb_node = pattern.create_node(UPOS="VERB|AUX")
    # subj_node = pattern.create_node()

    pattern.add_dependency(verb_node, question_node, "advmod|amod")
    # pattern.add_dependency(verb_node, subj_node, r"\w*subj")

    for match in list(dep_graph.match(pattern)):

        dep_question_node, dep_verb_node = \
            [match[x] for x in (question_node, verb_node)]

        #        if not dep_question_node.LOC < dep_subj_node.LOC:
        #            # not a question
        #            continue

        oia_question_node = oia_graph.add_words(dep_question_node.position)
        oia_verb_node = oia_graph.add_words(dep_verb_node.position)

        oia_graph.remove_relation(oia_verb_node, oia_question_node)

        for parent, rel in list(oia_graph.parents(oia_verb_node)):

            if rel.mod:
                continue

            oia_graph.remove_relation(parent, oia_verb_node)
            oia_graph.add_relation(parent, oia_question_node, rel)

        oia_graph.add_function(oia_question_node, oia_verb_node)
Ejemplo n.º 20
0
def det_of_noun(dep_graph: DependencyGraph):
    """
    any/some/all of noun
    :param dep_graph:
    :return:
    """
    pattern = DependencyGraph()
    det_node = pattern.create_node(UPOS="DET")
    of_node = pattern.create_node(LEMMA="of")
    noun2_node = pattern.create_node(UPOS="NOUN|PROPN|PRON|X|NUM|SYM")

    pattern.add_dependency(det_node, noun2_node, "nmod:of")
    pattern.add_dependency(noun2_node, of_node, "case")

    for match in list(dep_graph.match(pattern)):

        dep_det_node = match[det_node]
        dep_noun2_node = match[noun2_node]
        dep_of_node = match[of_node]

        if not all([dep_det_node, dep_noun2_node, dep_of_node]):
            # processed by others
            continue

        if isinstance(dep_noun2_node,
                      DependencyGraphSuperNode) and dep_noun2_node.is_conj:
            continue

        dep_noun2_parents = [
            parent for parent, rel in dep_graph.parents(dep_noun2_node)
        ]
        if len(dep_noun2_parents) == 1:
            assert dep_noun2_parents[0] == dep_det_node

            new_noun_nodes = [dep_det_node, dep_of_node, dep_noun2_node]

            new_noun = merge_dep_nodes(new_noun_nodes,
                                       UPOS=dep_det_node.UPOS,
                                       FEATS=dep_det_node.FEATS,
                                       LOC=dep_det_node.LOC)

            dep_graph.replace_nodes(new_noun_nodes, new_noun)
Ejemplo n.º 21
0
def be_not_phrase(dep_graph: DependencyGraph):
    """TODO: add doc string
    """
    pattern = DependencyGraph()

    be_node = pattern.create_node()  # contain the be verb
    obj_node = pattern.create_node()
    # not_node = pattern.create_node(UPOS="PART")
    not_node = pattern.create_node()

    pattern.add_node(be_node)
    pattern.add_node(obj_node)
    pattern.add_node(not_node)

    pattern.add_dependency(be_node, obj_node, r'\w*obj\w*')
    pattern.add_dependency(obj_node, not_node, r'\w*advmod\w*')

    be_not = []
    for match in dep_graph.match(pattern):
        # print("be_not_phrase match !!!!!!!!!!!!!!")
        dep_be_node = match[be_node]
        dep_obj_node = match[obj_node]
        dep_not_node = match[not_node]

        if not "be" in dep_be_node.LEMMA.split(" "):
            continue

        if not "not" in dep_not_node.LEMMA.split(" "):
            continue

        if (dep_not_node.LOC > dep_obj_node.LOC) or (dep_be_node.LOC >
                                                     dep_not_node.LOC):
            continue
        be_not.append((dep_be_node, dep_obj_node, dep_not_node))

    for dep_be_node, dep_obj_node, dep_not_node in be_not:
        dep_graph.remove_dependency(dep_obj_node, dep_not_node, 'advmod')
        verb_node = merge_dep_nodes((dep_be_node, dep_not_node),
                                    UPOS=dep_be_node.UPOS,
                                    LOC=dep_be_node.LOC)
        dep_graph.replace_nodes([dep_be_node, dep_not_node], verb_node)
def it_be_adjv_that(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                    context: UD2OIAContext):
    """
    ##### Expletive #####
    ##### it is xxx that #####
    #####  #####
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    it_node = pattern.create_node(LEMMA="it")
    be_node = pattern.create_node(UPOS="VERB")
    csubj_node = pattern.create_node(UPOS="ADJ|ADV")
    that_node = pattern.create_node(LEMMA="that")

    pattern.add_dependency(be_node, it_node, r'expl')
    pattern.add_dependency(be_node, csubj_node, r'csubj')
    pattern.add_dependency(csubj_node, that_node, r'mark')

    for match in dep_graph.match(pattern):
        dep_be_node, dep_it_node, dep_that_node, dep_csubj_node = \
            [match[x] for x in [be_node, it_node, that_node, csubj_node]]

        if context.is_processed(dep_be_node, dep_it_node):
            continue

        oia_it_node = oia_graph.add_words(dep_it_node.position)
        oia_csubj_node = oia_graph.add_words(dep_csubj_node.position)
        # oia_that_node = oia_graph.add_word_with_head(dep_that_node)
        oia_be_node = oia_graph.add_words(dep_be_node.position)

        oia_graph.add_argument(oia_be_node, oia_it_node, 1)

        oia_graph.add_ref(oia_csubj_node, oia_it_node)

        context.processed(dep_be_node, dep_it_node)
def nmod_without_case(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                      context: UD2OIAContext):
    """

    #################### nmod:x ########################

    :param sentence:
    :return:
    """

    pattern = DependencyGraph()

    center_node = pattern.create_node()
    modifier_node = pattern.create_node()

    pattern.add_dependency(center_node, modifier_node, r'\w*nmod\w*')

    for match in dep_graph.match(pattern):

        dep_center_node = match[center_node]
        dep_modifier_node = match[modifier_node]

        rels = dep_graph.get_dependency(dep_center_node, dep_modifier_node)

        if "nmod:poss" in rels and dep_center_node in set(
                dep_graph.offsprings(dep_modifier_node)):
            # whose in there
            continue

        if oia_graph.has_relation(dep_center_node,
                                  dep_modifier_node,
                                  direct_link=False):
            continue

        oia_center_node = oia_graph.add_words(dep_center_node.position)
        oia_modifier_node = oia_graph.add_words(dep_modifier_node.position)

        oia_graph.add_mod(oia_modifier_node, oia_center_node)
Ejemplo n.º 24
0
def num_pair(dep_graph: DependencyGraph):
    """

    :param dep_graph:
    :param oia_graph:
    :return:
    """
    pattern = DependencyGraph()

    num1_node = pattern.create_node(UPOS="NUM")
    num2_node = pattern.create_node(UPOS="NUM")
    case_node = pattern.create_node(LEMMA=r"--|-|by")

    pattern.add_dependency(num1_node, num2_node, r'nmod')
    pattern.add_dependency(num2_node, case_node, r'case')

    num_intervals = []

    for match in dep_graph.match(pattern):

        dep_num1_node = match[num1_node]
        dep_num2_node = match[num2_node]
        dep_case_node = match[case_node]

        if dep_num1_node.LOC < dep_case_node.LOC < dep_num2_node.LOC or \
                dep_num2_node.LOC < dep_case_node.LOC < dep_num1_node.LOC:
            interval = [dep_num1_node, dep_case_node, dep_num2_node]
            interval.sort(key=lambda x: x.LOC)
            num_intervals.append(interval)

    for interval in num_intervals:
        interval_node = merge_dep_nodes(interval,
                                        UPOS="NOUN",
                                        LOC=interval[-1].LOC
                                        )

        dep_graph.replace_nodes(interval, interval_node)
Ejemplo n.º 25
0
def object_relative_clause(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                           context: UD2OIAContext):
    """
    ##### Object-extracted/referred relative clause #####
    ##### the person that Andy knows #####
    :param sentence:
    :return:
    """

    pattern = DependencyGraph()
    verb_node = DependencyGraphNode()
    entity_node = DependencyGraphNode()
    subj_node = DependencyGraphNode()

    pattern.add_nodes([verb_node, entity_node, subj_node])

    pattern.add_dependency(verb_node, subj_node, r'\w*subj\w*')
    pattern.add_dependency(entity_node, verb_node, r'\w*acl:relcl\w*')

    for match in dep_graph.match(pattern):

        dep_entity_node = match[entity_node]
        dep_subj_node = match[subj_node]
        dep_verb_node = match[verb_node]

        if dep_subj_node.LEMMA in {"what", "who", "which", "that"}:
            continue

        logger.debug("we found a objective relative clause")
        logger.debug("entity: {0}".format(dep_entity_node))
        logger.debug("subject: {0}".format(dep_subj_node))
        logger.debug("verb: {0}".format(dep_verb_node))

        if context.is_processed(dep_entity_node, dep_verb_node):
            logger.debug("processed")
            continue

        context.processed(dep_verb_node, dep_subj_node)
        context.processed(dep_entity_node, dep_verb_node)

        oia_entity_node = oia_graph.add_words(dep_entity_node.position)
        oia_verb_node = oia_graph.add_words(dep_verb_node.position)
        oia_subj_node = oia_graph.add_words(dep_subj_node.position)

        if oia_graph.has_relation(oia_entity_node, oia_verb_node):
            logger.debug("has relation between entity and verb")
            continue

        oia_graph.add_argument(oia_verb_node, oia_subj_node, 1)

        def __valid_ref(n, l):
            return l == "ref" and dep_entity_node.LOC < n.LOC < dep_verb_node.LOC

        ref_nodes = list(n for n, l in dep_graph.children(dep_entity_node,
                                                          filter=__valid_ref))
        ref_nodes.sort(key=lambda x: x.LOC)

        if ref_nodes:
            ref_node = ref_nodes[-1]

            oia_ref_node = oia_graph.add_words(ref_node.position)

            oia_graph.add_ref(oia_entity_node, oia_ref_node)

            logger.debug("we are coping with ref between:")
            logger.debug(dep_verb_node)
            logger.debug(ref_node)

            ref_relation = dep_graph.get_dependency(dep_verb_node, ref_node)

            case_nodes = list(n for n, l in dep_graph.children(
                ref_node, filter=lambda n, l: "case" in l))
            case_nodes.sort(key=lambda x: x.LOC)

            if ref_relation:
                if case_nodes:
                    # with which xxxx, the with will become the root pred
                    case_node = case_nodes[-1]
                    oia_case_node = oia_graph.add_words(case_node.position)

                    oia_graph.add_argument(oia_case_node,
                                           oia_verb_node,
                                           1,
                                           mod=True)
                    oia_graph.add_argument(oia_case_node, oia_ref_node, 2)
                    oia_graph.add_mod(oia_verb_node, oia_entity_node)
                else:

                    if "obj" in ref_relation:
                        oia_graph.add_argument(oia_verb_node, oia_ref_node, 2)
                    elif ref_relation == "advmod":
                        oia_graph.add_mod(oia_ref_node, oia_verb_node)
                    else:
                        raise Exception(
                            "unknown relation: {}".format(ref_relation))
                    # oia_graph.add_argument(oia_verb_node, oia_entity_node, 2, mod=True)

        oia_graph.add_argument(oia_verb_node, oia_subj_node, 1)
        oia_graph.add_argument(oia_verb_node, oia_entity_node, 2, mod=True)

        rels = dep_graph.get_dependency(dep_entity_node, dep_verb_node)

        #if rels.endswith("obj"):
        for node, l in dep_graph.children(dep_verb_node):
            if l == "ccomp":
                oia_ccomp_node = oia_graph.add_words(node.position)
                oia_graph.add_argument(oia_verb_node, oia_ccomp_node, 3)
Ejemplo n.º 26
0
def noun_of_noun(dep_graph: DependencyGraph):
    """

    :param dep_graph:
    :return:
    """
    pattern = DependencyGraph()
    noun1_node = pattern.create_node(UPOS="NOUN|PROPN|PRON|X|NUM|SYM")
    of_node = pattern.create_node(LEMMA="of")
    noun2_node = pattern.create_node(UPOS="NOUN|PROPN|PRON|X|NUM|SYM")

    pattern.add_dependency(noun1_node, noun2_node, "nmod:of")
    pattern.add_dependency(noun2_node, of_node, "case")

    merged_map = dict()

    #    need_merge = []
    for match in list(dep_graph.match(pattern)):

        dep_noun1_node = match[noun1_node]
        if dep_noun1_node in merged_map:
            dep_noun1_node = merged_map[dep_noun1_node]

        dep_noun2_node = match[noun2_node]
        if dep_noun2_node in merged_map:
            dep_noun2_node = merged_map[dep_noun2_node]

        dep_of_node = match[of_node]

        if not all([dep_noun1_node, dep_noun2_node, dep_of_node]):
            # processed by others
            continue

        involved_in_complex_structure = False
        for child, rel in dep_graph.children(dep_noun2_node):
            if "conj" in rel or "acl" in rel:
                involved_in_complex_structure = True

        for parent, rel in dep_graph.parents(dep_noun2_node):
            if "conj" in rel or "acl" in rel:
                involved_in_complex_structure = True

        if involved_in_complex_structure:
            continue

        if isinstance(dep_noun1_node,
                      DependencyGraphSuperNode) and dep_noun1_node.is_conj:
            continue

        if isinstance(dep_noun2_node,
                      DependencyGraphSuperNode) and dep_noun2_node.is_conj:
            continue

        dep_noun2_parents = [
            parent for parent, rel in dep_graph.parents(dep_noun2_node)
        ]
        if len(dep_noun2_parents) == 1:
            if dep_noun2_parents[0] != dep_noun1_node:
                logger.error("dep_noun1 {0} {1}".format(
                    dep_noun1_node.ID, dep_noun1_node.FORM))
                logger.error("dep_noun2 {0} {1}".format(
                    dep_noun2_node.ID, dep_noun2_node.FORM))
                logger.error("dep_noun2_parent {0} {1}".format(
                    dep_noun2_parents[0].ID, dep_noun2_parents[0].FORM))
                raise Exception("Noun of Noun failed")

            new_noun_nodes = [dep_noun1_node, dep_of_node, dep_noun2_node]
            # <<<<<<< HEAD

            new_noun = merge_dep_nodes(new_noun_nodes,
                                       UPOS=dep_noun1_node.UPOS,
                                       FEATS=dep_noun1_node.FEATS,
                                       LOC=dep_noun1_node.LOC)

            dep_graph.replace_nodes(new_noun_nodes, new_noun)
            for node in new_noun_nodes:
                merged_map[node] = new_noun

            logger.debug("node merged :" + " ".join(
                [dep_noun1_node.ID, dep_of_node.ID, dep_noun2_node.ID]))
Ejemplo n.º 27
0
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")
Ejemplo n.º 28
0
def acl_verb_obl_case(dep_graph: DependencyGraph):
    """
    something extracted by
    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    subj_node = pattern.create_node()
    verb_node = pattern.create_node(UPOS="VERB")
    obj_node = pattern.create_node()
    case_node = pattern.create_node()

    pattern.add_dependency(subj_node, verb_node, r'acl')
    pattern.add_dependency(verb_node, obj_node, r'obl:\w*')
    pattern.add_dependency(obj_node, case_node, r'case')

    phrases = []

    for match in dep_graph.match(pattern):

        dep_subj_node = match[subj_node]
        dep_verb_node = match[verb_node]
        dep_obj_node = match[obj_node]
        dep_case_node = match[case_node]

        obl_nodes = [
            n for n, l in dep_graph.children(
                dep_verb_node, filter=lambda n, l: l.startswith("obl"))
        ]
        if len(obl_nodes) > 1:
            continue

        existing_obj_nodes = [
            n for n, l in dep_graph.children(
                dep_verb_node, filter=lambda n, l: "obj" in l or "comp" in l)
        ]
        if existing_obj_nodes:
            continue

        obl_rel = dep_graph.get_dependency(dep_verb_node, dep_obj_node)

        if dep_case_node.FORM not in obl_rel.values():
            continue

        # there are may be other cases, join them all
        dep_case_nodes = [
            n for n, l in
            dep_graph.children(dep_obj_node,
                               filter=lambda n, l: l.startswith("case") and
                               dep_verb_node.LOC < n.LOC < dep_obj_node.LOC)
        ]

        subjs = list(
            dep_graph.children(dep_verb_node, filter=lambda n, l: "subj" in l))

        if len(subjs) > 1:
            continue

        phrases.append(
            (dep_subj_node, dep_verb_node, dep_obj_node, dep_case_nodes))

    for dep_subj_node, dep_verb_node, dep_obj_node, dep_case_nodes in phrases:
        new_verb_phrase = [dep_verb_node] + dep_case_nodes
        logging.debug("acl_verb_obl_case: we are merging nodes")
        logging.debug("\n".join(str(node) for node in new_verb_phrase))

        new_verb_node = merge_dep_nodes(new_verb_phrase,
                                        UPOS=dep_verb_node.UPOS,
                                        LOC=dep_verb_node.LOC,
                                        FEATS=dep_verb_node.FEATS)

        logging.debug("acl_verb_obl_case: we obtain a new node")
        logging.debug(str(new_verb_node))

        dep_graph.remove_dependency(dep_verb_node, dep_obj_node)
        for node in dep_case_nodes:
            dep_graph.remove_dependency(dep_obj_node, node)

        dep_graph.replace_nodes(new_verb_phrase, new_verb_node)
        dep_graph.add_dependency(new_verb_node, dep_obj_node, "obj")
def adv_verb_modifier(dep_graph: DependencyGraph, oia_graph: OIAGraph,
                      context: UD2OIAContext):
    """
    the adv before the verb should be processed by verb_phrase
    this converter should process the adv after the verb
    verb1 in order to verb2
    :param sentence:
    :return:
    """

    pattern = DependencyGraph()

    # TODO: it seems that in UD labeling, adv is used instead of adj for noun
    verb_node = DependencyGraphNode(
        UPOS="VERB|NOUN|PROPN|AUX|PRON")  # aux is for be word
    adv_node = DependencyGraphNode(UPOS="ADV|X|NOUN|ADJ|VERB")

    pattern.add_nodes([verb_node, adv_node])

    pattern.add_dependency(verb_node, adv_node, r'advmod')

    for match in dep_graph.match(pattern):

        dep_verb_node = match[verb_node]
        dep_adv_node = match[adv_node]

        if context.is_processed(dep_verb_node, dep_adv_node):
            continue

        if oia_graph.has_relation(dep_verb_node, dep_adv_node):
            continue

        obl_children = [
            x for x, l in dep_graph.children(
                dep_adv_node, filter=lambda n, l: l.startswith("obl"))
        ]

        obl_node = None
        obl_has_case = False
        if len(obl_children) == 1:

            obl_node = obl_children[0]

            case_nodes = list(n for n, l in dep_graph.children(
                obl_node, filter=lambda n, l: "case" in l))

            if case_nodes:
                # if obl with case, let the oblique to process it
                obl_has_case = True

        mark_children = [
            x for x, l in dep_graph.children(
                dep_adv_node, filter=lambda n, l: l.startswith("mark"))
        ]

        oia_verb_node = oia_graph.add_words(dep_verb_node.position)
        oia_adv_node = oia_graph.add_words(dep_adv_node.position)

        if obl_node and not obl_has_case:
            # arg_nodes = list(dep_graph.offsprings(obl_node))
            # arg_nodes.sort(key=lambda x: x.LOC)
            # arg_words = [x.ID for x in arg_nodes]
            # head = obl_node.ID

            oia_arg_node = oia_graph.add_words(obl_node.position)

            oia_graph.add_argument(oia_adv_node, oia_verb_node, 1, mod=True)
            oia_graph.add_argument(oia_adv_node, oia_arg_node, 2)
        else:
            if mark_children:
                mark_node = mark_children[0]
                oia_pred_node = oia_graph.add_words(mark_node.position)

                oia_graph.add_argument(oia_pred_node,
                                       oia_verb_node,
                                       1,
                                       mod=True)
                oia_graph.add_argument(oia_pred_node, oia_adv_node, 2)

            else:
                oia_graph.add_mod(oia_adv_node, oia_verb_node)
def adv_ccomp(dep_graph: DependencyGraph, oia_graph: OIAGraph,
              context: UD2OIAContext):
    """

    :param dep_graph:
    :param oia_graph:
    :return:
    """

    pattern = DependencyGraph()

    # TODO: it seems that in UD labeling, adv is used instead of adj for noun
    # verb_node = pattern.create_node(UPOS="VERB|NOUN|PROPN")
    adv_node = pattern.create_node(UPOS="ADV|X|NOUN|PART")  # part is for "not"
    ccomp_node = pattern.create_node()

    # pattern.add_dependency(verb_node, adv_node, r'advmod')
    pattern.add_dependency(adv_node, ccomp_node, r"ccomp|xcomp")

    patterns = []
    for match in dep_graph.match(pattern):

        # dep_verb_node = match[verb_node]
        dep_adv_node = match[adv_node]
        dep_ccomp_node = match[ccomp_node]

        if oia_graph.has_relation(dep_adv_node, dep_ccomp_node):
            continue

        dep_case_nodes = [
            n for n, l in
            dep_graph.children(dep_ccomp_node,
                               filter=lambda n, l: "case" == l and dep_adv_node
                               .LOC < n.LOC < dep_ccomp_node.LOC)
        ]

        if dep_case_nodes:
            dep_case_nodes = continuous_component(dep_case_nodes,
                                                  dep_case_nodes[0])
            predicate_nodes = [dep_adv_node] + dep_case_nodes
            predicate_nodes.sort(key=lambda n: n.LOC)
        else:
            predicate_nodes = [dep_adv_node]

        dep_subj_nodes = [
            n for n, l in dep_graph.parents(dep_adv_node,
                                            filter=lambda n, l: "advmod" == l
                                            and n.UPOS in {"ADV", "X", "NOUN"})
        ]
        if len(dep_subj_nodes) > 1:
            raise Exception("Multiple subject")
        elif len(dep_subj_nodes) > 0:
            dep_subj_node = dep_subj_nodes[0]
        else:
            dep_subj_node = None

        patterns.append([dep_subj_node, predicate_nodes, dep_ccomp_node])

    for dep_subj_node, predicate_nodes, dep_ccomp_node in patterns:

        if len(predicate_nodes) > 1:

            new_pred_node = dep_graph.create_node(
                ID=" ".join([x.ID for x in predicate_nodes]),
                FORM=" ".join([x.FORM for x in predicate_nodes]),
                LEMMA=" ".join([x.LEMMA for x in predicate_nodes]),
                UPOS="ADV",
                LOC=predicate_nodes[0].LOC)

            new_pred_node.aux = True

            dep_graph.replace_nodes(predicate_nodes, new_pred_node)

            dep_graph.remove_dependency(dep_ccomp_node, new_pred_node)

        else:
            new_pred_node = predicate_nodes[0]

        oia_pred_node = oia_graph.add_words(new_pred_node.position)

        if dep_subj_node:
            oia_subj_node = oia_graph.add_words(dep_subj_node.position)
            oia_graph.add_argument(oia_pred_node, oia_subj_node, 1, mod=True)

        else:
            oia_ccomp_node = oia_graph.add_words(dep_ccomp_node.position)
            oia_graph.add_argument(oia_pred_node, oia_ccomp_node, 2)