pipeline/nltk/corpus/reader/propbank.py

# Natural Language Toolkit: PropBank Corpus Reader
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <[email protected]>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT

import re
from functools import total_ordering
from xml.etree import ElementTree

from nltk.corpus.reader.api import *
from nltk.corpus.reader.util import *
from nltk.internals import raise_unorderable_types
from nltk.tree import Tree


class PropbankCorpusReader(CorpusReader):
    """

    Corpus reader for the propbank corpus, which augments the Penn

    Treebank with information about the predicate argument structure

    of every verb instance.  The corpus consists of two parts: the

    predicate-argument annotations themselves, and a set of "frameset

    files" which define the argument labels used by the annotations,

    on a per-verb basis.  Each "frameset file" contains one or more

    predicates, such as ``'turn'`` or ``'turn_on'``, each of which is

    divided into coarse-grained word senses called "rolesets".  For

    each "roleset", the frameset file provides descriptions of the

    argument roles, along with examples.

    """

    def __init__(

        self,

        root,

        propfile,

        framefiles="",

        verbsfile=None,

        parse_fileid_xform=None,

        parse_corpus=None,

        encoding="utf8",

    ):
        """

        :param root: The root directory for this corpus.

        :param propfile: The name of the file containing the predicate-

            argument annotations (relative to ``root``).

        :param framefiles: A list or regexp specifying the frameset

            fileids for this corpus.

        :param parse_fileid_xform: A transform that should be applied

            to the fileids in this corpus.  This should be a function

            of one argument (a fileid) that returns a string (the new

            fileid).

        :param parse_corpus: The corpus containing the parse trees

            corresponding to this corpus.  These parse trees are

            necessary to resolve the tree pointers used by propbank.

        """
        # If framefiles is specified as a regexp, expand it.
        if isinstance(framefiles, str):
            framefiles = find_corpus_fileids(root, framefiles)
        framefiles = list(framefiles)
        # Initialize the corpus reader.
        CorpusReader.__init__(self, root, [propfile, verbsfile] + framefiles, encoding)

        # Record our frame fileids & prop file.
        self._propfile = propfile
        self._framefiles = framefiles
        self._verbsfile = verbsfile
        self._parse_fileid_xform = parse_fileid_xform
        self._parse_corpus = parse_corpus

    def instances(self, baseform=None):
        """

        :return: a corpus view that acts as a list of

            ``PropBankInstance`` objects, one for each noun in the corpus.

        """
        kwargs = {}
        if baseform is not None:
            kwargs["instance_filter"] = lambda inst: inst.baseform == baseform
        return StreamBackedCorpusView(
            self.abspath(self._propfile),
            lambda stream: self._read_instance_block(stream, **kwargs),
            encoding=self.encoding(self._propfile),
        )

    def lines(self):
        """

        :return: a corpus view that acts as a list of strings, one for

            each line in the predicate-argument annotation file.

        """
        return StreamBackedCorpusView(
            self.abspath(self._propfile),
            read_line_block,
            encoding=self.encoding(self._propfile),
        )

    def roleset(self, roleset_id):
        """

        :return: the xml description for the given roleset.

        """
        baseform = roleset_id.split(".")[0]
        framefile = "frames/%s.xml" % baseform
        if framefile not in self._framefiles:
            raise ValueError("Frameset file for %s not found" % roleset_id)

        # n.b.: The encoding for XML fileids is specified by the file
        # itself; so we ignore self._encoding here.
        with self.abspath(framefile).open() as fp:
            etree = ElementTree.parse(fp).getroot()
        for roleset in etree.findall("predicate/roleset"):
            if roleset.attrib["id"] == roleset_id:
                return roleset
        raise ValueError(f"Roleset {roleset_id} not found in {framefile}")

    def rolesets(self, baseform=None):
        """

        :return: list of xml descriptions for rolesets.

        """
        if baseform is not None:
            framefile = "frames/%s.xml" % baseform
            if framefile not in self._framefiles:
                raise ValueError("Frameset file for %s not found" % baseform)
            framefiles = [framefile]
        else:
            framefiles = self._framefiles

        rsets = []
        for framefile in framefiles:
            # n.b.: The encoding for XML fileids is specified by the file
            # itself; so we ignore self._encoding here.
            with self.abspath(framefile).open() as fp:
                etree = ElementTree.parse(fp).getroot()
            rsets.append(etree.findall("predicate/roleset"))
        return LazyConcatenation(rsets)

    def verbs(self):
        """

        :return: a corpus view that acts as a list of all verb lemmas

            in this corpus (from the verbs.txt file).

        """
        return StreamBackedCorpusView(
            self.abspath(self._verbsfile),
            read_line_block,
            encoding=self.encoding(self._verbsfile),
        )

    def _read_instance_block(self, stream, instance_filter=lambda inst: True):
        block = []

        # Read 100 at a time.
        for i in range(100):
            line = stream.readline().strip()
            if line:
                inst = PropbankInstance.parse(
                    line, self._parse_fileid_xform, self._parse_corpus
                )
                if instance_filter(inst):
                    block.append(inst)

        return block


######################################################################
# { Propbank Instance & related datatypes
######################################################################


class PropbankInstance:
    def __init__(

        self,

        fileid,

        sentnum,

        wordnum,

        tagger,

        roleset,

        inflection,

        predicate,

        arguments,

        parse_corpus=None,

    ):

        self.fileid = fileid
        """The name of the file containing the parse tree for this

        instance's sentence."""

        self.sentnum = sentnum
        """The sentence number of this sentence within ``fileid``.

        Indexing starts from zero."""

        self.wordnum = wordnum
        """The word number of this instance's predicate within its

        containing sentence.  Word numbers are indexed starting from

        zero, and include traces and other empty parse elements."""

        self.tagger = tagger
        """An identifier for the tagger who tagged this instance; or

        ``'gold'`` if this is an adjuticated instance."""

        self.roleset = roleset
        """The name of the roleset used by this instance's predicate.

        Use ``propbank.roleset() <PropbankCorpusReader.roleset>`` to

        look up information about the roleset."""

        self.inflection = inflection
        """A ``PropbankInflection`` object describing the inflection of

        this instance's predicate."""

        self.predicate = predicate
        """A ``PropbankTreePointer`` indicating the position of this

        instance's predicate within its containing sentence."""

        self.arguments = tuple(arguments)
        """A list of tuples (argloc, argid), specifying the location

        and identifier for each of the predicate's argument in the

        containing sentence.  Argument identifiers are strings such as

        ``'ARG0'`` or ``'ARGM-TMP'``.  This list does *not* contain

        the predicate."""

        self.parse_corpus = parse_corpus
        """A corpus reader for the parse trees corresponding to the

        instances in this propbank corpus."""

    @property
    def baseform(self):
        """The baseform of the predicate."""
        return self.roleset.split(".")[0]

    @property
    def sensenumber(self):
        """The sense number of the predicate."""
        return self.roleset.split(".")[1]

    @property
    def predid(self):
        """Identifier of the predicate."""
        return "rel"

    def __repr__(self):
        return "<PropbankInstance: {}, sent {}, word {}>".format(
            self.fileid,
            self.sentnum,
            self.wordnum,
        )

    def __str__(self):
        s = "{} {} {} {} {} {}".format(
            self.fileid,
            self.sentnum,
            self.wordnum,
            self.tagger,
            self.roleset,
            self.inflection,
        )
        items = self.arguments + ((self.predicate, "rel"),)
        for (argloc, argid) in sorted(items):
            s += f" {argloc}-{argid}"
        return s

    def _get_tree(self):
        if self.parse_corpus is None:
            return None
        if self.fileid not in self.parse_corpus.fileids():
            return None
        return self.parse_corpus.parsed_sents(self.fileid)[self.sentnum]

    tree = property(
        _get_tree,
        doc="""

        The parse tree corresponding to this instance, or None if

        the corresponding tree is not available.""",
    )

    @staticmethod
    def parse(s, parse_fileid_xform=None, parse_corpus=None):
        pieces = s.split()
        if len(pieces) < 7:
            raise ValueError("Badly formatted propbank line: %r" % s)

        # Divide the line into its basic pieces.
        (fileid, sentnum, wordnum, tagger, roleset, inflection) = pieces[:6]
        rel = [p for p in pieces[6:] if p.endswith("-rel")]
        args = [p for p in pieces[6:] if not p.endswith("-rel")]
        if len(rel) != 1:
            raise ValueError("Badly formatted propbank line: %r" % s)

        # Apply the fileid selector, if any.
        if parse_fileid_xform is not None:
            fileid = parse_fileid_xform(fileid)

        # Convert sentence & word numbers to ints.
        sentnum = int(sentnum)
        wordnum = int(wordnum)

        # Parse the inflection
        inflection = PropbankInflection.parse(inflection)

        # Parse the predicate location.
        predicate = PropbankTreePointer.parse(rel[0][:-4])

        # Parse the arguments.
        arguments = []
        for arg in args:
            argloc, argid = arg.split("-", 1)
            arguments.append((PropbankTreePointer.parse(argloc), argid))

        # Put it all together.
        return PropbankInstance(
            fileid,
            sentnum,
            wordnum,
            tagger,
            roleset,
            inflection,
            predicate,
            arguments,
            parse_corpus,
        )


class PropbankPointer:
    """

    A pointer used by propbank to identify one or more constituents in

    a parse tree.  ``PropbankPointer`` is an abstract base class with

    three concrete subclasses:



      - ``PropbankTreePointer`` is used to point to single constituents.

      - ``PropbankSplitTreePointer`` is used to point to 'split'

        constituents, which consist of a sequence of two or more

        ``PropbankTreePointer`` pointers.

      - ``PropbankChainTreePointer`` is used to point to entire trace

        chains in a tree.  It consists of a sequence of pieces, which

        can be ``PropbankTreePointer`` or ``PropbankSplitTreePointer`` pointers.

    """

    def __init__(self):
        if self.__class__ == PropbankPointer:
            raise NotImplementedError()


class PropbankChainTreePointer(PropbankPointer):
    def __init__(self, pieces):
        self.pieces = pieces
        """A list of the pieces that make up this chain.  Elements may

           be either ``PropbankSplitTreePointer`` or

           ``PropbankTreePointer`` pointers."""

    def __str__(self):
        return "*".join("%s" % p for p in self.pieces)

    def __repr__(self):
        return "<PropbankChainTreePointer: %s>" % self

    def select(self, tree):
        if tree is None:
            raise ValueError("Parse tree not available")
        return Tree("*CHAIN*", [p.select(tree) for p in self.pieces])


class PropbankSplitTreePointer(PropbankPointer):
    def __init__(self, pieces):
        self.pieces = pieces
        """A list of the pieces that make up this chain.  Elements are

           all ``PropbankTreePointer`` pointers."""

    def __str__(self):
        return ",".join("%s" % p for p in self.pieces)

    def __repr__(self):
        return "<PropbankSplitTreePointer: %s>" % self

    def select(self, tree):
        if tree is None:
            raise ValueError("Parse tree not available")
        return Tree("*SPLIT*", [p.select(tree) for p in self.pieces])


@total_ordering
class PropbankTreePointer(PropbankPointer):
    """

    wordnum:height*wordnum:height*...

    wordnum:height,



    """

    def __init__(self, wordnum, height):
        self.wordnum = wordnum
        self.height = height

    @staticmethod
    def parse(s):
        # Deal with chains (xx*yy*zz)
        pieces = s.split("*")
        if len(pieces) > 1:
            return PropbankChainTreePointer(
                [PropbankTreePointer.parse(elt) for elt in pieces]
            )

        # Deal with split args (xx,yy,zz)
        pieces = s.split(",")
        if len(pieces) > 1:
            return PropbankSplitTreePointer(
                [PropbankTreePointer.parse(elt) for elt in pieces]
            )

        # Deal with normal pointers.
        pieces = s.split(":")
        if len(pieces) != 2:
            raise ValueError("bad propbank pointer %r" % s)
        return PropbankTreePointer(int(pieces[0]), int(pieces[1]))

    def __str__(self):
        return f"{self.wordnum}:{self.height}"

    def __repr__(self):
        return "PropbankTreePointer(%d, %d)" % (self.wordnum, self.height)

    def __eq__(self, other):
        while isinstance(other, (PropbankChainTreePointer, PropbankSplitTreePointer)):
            other = other.pieces[0]

        if not isinstance(other, PropbankTreePointer):
            return self is other

        return self.wordnum == other.wordnum and self.height == other.height

    def __ne__(self, other):
        return not self == other

    def __lt__(self, other):
        while isinstance(other, (PropbankChainTreePointer, PropbankSplitTreePointer)):
            other = other.pieces[0]

        if not isinstance(other, PropbankTreePointer):
            return id(self) < id(other)

        return (self.wordnum, -self.height) < (other.wordnum, -other.height)

    def select(self, tree):
        if tree is None:
            raise ValueError("Parse tree not available")
        return tree[self.treepos(tree)]

    def treepos(self, tree):
        """

        Convert this pointer to a standard 'tree position' pointer,

        given that it points to the given tree.

        """
        if tree is None:
            raise ValueError("Parse tree not available")
        stack = [tree]
        treepos = []

        wordnum = 0
        while True:
            # tree node:
            if isinstance(stack[-1], Tree):
                # Select the next child.
                if len(treepos) < len(stack):
                    treepos.append(0)
                else:
                    treepos[-1] += 1
                # Update the stack.
                if treepos[-1] < len(stack[-1]):
                    stack.append(stack[-1][treepos[-1]])
                else:
                    # End of node's child list: pop up a level.
                    stack.pop()
                    treepos.pop()
            # word node:
            else:
                if wordnum == self.wordnum:
                    return tuple(treepos[: len(treepos) - self.height - 1])
                else:
                    wordnum += 1
                    stack.pop()


class PropbankInflection:
    # { Inflection Form
    INFINITIVE = "i"
    GERUND = "g"
    PARTICIPLE = "p"
    FINITE = "v"
    # { Inflection Tense
    FUTURE = "f"
    PAST = "p"
    PRESENT = "n"
    # { Inflection Aspect
    PERFECT = "p"
    PROGRESSIVE = "o"
    PERFECT_AND_PROGRESSIVE = "b"
    # { Inflection Person
    THIRD_PERSON = "3"
    # { Inflection Voice
    ACTIVE = "a"
    PASSIVE = "p"
    # { Inflection
    NONE = "-"
    # }

    def __init__(self, form="-", tense="-", aspect="-", person="-", voice="-"):
        self.form = form
        self.tense = tense
        self.aspect = aspect
        self.person = person
        self.voice = voice

    def __str__(self):
        return self.form + self.tense + self.aspect + self.person + self.voice

    def __repr__(self):
        return "<PropbankInflection: %s>" % self

    _VALIDATE = re.compile(r"[igpv\-][fpn\-][pob\-][3\-][ap\-]$")

    @staticmethod
    def parse(s):
        if not isinstance(s, str):
            raise TypeError("expected a string")
        if len(s) != 5 or not PropbankInflection._VALIDATE.match(s):
            raise ValueError("Bad propbank inflection string %r" % s)
        return PropbankInflection(*s)