/* * Copyright 2013 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universität Darmstadt * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package de.tudarmstadt.ukp.dkpro.core.dictionaryannotator.semantictagging; import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngine; import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription; import static org.apache.uima.fit.factory.ExternalResourceFactory.createExternalResourceDescription; import static org.apache.uima.fit.util.JCasUtil.select; import org.apache.uima.UIMAException; import org.apache.uima.analysis_engine.AnalysisEngine; import org.apache.uima.analysis_engine.AnalysisEngineDescription; import org.apache.uima.fit.testing.factory.TokenBuilder; import org.apache.uima.fit.util.JCasUtil; import org.apache.uima.jcas.JCas; import org.junit.Test; import de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.NN; import de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Lemma; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Sentence; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Token; import de.tudarmstadt.ukp.dkpro.core.api.semantics.type.SemanticField; import de.tudarmstadt.ukp.dkpro.core.testing.AssertAnnotations; /** * */ public class SemanticFieldAnnotatorTest { @Test public void test() throws Exception { runTest("en", "Vanilla in the sky prefers braveness over jumpiness .", new String[] { "vanilla", "in", "the", "sky", "prefer", "braveness", "over", "jumpiness", "." }, new String[] { "NN", "NOT_RELEVANT", "NOT_RELEVANT", "NN", "NOT_RELEVANT", "NN", "NOT_RELEVANT", "NN", "$." }, new String[] { "plant", "object", "attribute", "feeling" }); runTest("en", "Vanilla in the distantGalaxyBehindJupiter prefers braveness over jumpiness .", new String[] { "vanilla", "in", "the", "distantGalaxyBehindJupiter", "prefer", "braveness", "over", "jumpiness", "." }, new String[] { "NN", "NOT_RELEVANT", "NOT_RELEVANT", "NN", "NOT_RELEVANT", "NN", "NOT_RELEVANT", "NN", "$." }, new String[] { "plant", "UNKNOWN", "attribute", "feeling" }); } private void runTest(String language, String testDocument, String[] documentLemmas, String[] documentPosTags, String[] documentNounSemanticFields) throws UIMAException { AnalysisEngineDescription processor = createEngineDescription( createEngineDescription( SemanticFieldAnnotator.class, SemanticFieldAnnotator.PARAM_ANNOTATION_TYPE, Token.class, SemanticFieldAnnotator.PARAM_CONSTRAINT, ".[pos/posValue = 'NN']", SemanticFieldAnnotator.PARAM_SEMANTIC_FIELD_RESOURCE, createExternalResourceDescription(SemanticTagResource.class, SemanticTagResource.PARAM_RESOURCE_PATH, "src/test/resources/nounSemanticFieldMapTest.txt"))); AnalysisEngine engine = createEngine(processor); JCas aJCas = engine.newJCas(); aJCas.setDocumentLanguage(language); TokenBuilder<Token, Sentence> tb = new TokenBuilder<Token, Sentence>(Token.class, Sentence.class); tb.buildTokens(aJCas, testDocument); int offset = 0; for (Token token : JCasUtil.select(aJCas, Token.class)) { if (documentPosTags[offset].matches("NN")) { NN nn = new NN(aJCas, token.getBegin(), token.getEnd()); nn.setPosValue(documentPosTags[offset]); nn.addToIndexes(); token.setPos(nn); } else { POS pos = new POS(aJCas, token.getBegin(), token.getEnd()); pos.setPosValue(documentPosTags[offset]); pos.addToIndexes(); token.setPos(pos); } Lemma lemma = new Lemma(aJCas, token.getBegin(), token.getEnd()); lemma.setValue(documentLemmas[offset]); lemma.addToIndexes(); token.setLemma(lemma); offset++; } engine.process(aJCas); AssertAnnotations.assertSemanticField(documentNounSemanticFields, select(aJCas, SemanticField.class)); } }