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import sys |
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from .dependencyTree import Word, DependenciesTree |
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from .data.questionWord import closeQuestionWord, openQuestionWord, strongQuestionWord, questionAdd, questionWIs, questionType, existQuestionWord, semiQuestionWord |
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from ppp_datamodel import Resource, Triple, Missing, Intersection, List, Union, And, Or, Exists, Sort, Nth |
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##################################### |
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# Identify and remove question word # |
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##################################### |
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def prepareInstanceOf(t): |
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""" |
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Replace by 'inst_of' the highest dependency that appears on a path from the root of t to the root of the whole tree |
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""" |
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if t.parent and t.parent.dependency.lower() == 'root': |
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t.dependency = 'inst_of' |
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return |
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elif t.parent: |
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prepareInstanceOf(t.parent) |
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def removeWord(t, word): |
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""" |
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Remove word (of type str*int = s*position_of_s_in_sentence) from tree t |
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""" |
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if word in t.wordList: |
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prepareInstanceOf(t) # <<< |
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for u in t.child: # the word is in the middle of the tree |
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u.dependency = t.dependency |
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u.parent = t.parent |
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t.parent.child.append(u) |
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t.parent.child.remove(t) |
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else: |
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for c in t.child: |
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removeWord(c, word) |
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def firstWords(t, start): |
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""" |
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Put the 2 first words of the sentence (if they are in the tree) in start (list of size 2) |
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""" |
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for n in t.wordList: |
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if n.index == 1: |
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start[0] = n |
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elif n.index == 2: |
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start[1] = n |
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for c in t.child: |
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firstWords(c, start) |
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def identifyQuestionWord(t): |
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""" |
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Identify, remove (if necessary) and return the question word. |
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If there is no question word, return None. |
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""" |
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start = [None, None] |
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firstWords(t, start) |
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try: # the first words are not in the tree, we extract them directly from the sentence |
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start[0] = start[0] or Word(t.text.split(' ', 1)[0], 1) |
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start[1] = start[1] or Word(t.text.split(' ', 1)[1], 2) |
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except IndexError: |
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pass |
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if start[1]: |
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w = start[0].word.lower() + ' ' + start[1].word.lower() |
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if w in openQuestionWord or w in semiQuestionWord or w in existQuestionWord: |
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removeWord(t, start[0]) |
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removeWord(t, start[1]) |
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return w |
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w = start[0].word.lower() |
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if w in openQuestionWord or w in semiQuestionWord: |
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removeWord(t, start[0]) |
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return w |
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if w in closeQuestionWord: |
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return w |
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return None |
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######################################################## |
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# Process question word to improve the dependency tree # |
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######################################################## |
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def processQuestionType(t, w, typeMap=questionType): |
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""" |
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Add a type to the root of the tree (= type of the answer) depending on the question word |
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""" |
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try: |
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t.subtreeType = typeMap[w] |
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except KeyError: |
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pass |
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def questionWordDependencyTree(t, w): |
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processQuestionType(t, w) # type the ROOT according to the question word |
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if w in existQuestionWord: # prepare the production of an Exists node |
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t.child[0].dependency = 'Rexist' |
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#################################################### |
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# Process question word to improve the normal form # |
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#################################################### |
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def extractPredicates(nf): |
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""" |
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Assume that nf is a triple |
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Returns the lists of strings (values) that are predicates of the triple |
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""" |
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if isinstance(nf.predicate, Resource): |
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return [nf.predicate.value] |
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else: |
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return [x.value for x in nf.predicate.list] |
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def enhanceTriple(nf, w, addMap=questionAdd, wisMap=questionWIs): |
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""" |
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Add info into the triple depending on the question word |
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""" |
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predList = extractPredicates(nf) |
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try: |
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if 'identity' in predList: |
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if w in strongQuestionWord or isinstance(nf.subject, Resource) or isinstance(nf.object, Resource): # strong qw or triple of depth 1 |
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return Triple(nf.subject, List([Resource(x) for x in wisMap[w]]), nf.object) # !! Other info lost (type...) (inverse_predicate: not relevant) |
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else: # delete the first level |
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if isinstance(nf.subject, Missing): |
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return nf.object |
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else: |
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return nf.subject |
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elif not 'instance of' in predList: # add info into the predicates list (except for instance_of predicate) |
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return Triple(nf.subject, List([Resource(x) for x in predList] + [Resource(x+' '+y) for x in predList for y in addMap[w]]), nf.object, nf.inverse_predicate) # !! Other info lost (type...) (reverse_predicate not enhance?) |
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else: |
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return nf |
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except KeyError: |
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return nf |
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def processQuestionInfo(nf, w): |
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""" |
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Add info into the first triples depending on the question word |
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""" |
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if isinstance(nf, (List, Intersection, Union, And, Or)): |
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result = [] |
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for u in nf.list: |
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result.append(processQuestionInfo(u, w)) |
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return type(nf)(result) |
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elif isinstance(nf, (Nth, Exists)): |
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return type(nf)(processQuestionInfo(nf.list, w)) |
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elif isinstance(nf, Sort) or isinstance(nf, Resource): |
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return nf |
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elif isinstance(nf, Triple): |
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return enhanceTriple(nf, w) |
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else: |
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assert False |
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def questionWordNormalForm(nf, w): |
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""" |
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Improve the normal form using the question word |
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""" |
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if w in openQuestionWord: |
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return processQuestionInfo(nf, w) |
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return nf |
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ProjetPP /
PPP-QuestionParsing-Grammatical
