120 lines
5.0 KiB
Java
120 lines
5.0 KiB
Java
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.deeplearning4j.text.movingwindow;
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import org.apache.commons.lang3.StringUtils;
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import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
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import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
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import org.nd4j.common.base.Preconditions;
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import org.nd4j.common.collection.MultiDimensionalMap;
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import org.nd4j.common.primitives.Pair;
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import java.util.ArrayList;
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import java.util.List;
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public class ContextLabelRetriever {
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private static String BEGIN_LABEL = "<([A-Za-z]+|\\d+)>";
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private static String END_LABEL = "</([A-Za-z]+|\\d+)>";
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private ContextLabelRetriever() {}
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/**
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* Returns a stripped sentence with the indices of words
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* with certain kinds of labels.
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* @param sentence the sentence to process
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* @return a pair of a post processed sentence
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* with labels stripped and the spans of
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* the labels
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*/
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public static Pair<String, MultiDimensionalMap<Integer, Integer, String>> stringWithLabels(String sentence,
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TokenizerFactory tokenizerFactory) {
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MultiDimensionalMap<Integer, Integer, String> map = MultiDimensionalMap.newHashBackedMap();
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Tokenizer t = tokenizerFactory.create(sentence);
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List<String> currTokens = new ArrayList<>();
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String currLabel = null;
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String endLabel = null;
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List<Pair<String, List<String>>> tokensWithSameLabel = new ArrayList<>();
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while (t.hasMoreTokens()) {
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String token = t.nextToken();
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if (token.matches(BEGIN_LABEL)) {
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if (endLabel != null)
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throw new IllegalStateException(
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"Tried parsing sentence; found an end label when the begin label has not been cleared");
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currLabel = token;
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//no labels; add these as NONE and begin the new label
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if (!currTokens.isEmpty()) {
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tokensWithSameLabel.add(new Pair<>("NONE", (List<String>) new ArrayList<>(currTokens)));
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currTokens.clear();
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}
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} else if (token.matches(END_LABEL)) {
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if (currLabel == null)
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throw new IllegalStateException("Found an ending label with no matching begin label");
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endLabel = token;
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} else
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currTokens.add(token);
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if (currLabel != null && endLabel != null) {
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currLabel = currLabel.replaceAll("[<>/]", "");
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endLabel = endLabel.replaceAll("[<>/]", "");
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Preconditions.checkState(!currLabel.isEmpty(), "Current label is empty!");
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Preconditions.checkState(!endLabel.isEmpty(), "End label is empty!");
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Preconditions.checkState(currLabel.equals(endLabel), "Current label begin and end did not match for the parse. Was: %s ending with %s", currLabel, endLabel);
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tokensWithSameLabel.add(new Pair<>(currLabel, (List<String>) new ArrayList<>(currTokens)));
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currTokens.clear();
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//clear out the tokens
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currLabel = null;
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endLabel = null;
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}
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}
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//no labels; add these as NONE and begin the new label
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if (!currTokens.isEmpty()) {
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tokensWithSameLabel.add(new Pair<>("none", (List<String>) new ArrayList<>(currTokens)));
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currTokens.clear();
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}
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//now join the output
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StringBuilder strippedSentence = new StringBuilder();
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for (Pair<String, List<String>> tokensWithLabel : tokensWithSameLabel) {
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String joinedSentence = StringUtils.join(tokensWithLabel.getSecond(), " ");
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//spaces between separate parts of the sentence
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if (!(strippedSentence.length() < 1))
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strippedSentence.append(" ");
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strippedSentence.append(joinedSentence);
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int begin = strippedSentence.toString().indexOf(joinedSentence);
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int end = begin + joinedSentence.length();
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map.put(begin, end, tokensWithLabel.getFirst());
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}
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return new Pair<>(strippedSentence.toString(), map);
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}
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}
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