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126 lines
3.8 KiB
Python
126 lines
3.8 KiB
Python
# Natural Language Toolkit: IEER Corpus Reader
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#
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# Copyright (C) 2001-2020 NLTK Project
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# Author: Steven Bird <stevenbird1@gmail.com>
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# Edward Loper <edloper@gmail.com>
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# URL: <http://nltk.org/>
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# For license information, see LICENSE.TXT
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"""
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Corpus reader for the Information Extraction and Entity Recognition Corpus.
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NIST 1999 Information Extraction: Entity Recognition Evaluation
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http://www.itl.nist.gov/iad/894.01/tests/ie-er/er_99/er_99.htm
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This corpus contains the NEWSWIRE development test data for the
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NIST 1999 IE-ER Evaluation. The files were taken from the
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subdirectory: /ie_er_99/english/devtest/newswire/*.ref.nwt
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and filenames were shortened.
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The corpus contains the following files: APW_19980314, APW_19980424,
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APW_19980429, NYT_19980315, NYT_19980403, and NYT_19980407.
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"""
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import nltk
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from nltk.corpus.reader.api import *
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#: A dictionary whose keys are the names of documents in this corpus;
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#: and whose values are descriptions of those documents' contents.
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titles = {
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"APW_19980314": "Associated Press Weekly, 14 March 1998",
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"APW_19980424": "Associated Press Weekly, 24 April 1998",
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"APW_19980429": "Associated Press Weekly, 29 April 1998",
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"NYT_19980315": "New York Times, 15 March 1998",
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"NYT_19980403": "New York Times, 3 April 1998",
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"NYT_19980407": "New York Times, 7 April 1998",
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}
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#: A list of all documents in this corpus.
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documents = sorted(titles)
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class IEERDocument(object):
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def __init__(self, text, docno=None, doctype=None, date_time=None, headline=""):
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self.text = text
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self.docno = docno
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self.doctype = doctype
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self.date_time = date_time
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self.headline = headline
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def __repr__(self):
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if self.headline:
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headline = " ".join(self.headline.leaves())
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else:
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headline = (
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" ".join([w for w in self.text.leaves() if w[:1] != "<"][:12]) + "..."
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)
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if self.docno is not None:
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return "<IEERDocument %s: %r>" % (self.docno, headline)
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else:
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return "<IEERDocument: %r>" % headline
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class IEERCorpusReader(CorpusReader):
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"""
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"""
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def raw(self, fileids=None):
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if fileids is None:
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fileids = self._fileids
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elif isinstance(fileids, str):
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fileids = [fileids]
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return concat([self.open(f).read() for f in fileids])
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def docs(self, fileids=None):
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return concat(
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[
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StreamBackedCorpusView(fileid, self._read_block, encoding=enc)
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for (fileid, enc) in self.abspaths(fileids, True)
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]
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)
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def parsed_docs(self, fileids=None):
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return concat(
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[
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StreamBackedCorpusView(fileid, self._read_parsed_block, encoding=enc)
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for (fileid, enc) in self.abspaths(fileids, True)
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]
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)
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def _read_parsed_block(self, stream):
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# TODO: figure out while empty documents are being returned
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return [
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self._parse(doc)
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for doc in self._read_block(stream)
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if self._parse(doc).docno is not None
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]
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def _parse(self, doc):
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val = nltk.chunk.ieerstr2tree(doc, root_label="DOCUMENT")
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if isinstance(val, dict):
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return IEERDocument(**val)
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else:
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return IEERDocument(val)
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def _read_block(self, stream):
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out = []
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# Skip any preamble.
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while True:
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line = stream.readline()
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if not line:
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break
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if line.strip() == "<DOC>":
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break
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out.append(line)
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# Read the document
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while True:
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line = stream.readline()
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if not line:
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break
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out.append(line)
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if line.strip() == "</DOC>":
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break
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# Return the document
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return ["\n".join(out)]
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