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https://github.com/explosion/spaCy.git
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a9cb2882cb
* doc_or_span -> obj
* Revert "doc_or_span -> obj"
This reverts commit 78bb9ff5e0.
* obj -> doclike
* Refer to correct object
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from ...symbols import NOUN, PROPN, PRON
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from ...errors import Errors
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def noun_chunks(doclike):
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"""
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Detect base noun phrases from a dependency parse. Works on both Doc and Span.
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"""
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# this iterator extracts spans headed by NOUNs starting from the left-most
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# syntactic dependent until the NOUN itself for close apposition and
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# measurement construction, the span is sometimes extended to the right of
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# the NOUN. Example: "eine Tasse Tee" (a cup (of) tea) returns "eine Tasse Tee"
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# and not just "eine Tasse", same for "das Thema Familie".
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labels = [
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"sb",
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"oa",
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"da",
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"nk",
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"mo",
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"ag",
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"ROOT",
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"root",
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"cj",
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"pd",
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"og",
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"app",
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]
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doc = doclike.doc # Ensure works on both Doc and Span.
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if not doc.is_parsed:
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raise ValueError(Errors.E029)
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np_label = doc.vocab.strings.add("NP")
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np_deps = set(doc.vocab.strings.add(label) for label in labels)
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close_app = doc.vocab.strings.add("nk")
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rbracket = 0
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for i, word in enumerate(doclike):
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if i < rbracket:
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continue
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if word.pos in (NOUN, PROPN, PRON) and word.dep in np_deps:
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rbracket = word.i + 1
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# try to extend the span to the right
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# to capture close apposition/measurement constructions
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for rdep in doc[word.i].rights:
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if rdep.pos in (NOUN, PROPN) and rdep.dep == close_app:
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rbracket = rdep.i + 1
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yield word.left_edge.i, rbracket, np_label
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SYNTAX_ITERATORS = {"noun_chunks": noun_chunks}
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